> For the complete documentation index, see [llms.txt](https://docs.fact-finder.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fact-finder.com/integration/factfinder-search-integration/sample-code-and-plugins.md). # Sample code and plugins FactFinder provides additional resources to ease the integration process, including sample code for various languages and plugins for popular shop systems. These resources can serve as a starting point or even a complete solution for certain integration scenarios. #### Sample code resources To save development effort, sample code is available for different integration interfaces and programming languages. These examples can serve as a starting point for your integration project. They are available on request or through public repositories. A wide selection of sample code is also available on GitHub: . Share your planned programming language and integration method with your FactFinder contact. They can then point you to the right example or starter code. Using these examples as a base can speed up the integration process and help you follow established best practices. #### Plugins for shop systems FactFinder also offers ready-made plugins for some common webshop platforms. These plugins handle much of the integration logic out of the box and can greatly reduce the amount of custom development you need. Check with a FactFinder representative to see whether a plugin is available for your shop software. If one exists, you can install and configure it to enable Search quickly. This gives you a stable integration and builds on proven patterns for that platform. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.fact-finder.com/integration/factfinder-search-integration/sample-code-and-plugins.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.