Category: Case Studies

  • Case Study 5: XML Job Feed and Predictable Vacancy URLs for RecruitNow

    Category: XML Feed Development
    Industry: Recruitment / Job Listings
    Platform: WordPress
    Integration: RecruitNow / Indeed
    Project Type: Custom XML Feed & Vacancy URL Architecture

    Project Overview

    A recruitment website needed a way to provide its job vacancies through an XML feed while also giving each vacancy a predictable URL based on a unique vacancy ID.

    The requirement was intended to support integration with RecruitNow and job boards such as Indeed, where a predictable vacancy URL could be generated automatically rather than relying on the existing job title-based URL.

    The project involved two connected requirements:

    1. Create a custom XML feed containing vacancy information and a unique vacancy ID.
    2. Create a predictable URL structure using that same ID and redirect it to the actual vacancy page.

    For example:

    https://baantjeuitzendbureau.nl/vacatures/12345
    

    would redirect to the actual vacancy page:

    https://baantjeuitzendbureau.nl/vacatures/orderpicker-logistiek-medewerker/
    

    The key idea was to use the same unique identifier in both the XML feed and the redirect URL.


    The Challenge

    The website’s existing vacancy URLs were based primarily on job titles.

    For example:

    /vacatures/orderpicker-logistiek-medewerker/
    

    The client explained that Indeed required a predictable URL structure containing a vacancy ID. The existing URLs did not provide that ID in a predictable position.

    This created a problem for the external feed integration.

    A job portal should be able to receive a vacancy ID from the XML feed and construct a URL without needing to know the actual title or permalink of the vacancy.

    The proposed structure was:

    /vacatures/{vacancyId}
    

    For example:

    /vacatures/12345
    

    The system would then identify the vacancy associated with 12345 and redirect the visitor to the actual vacancy page.

    The client specifically requested this type of URL-and-redirect behavior.


    The Proposed Solution

    The proposed architecture connected the XML feed and redirect system through a common vacancy ID.

    Step 1 — Identify the Vacancy ID

    Each vacancy would have a unique identifier.

    For example:

    vacancyId = 12345
    

    This ID would become the stable reference for the vacancy.

    Step 2 — Include the ID in the XML Feed

    The XML feed would expose the vacancy ID together with the vacancy information.

    A simplified feed item could look like:

    <vacancy>
        <vacancyId>12345</vacancyId>
        <title>Orderpicker Logistiek Medewerker</title>
        <detailUrl>
            https://baantjeuitzendbureau.nl/vacatures/orderpicker-logistiek-medewerker/
        </detailUrl>
    </vacancy>
    

    The important part is that vacancyId remains consistent with the identifier used by the redirect URL.

    The original project discussion also specified that the same ID should be available in the XML feed so RecruitNow could construct the predictable URL.


    Step 3 — Create the Predictable Vacancy URL

    A separate URL pattern would be made available:

    https://baantjeuitzendbureau.nl/vacatures/{vacancyId}
    

    For example:

    https://baantjeuitzendbureau.nl/vacatures/12345
    

    This URL does not contain the job title.

    That makes it predictable and suitable for an external system to construct automatically.


    Step 4 — Redirect to the Actual Vacancy

    When someone visits:

    /vacatures/12345
    

    the WordPress implementation would:

    1. Extract 12345 from the URL.
    2. Find the corresponding vacancy.
    3. Determine its actual permalink.
    4. Redirect the visitor to that page.

    Conceptually:

    /vacatures/12345
            ↓
    Find vacancy ID 12345
            ↓
    Find actual vacancy URL
            ↓
    /vacatures/orderpicker-logistiek-medewerker/
    

    This separates the stable external identifier from the changeable public vacancy URL.


    Why This Architecture Is Useful

    Job titles can change.

    For example, a vacancy might initially be published as:

    /vacatures/orderpicker/
    

    and later become:

    /vacatures/orderpicker-logistiek-medewerker/
    

    If an external platform depends directly on the title-based URL, such changes can create broken links or require the external feed configuration to be updated.

    A vacancy ID provides a more stable reference:

    /vacatures/12345
    

    The actual destination can change internally while the external URL remains predictable.

    This is particularly useful when a third-party recruitment platform needs to construct vacancy URLs automatically.


    XML Feed + Redirect Architecture

    The complete concept can be represented as:

                     WordPress Vacancy
                            │
                            ▼
                    Unique Vacancy ID
                         12345
                            │
                 ┌──────────┴──────────┐
                 ▼                     ▼
            XML Job Feed        Predictable URL
            vacancyId=12345     /vacatures/12345
                 │                     │
                 ▼                     ▼
            RecruitNow /          WordPress
               Indeed             Redirect
                                       │
                                       ▼
                             Actual Vacancy Page
    

    The XML feed and redirect mechanism therefore use the same identifier as the connection point.


    Initial Project Scope

    The original custom offer covered the setup of the XML feed and redirect URL functionality for RecruitNow. The offer included XML feed creation and redirect URL setup.

    During the discussion, the client confirmed that the XML feed needed to contain vacancy information and that the redirect should work using a unique ID.

    However, before implementation could be completed, the client explained that their original brief had been based on the wrong solution.

    The order was subsequently canceled while the client clarified the revised requirement.

    The client later returned with a more specific requirement: create an additional URL ending in the vacancy ID and redirect that URL to the actual vacancy detail page.


    Project Status

    This case study represents the technical analysis and proposed implementation approach, rather than a completed production deployment.

    The original order was canceled before the implementation was completed because the client’s requirements changed.

    That distinction is important: the case study demonstrates the technical problem, architecture, and proposed solution without claiming that the final system was successfully deployed.


    Key Takeaways

    This project demonstrates an important principle when building XML feeds for third-party job platforms:

    The feed and the destination URL should have a reliable common identifier.

    Instead of depending entirely on a changing job title or permalink, a unique vacancy ID can provide a stable reference between:

    • WordPress vacancy records
    • XML feed items
    • RecruitNow
    • Indeed
    • Predictable external URLs
    • Internal redirects

    A well-designed integration can therefore look like:

    WordPress
       ↓
    Vacancy ID
       ├── XML Feed
       └── Predictable URL
              ↓
          Redirect
              ↓
    Actual Vacancy Page
    

    For recruitment websites integrating with external job platforms, this approach can make the feed and URL architecture more predictable, maintainable, and easier for third-party systems to consume.

    Need a Custom XML Job Feed?

    If your WordPress website needs a custom XML, RSS, or job feed for a recruitment portal, job board, ATS, or third-party platform, the feed can be mapped to your existing WordPress vacancy structure and the required external format.

  • Case Study 4: Rebuilding and Troubleshooting a Real Estate & Boat XML Feed After a Domain Migration

    From a Simple “Add Brand” Request to Reliable Marketplace Feed Integration

    Project Overview

    A Danish boat-sales business was migrating from its old domain, dansksejlogmotor.dk, to a new branded domain, ditbaadsalg.dk.

    The domain migration itself was straightforward, but it created an important technical problem: the business relied on XML feeds to distribute its boat listings to external marketplaces, including DBA.dk and ScanBoat.

    After the migration, the feeds were still referencing the old domain and several pieces of structured listing data were not being transferred or displayed correctly.

    What initially started as a small request to add a brand field eventually became a broader XML feed debugging and optimization project involving:

    • Domain migration
    • XML field mapping
    • Product/boat specifications
    • Category mapping
    • Description formatting
    • Image ordering
    • Sold/out-of-stock filtering
    • Price synchronization
    • Scheduled feed updates
    • DBA validation
    • ScanBoat validation
    • Comparison with the previously working feed

    The project demonstrates an important principle in XML feed development: generating valid XML is only one part of the job. The receiving marketplace must also interpret every field correctly.


    1. The Initial Problem

    The business had migrated from:

    dansksejlogmotor.dk

    to:

    ditbaadsalg.dk

    The existing DBA and ScanBoat feeds were still containing URLs from the old domain.

    The first request was therefore to update the feeds so they would work with the new domain.

    Shortly afterward, the client identified another requirement:

    The DBA feed also needed to include the boat’s brand value.

    The client explained that the brand was already entered on the website, but the value was not being included in the XML output.

    At this stage, the task appeared to be a relatively small XML modification.


    2. Adding the Brand Field Exposed Other Feed Problems

    After the brand field was added, the client noticed that some boat descriptions were no longer appearing correctly in the feed.

    For example, the description for a boat such as Saga 26 HT appeared correctly on the website but was being displayed incorrectly in the feed.

    Investigation showed that the existing function responsible for cleaning descriptions for XML output was not working correctly.

    A new description-cleaning approach was therefore required.

    At the same time, another issue appeared: images were being selected in the wrong order.

    Instead of:

    1. Main image
    2. Second image
    3. Third image
    4. etc.

    the feed could contain images in an unexpected order.

    The client specifically requested that the primary product image should always be the first image.


    3. Fixing Image Ordering

    The image logic was updated so that the featured image was placed first in the XML media output.

    The change was subsequently applied to both the DBA and ScanBoat feeds.

    This was important because marketplace feeds are not simply data exports. The order and structure of repeated elements can affect how the receiving platform displays a listing.

    The client later confirmed that the image issue had been resolved.


    4. Sold Listings Were Still Appearing

    Another issue then surfaced.

    The client found several boats that had already been sold—or were hidden drafts—still appearing in the feed.

    The affected listings included:

    • Awi 23
    • Svensk træbåd
    • Princess 415
    • Monterey 254
    • Coaster 600 DC
    • Cranchi Smeraldo

    The website already had a condition intended to exclude products where _stock_status was outofstock.

    This required checking the relationship between the WordPress/WooCommerce product status and the actual feed-generation logic.

    This illustrates another common XML-feed problem: the website can display a listing correctly while the feed-generation rules use different conditions.


    5. Marketplace-Specific Field Mapping

    Once the basic feed issues were addressed, DBA began reporting problems with structured fields.

    Some important information was appearing as:

    • Length: Not specified
    • Engine type: Not specified
    • Seats: Not specified
    • Type: Other

    The client requested that the feed correctly map the boat information to DBA’s expected fields.

    The investigation then moved beyond simply producing XML.

    The receiving platform’s expected field names, formats and category structure became part of the debugging process.

    The client also supplied the old feed as a reference because it had previously worked correctly.

    This provided a valuable baseline:

    Old working feed → New feed → Side-by-side comparison


    6. Reproducing the Old Working Feed

    A particularly important requirement emerged during the project.

    The client wanted the new feed to be as close as possible to the previously working feed from the old domain, while adding the new brand field.

    The requested approach was essentially:

    Make the new feed identical to the old feed, change the sender/domain, add the required fields, and preserve the existing formats.

    The requested structured fields included:

    • category_id
    • engine_included
    • engine_type
    • engine_brand
    • engine_power_hp
    • fuel_type
    • length_feet

    along with the previously added brand field.

    The updated feed was then regenerated with these additional fields.


    7. Category Mapping Became a Critical Issue

    One of the more interesting problems was the DBA category.

    At one point, the client discovered that a value such as:

    <category>37000</category>

    was appearing in the feed and suspected that this was responsible for the incorrect marketplace display.

    The discussion then moved toward whether DBA expected a category value or a category_id value.

    A change to category_id was tested, but DBA subsequently indicated that the system was undergoing a migration to its new Dealer Hub system. The category mapping therefore could not be treated as an isolated XML problem—the receiving platform’s import system was also changing.

    The category change was eventually reverted as requested.

    Lesson

    When troubleshooting marketplace feeds, it is important to distinguish between:

    Feed-side problems

    and

    Marketplace-side import problems.

    A perfectly generated XML feed can still display incorrectly if the marketplace has not reprocessed it, is changing its import system, or is interpreting a field differently.


    8. Feed Updates Were Not Happening Quickly Enough

    Later in the project, the client noticed that:

    • A boat with a new price was still showing its old price in the marketplace.
    • A sold boat was still appearing in the marketplace.

    The client suspected that the feeds were not updating.

    The feed itself needed a more reliable update mechanism.

    A cron job was added so the feed would be refreshed every five minutes.

    This was an important improvement because there are actually two separate stages:

    WordPress data → XML feed → Marketplace import

    Updating the XML feed does not necessarily mean the marketplace has immediately imported the new data.

    That distinction became particularly important during DBA testing.


    9. DBA and ScanBoat Required Different Validation

    The project involved two external platforms:

    • DBA
    • ScanBoat

    Even though both consumed XML feeds, their expectations and processing behavior were not necessarily identical.

    The client reported that ScanBoat was receiving correct information from the old feed but not from the new feed.

    The requirement was to make the new ScanBoat feed reproduce the same data and formatting as the old feed, including decimal formatting.

    The ScanBoat feed therefore required its own validation rather than assuming that fixing the DBA feed would automatically solve the ScanBoat integration.


    10. Description Formatting

    After the marketplace began receiving the updated data, another presentation issue became visible.

    The boat description and technical specifications were appearing as one continuous block of text.

    The client wanted the content separated into readable sections such as:

    Description

    The boat’s main description.

    Dimensions

    • Feet
    • Length
    • Width
    • Draft
    • Displacement
    • Hull type
    • Berths

    Mechanical

    • Engine
    • Batteries
    • Shore power

    Equipment

    • Cockpit equipment
    • Cabin equipment
    • Refrigerator
    • Toilet
    • Other accessories

    The feed output was adjusted so the information would appear with improved separation and readability.

    The client subsequently confirmed that the text had been separated in both feeds.


    11. Testing the Feed Against Real Listings

    Rather than relying only on XML inspection, the project involved checking actual listings across the website and the marketplace.

    For example, a specific boat was compared between:

    Website listing → XML feed → DBA listing

    The client supplied actual listing URLs when an inconsistency appeared, allowing the feed data to be compared with what DBA was displaying.

    This approach is especially important for marketplace integrations.

    A feed can be:

    • syntactically valid,
    • accessible,
    • correctly formatted,

    and still produce an incorrect listing because the receiving platform interprets a field differently.


    12. The Final Testing Stage

    Toward the end of the project, the client reported that ScanBoat was working correctly.

    DBA was also displaying the listings more accurately, although additional marketplace-side processing and testing remained necessary.

    The final testing included new boat listings as well as existing/used boats.

    The project also involved checking whether length in feet was being transmitted correctly. The feed contained the length_feet field, while the client continued checking the behavior on DBA’s side.

    The client eventually confirmed on December 2, 2025:

    “Job is done :-)”


    Technical Challenges Solved

    The project ultimately addressed a much broader set of requirements than the original brand request.

    AreaIssueSolution / Approach
    Domain migrationOld domain URLs remained in feedsUpdated feed output for the new domain
    BrandBrand existed in WordPress but was missing from XMLAdded brand mapping
    DescriptionText was incorrectly formattedUpdated XML-safe description processing
    ImagesPrimary image was not consistently firstFeatured image moved to first position
    Sold listingsOut-of-stock items appeared in feedsChecked feed filtering conditions
    CategoryMarketplace category was interpreted incorrectlyCompared category/category ID requirements
    Boat specificationsLength, engine and other fields missingAdded and mapped structured fields
    PriceUpdated prices were not immediately visibleVerified feed output and marketplace reprocessing
    Feed freshnessChanges were not reflected quicklyAdded a five-minute cron refresh
    ScanBoatNew feed differed from old working feedCompared and adjusted output
    FormattingDescription/specifications appeared as one blockImproved output separation
    ValidationFeed output and marketplace display differedTested actual listings end-to-end

    The Most Important Lesson

    This project demonstrates why XML feed development is more than generating XML syntax.

    A successful marketplace feed has at least four layers:

    1. Source data

    WordPress custom fields, product data, images, prices and status.

    2. Feed mapping

    Correct XML tags, values, data types, formatting and filtering.

    3. Feed delivery

    A stable, accessible and regularly updated XML endpoint.

    4. Marketplace interpretation

    DBA, ScanBoat or another portal imports and maps the feed according to its own specifications.

    A problem can occur at any of these layers.

    That is why simply opening an XML URL in a browser is not always enough to determine whether a feed integration is working correctly.


    Result

    The project evolved from a small feed customization into a complete troubleshooting and synchronization exercise.

    The final work addressed:

    • New-domain feed output
    • Additional structured fields
    • Brand mapping
    • Boat specifications
    • Image ordering
    • Description cleaning
    • Description formatting
    • Listing filtering
    • Category handling
    • Feed refresh scheduling
    • DBA testing
    • ScanBoat testing
    • Comparison with the previous working feed

    Most importantly, the project ended with the client confirming that the job was complete and expressing interest in working together again.


    What This Case Study Shows

    For businesses moving websites, changing domains, adding marketplace integrations, or replacing an existing XML feed, the safest approach is not to build the new feed from scratch without reference.

    Instead:

    1. Preserve the existing working feed structure where possible.
    2. Compare old and new feeds item by item.
    3. Map every important custom field explicitly.
    4. Treat images as structured data, not just URLs.
    5. Filter sold, hidden and unavailable listings correctly.
    6. Validate marketplace-specific categories and field formats.
    7. Understand the difference between feed generation and marketplace import.
    8. Allow for marketplace caching and scheduled imports.
    9. Test real listings from the website through the feed to the marketplace.

    This methodology can significantly reduce the risk of losing or incorrectly displaying listings after a website migration.

    Need a Custom XML Feed?

    If your WordPress website needs a custom XML, RSS or JSON feed for a real estate portal, marketplace, directory, advertising platform or another external system, the important question is not simply:

    “Can you generate XML?”

    The real question is:

    “Can the receiving platform correctly understand and use the data?”

    That is where careful field mapping, feed validation and real-world testing make the difference.

  • Case Study 3: Real Estate Feed Development

    WordPress Custom Fields → XML/JSON Mapping → Portal-Ready Property Feeds

    The Challenge

    A real estate business operating in Thailand needed to distribute property listings from its WordPress website to multiple property portals.

    The website contained a large and continually changing inventory of properties for sale and rent. The challenge was not simply to generate an XML file. Each destination portal had its own feed structure, required fields, validation rules, filters, and data expectations.

    The project initially involved creating a feed for Nestopa, followed by additional feeds for Proppit and PropertyHub.

    The requirements evolved as the portal integrations were tested in real-world conditions, making reliable field mapping and data handling particularly important.


    The Starting Point

    The first requirement was relatively straightforward: generate a Nestopa XML feed from the property’s WordPress website.

    A custom WordPress plugin was developed to transform property data into the XML structure required by the portal.

    The initial implementation was delivered as a dedicated feed plugin, with the source code included and the feed made available through a public XML endpoint.

    The project then expanded.

    The client required another feed for Proppit, initially restricted to sale properties, with additional contact fields including:

    • Phone
    • WhatsApp
    • LINE
    • Facebook

    The Proppit feed was generated directly from the WordPress property data and made available through a public XML endpoint.


    From Simple XML Generation to Data Transformation

    As more portals were introduced, it became clear that each integration needed its own mapping logic.

    The WordPress website contained the source property information, while the portals expected their own specific structures.

    The basic architecture therefore became:

    WordPress property data

    Custom field extraction

    Data filtering and transformation

    Portal-specific field mapping

    XML/JSON generation

    Portal validation and import

    This approach allowed the same WordPress property database to support multiple destinations without requiring the website’s core property structure to be redesigned for every portal.


    Handling Property Filters

    One important requirement was controlling exactly which properties should appear in a feed.

    For example, the Proppit feed needed to distinguish between properties for sale and properties for rent.

    At one stage, the client had approximately:

    • 620 properties for sale
    • 115 properties for rent

    The requirement was to include the sale properties while excluding rentals from that particular feed. The feed was checked against the website’s property counts to confirm that the expected listings were being exported.

    Later, the requirements became more sophisticated.

    The client requested a feed containing both sale and rental properties, with rental properties filtered according to a minimum value of 25,000 THB.

    A separate requirement also specified that, when the website contained more than 1,000 properties, the feed should continuously select the 1,000 newest properties rather than attempting to export the entire database.

    This illustrates an important part of real estate feed development:

    A portal feed is not necessarily a copy of the website. It is a controlled data export based on the destination’s business rules.


    Mapping WordPress Data to Portal Fields

    Real estate websites often store information in custom fields rather than standard WordPress post fields.

    The feed therefore needed to identify the appropriate property fields and transform them into the format expected by each portal.

    The work included mapping information such as:

    • Property reference
    • Property type
    • Sale/rental status
    • Price
    • Property details
    • Land size
    • Contact information
    • Project information
    • Project ID
    • Images
    • Other portal-specific attributes

    This field-by-field mapping is where much of the practical complexity of a real estate feed lies.

    A feed can be technically valid XML or JSON and still be rejected by a portal if a value does not conform to the portal’s expected format.


    Solving Portal-Specific Validation Errors

    The Proppit integration demonstrated this clearly.

    After the feed was delivered, the portal reported an error involving an Amenity value that did not match its required format. The feed was rechecked and updated, and a cache-busting query parameter was used when necessary so that the latest feed version could be retrieved instead of an older cached response.

    This type of troubleshooting is an important part of production feed development.

    The process was not simply:

    Generate XML → Done

    Instead, it became:

    Generate → Validate → Submit → Review portal errors → Correct mapping → Re-test → Confirm


    PropertyHub: A More Complex Integration

    The PropertyHub integration introduced a substantially different requirement.

    The portal supplied a JSON feed schema and documentation, along with a spreadsheet containing project information.

    The feed needed to provide project information in addition to the normal property data.

    The challenge was that projects were not properties.

    The client’s WordPress website already contained a property management workflow, while the PropertyHub integration required project names and project IDs to be associated with properties for export.

    This created a data-mapping problem between:

    Property → Project Name → Project ID → PropertyHub Feed


    Building Project Mapping

    The project list was provided separately from the property data.

    The solution was to map the project information so that the feed could retrieve the appropriate project name and corresponding project ID when generating the PropertyHub JSON feed.

    The client eventually configured project information in the backend as a selectable value associated with properties.

    The feed could then use that information when constructing the outgoing PropertyHub data.

    The requirement was particularly important because PropertyHub expected both the project name and numerical project ID, while Proppit did not require the same project information.

    This meant the same WordPress property data had to support two different portal requirements without unnecessarily exposing project information elsewhere on the website.


    Avoiding Changes to the Front-End Property Structure

    One of the lessons from this stage was that supporting an external portal should not accidentally alter how the website works for visitors.

    An initial project-list mapping approach caused project records to appear in an inappropriate location on the website. The client reported that thousands of project records had appeared and had to be removed.

    The requirement was clarified:

    Projects were reference data for the feed and backend workflow, not additional front-end property listings.

    The project mapping was subsequently handled in a way that allowed the property information and project information to remain separate while still providing the required values to the outgoing feed.

    This became an important architectural consideration:

    External feed requirements should be integrated into WordPress without disrupting the site’s existing content model or front-end experience.


    Handling Project Names and IDs

    Another challenge was that some project names already contained numbers.

    For example, a project might contain a number as part of its actual name, while PropertyHub required a separate numerical project ID.

    This created ambiguity when attempting to derive the ID from the project-name field.

    The project therefore required a consistent naming and parsing strategy.

    The client and developer tested different formats and discussed using a delimiter such as:

    Project Name – 9999

    rather than:

    Project Name 9999

    The final approach focused on making the feed parser resilient to spaces and formatting variations rather than requiring a large manual change to the website’s existing data.

    This is a good example of why real estate integrations often require more than straightforward XML templating.


    Debugging Data That Looks Correct

    One of the most challenging stages occurred after the PropertyHub feed was technically working.

    Some properties containing project names and IDs were successfully accepted, while others were not.

    The client provided examples where the backend data appeared correct, but the corresponding information was not being accepted by the portal.

    At one point, only 1,064 properties had been delivered successfully, despite substantially more properties being available.

    The investigation therefore moved beyond XML/JSON syntax.

    The feed itself could be valid while individual property records still contained values that the destination system could not process.

    The debugging process involved examining:

    • Project names
    • Project IDs
    • Missing IDs
    • Formatting
    • Spaces
    • Line breaks
    • Hidden characters
    • Property-level data
    • Portal validation results

    This distinction is critical when developing automated feeds:

    Feed validity and data validity are two different things.


    Working With Portal Validation Reports

    The PropertyHub integration included validation reports supplied by the portal.

    These reports made it possible to identify which property records were failing and investigate the underlying values.

    For example, one reported issue involved properties whose project name existed but whose project ID was missing.

    The solution was to ensure that the required project ID information was available in the property’s backend data before it was exported.

    This created a repeatable troubleshooting cycle:

    1. Generate the feed.
    2. Submit it to the portal.
    3. Review rejected records.
    4. Identify the problematic WordPress data.
    5. Improve the mapping or parsing logic.
    6. Correct source data where necessary.
    7. Generate the feed again.
    8. Re-submit and verify.

    Keeping Multiple Portals in Sync

    The project eventually involved several different destination formats:

    Nestopa

    A custom XML structure for the portal’s property requirements.

    Proppit

    A separate XML structure with contact information and property filtering.

    PropertyHub

    A JSON-based feed requiring project names and project IDs.

    Each destination had different rules.

    The WordPress website remained the central source of property information, while the feed layer transformed that information for each portal.

    This provided a much more scalable model than manually preparing separate property files for every destination.


    Ongoing Maintenance

    The project also demonstrated that feed development does not necessarily end when the first feed is generated.

    The client later requested relatively small operational changes, such as changing the contact email address used in the Proppit feed.

    Other requests involved:

    • Changing domains
    • Creating feeds for new domains using the same property data
    • Adjusting sale/rental filters
    • Updating contact information
    • Investigating missing properties
    • Fixing portal validation errors
    • Updating project mappings
    • Rechecking feed output after website changes

    For example, when the property website moved to a new domain while using the same underlying property inventory, the feed needed to be adapted to the new domain rather than treated as an entirely unrelated property database.


    The Result

    The project evolved from a basic WordPress XML feed into a multi-portal property data integration system.

    The final workflow allowed the real estate website to act as the central source while generating portal-specific output according to each destination’s requirements.

    Key capabilities included:

    • WordPress property data extraction
    • Custom field mapping
    • XML feed generation
    • JSON feed generation
    • Sale/rental filtering
    • Minimum-price filtering
    • Latest-property selection
    • Contact-field mapping
    • Project-name mapping
    • Project-ID mapping
    • Portal-specific formatting
    • Validation-error troubleshooting
    • Property-level data debugging
    • Domain/feed updates
    • Ongoing feed maintenance

    Key Takeaway

    Real estate feed development is more than generating an XML or JSON document.

    The real challenge is creating a reliable bridge between a WordPress property database and the specific data model expected by each external portal.

    In this project, the feed layer had to deal with changing requirements, multiple destinations, custom fields, project relationships, filtering rules, validation errors, and inconsistent source data.

    The result was a practical, portal-ready integration that could transform the website’s property information into the formats required by different property platforms.

    WordPress remains the source of truth.
    The feed handles the transformation.
    Each portal receives the structure and data it expects.

    That is the core principle behind a reliable custom real estate feed.

  • Case Study 2: Real Estate Feed Development

    WordPress Custom Fields → XML Mapping → Portal-Ready Feed

    Real estate agencies often manage their property listings in WordPress, but their data needs to be distributed across multiple property portals, each with its own XML structure, field names, location formats, and validation requirements.

    In this project, the goal was to automate that process for two real estate websites and distribute their property portfolios to multiple international property platforms.

    The Challenge

    The client operated two real estate websites:

    • sothebysrealty.me
    • nekretnina.me

    They wanted to automatically export their property portfolio to platforms including:

    • Realting
    • Homes Overseas
    • Tranio
    • A Place in the Sun
    • Prian.ru
    • Realitica
    • Green Acres
    • JamesEdition

    Instead of manually entering or maintaining listings on each portal, the requirement was to create WordPress-based XML feeds that could automatically transform the existing property data into the format expected by each destination platform.

    The initial requirement was relatively straightforward: generate XML feeds from WordPress.

    However, the project quickly demonstrated that real estate feed integration is more than simply converting WordPress posts into XML.

    Different portals required different:

    • Field names
    • XML structures
    • Property types
    • Location values
    • Languages
    • Feature/amenity mappings
    • Publication rules
    • Data formats
    • Business rules

    The source data therefore needed to be mapped and normalized before it could become a reliable portal-ready feed.

    The Solution

    The solution was implemented as a collection of custom WordPress feed integrations.

    The basic architecture was:

    WordPress Property Data → Field Mapping → Data Normalization → XML Generation → Portal-Specific Feed

    Each portal received its own XML output while using the property’s existing information from the WordPress websites.

    For example, a WordPress property could contain information such as:

    • Property type
    • Price
    • Location
    • Bedrooms
    • Bathrooms
    • Features
    • Images
    • Description
    • Property ID
    • Publication information

    The feed logic then transformed these values into the XML structure required by the destination portal.

    1. WordPress Data Extraction

    The first step was extracting the existing property information from the two WordPress websites.

    Rather than requiring the client to maintain a separate database for every portal, the existing WordPress property data remained the primary source.

    This allowed the workflow to remain simple:

    Edit the property once in WordPress → Generate the required XML → Portal consumes the feed.

    The project eventually evolved into a broader multi-portal feed system rather than a single XML export.

    2. Portal-Specific XML Mapping

    Each portal had its own requirements.

    For example, the client supplied the Homes Overseas export specification, while Realting provided an XML sample/template for its import structure. The implementation therefore required studying the destination specifications before creating the mapping.

    The mapping process connected the WordPress property fields to the corresponding portal fields.

    A simplified example:

    WordPress DataPortal XML
    Property ID<property_id>
    Property TypePortal-specific property type
    PricePortal price field
    CityPortal location field
    BedroomsBedroom element
    FeaturesPortal feature elements
    ImagesPortal image elements
    DescriptionPortal description field

    The important point is that this was not a one-to-one XML conversion.

    The same WordPress value could need to be transformed differently depending on the destination portal.

    3. Location Normalization

    Location mapping became one of the important parts of the project.

    The source websites and destination portals did not always use identical city or location names.

    This required custom location mapping so that a WordPress location could be translated into a value recognized by the destination portal.

    The project included additional work specifically for mapping locations where the website’s city names did not match the Green Acres database.

    This illustrates an important lesson from real estate feed development:

    Valid XML does not necessarily mean valid portal data.

    A feed can be technically correct XML and still be rejected or incorrectly categorized by the receiving marketplace if its values do not match the portal’s expected taxonomy.

    4. Property Type Standardization

    Property types also required normalization.

    The source website could use one naming convention while a portal could expect a different set of property categories.

    The project included property-type mapping as part of the broader feed system, and a later website change to the property’s type name even caused multiple existing feeds to require correction.

    This highlighted the importance of making feed integrations resilient to changes in the source WordPress data structure.

    5. Multilingual Feed Support

    The project also required English and Russian feed variations for some portals.

    Separate feed endpoints were created for the different language requirements, with the additional work involving fetching translated data rather than simply duplicating the original XML.

    This meant the feed system had to consider:

    Source language → Translation → Portal-specific XML

    rather than simply:

    Source language → XML

    6. Duplicate Prevention

    Another requirement was preventing the same property from being unnecessarily copied to advertising platforms.

    A custom WordPress function was developed to provide an option on the property edit screen to control whether a property should be copied to another website.

    This introduced a simple but important business rule:

    Property enabled for distribution → Include in feed

    Property disabled for distribution → Exclude from feed

    That gave the client more control over which listings were syndicated.

    7. Feed Validation and Testing

    Generating XML was only one part of the work.

    The feeds also needed to be tested against the destination requirements to make sure:

    • Required fields were present
    • Values were correctly mapped
    • Locations were recognized
    • Property types were accepted
    • Images were included correctly
    • Duplicate listings were controlled
    • Portal-specific XML structures were followed

    The later multi-portal project explicitly included feed validation and testing as part of the implementation scope.

    The Project Expanded Over Time

    What began as a small requirement for two websites and two portals gradually became a much larger feed ecosystem.

    The initial implementation covered:

    2 WordPress websites → 2 destination portals

    It subsequently expanded to additional portals and integrations, including A Place in the Sun, Prian.ru, Realitica, Green Acres, and JamesEdition.
    The work also included merging feeds, additional location mappings, and handling portal-specific limitations.

    For example, during the Green Acres integration, some properties could not be added because the portal did not support the source property’s “price upon request” value.

    This is a good example of why portal integrations often require more than coding alone: some limitations originate from the destination platform itself.

    The Result

    The project evolved from a basic XML export into a reusable multi-portal real estate feed system.

    The resulting workflow allowed property information maintained in WordPress to be transformed into portal-specific XML feeds without manually recreating every listing on every platform.

    The overall process became:

    Manage Property in WordPress

    Apply Mapping & Business Rules

    Normalize Location / Property Type / Features

    Generate Portal-Specific XML

    Validate Feed

    Publish to Real Estate Portal

    This significantly reduced repetitive data entry and made it possible to distribute listings across multiple real estate marketplaces using automated feeds.

    Key Takeaways

    1. XML generation is only the beginning

    A technically valid XML document is not enough. The receiving portal must also understand the values and structure.

    2. Mapping is the core of real estate feed development

    Property types, locations, features, languages, and other fields often need normalization before they can be exported.

    3. Every portal is different

    A feed designed for one marketplace should not automatically be assumed to work for another.

    4. Source data changes need to be considered

    A change to a WordPress field name or property-type value can affect multiple downstream feeds.

    5. Business rules matter

    Options such as excluding a property, preventing duplicates, handling missing values, or dealing with unsupported pricing models can be just as important as the XML structure itself.

    The Architecture in One Diagram

    WordPress Websites

    sothebysrealty.me + nekretnina.me

    Property Data Extraction

    Field Mapping

    • Property type
    • Location
    • Price
    • Features
    • Images
    • Languages

    Data Normalization

    Portal-Specific XML Generator

    Validation & Testing

    Real Estate Portals

    • Realting
    • Homes Overseas
    • Tranio
    • A Place in the Sun
    • Prian.ru
    • Realitica
    • Green Acres
    • JamesEdition

    Final Outcome

    The project demonstrates how a WordPress website can become the central source of truth for a real estate company’s property portfolio while custom XML integrations handle the differences between external marketplaces.

    Instead of maintaining property data separately on every portal, the workflow becomes:

    Update once in WordPress. Transform automatically. Distribute everywhere.

    That is the real value of a custom real estate XML feed: not just generating XML, but building a reliable bridge between WordPress property data and the specific data requirements of each marketplace.

    Technologies: WordPress · PHP · Custom Plugins · XML · Data Mapping · Feed Validation · Real Estate Portal Integration

  • From WordPress Content to a Portal-Ready XML Feed

    Case Study: WordPress to Custom XML Feed

    The Problem

    The client had a WordPress website containing structured content that needed to be distributed to a third-party platform.

    The standard WordPress RSS feed did not contain all of the information required by the receiving platform. Important custom fields, images, URLs, categories, and other structured data needed to be mapped into a specific XML format.

    The client needed a feed that was:

    • Generated automatically from WordPress
    • Compatible with the receiving platform’s XML specification
    • Able to include custom WordPress fields
    • Properly formatted and encoded
    • Accessible through a dedicated XML URL
    • Reliable enough for regular automated consumption

    The Solution

    We developed a custom WordPress XML feed specifically around the client’s data structure and the requirements of the receiving platform.

    The implementation included:

    1. WordPress Data Mapping

    Relevant WordPress fields were mapped to the required XML elements, including standard post data and custom fields.

    2. Custom XML Structure

    Instead of relying on the default WordPress RSS format, a dedicated XML structure was generated according to the target platform’s requirements.

    3. Image Handling

    Featured images and other required image information were resolved and included in the appropriate XML elements.

    4. Data Formatting

    Dates, URLs, text fields, categories, and other values were formatted correctly for XML output.

    5. XML Validation

    The generated feed was checked for structural and formatting problems to ensure that it could be successfully parsed by the receiving system.

    6. Automatic Generation

    The feed remained connected to the WordPress database, so updates to the website could be reflected in the XML feed without manually creating or editing XML files.

    The Result

    The client received a dedicated, automatically generated XML feed that transformed their existing WordPress content into the format required by the external platform.

    The final solution provided:

    • ✅ Custom WordPress-to-XML data mapping
    • ✅ Support for custom fields
    • ✅ Image support
    • ✅ Structured XML output
    • ✅ Automated feed generation
    • ✅ XML validation
    • ✅ A dedicated feed endpoint

    Key Takeaway

    A standard WordPress RSS feed is not always enough when another platform requires a specific XML structure.

    A custom feed allows the existing WordPress website to become a reliable data source without requiring the client to manually maintain a separate XML file.

    Need a custom XML feed from WordPress?

    Send us your WordPress website, existing feed, or target XML specification and we’ll help determine the right feed structure.

    Before: WordPress posts + ACF/custom fields

    Feed Generator: Custom mapping + image resolver + XML builder

    After: Validated portal-ready XML feed