JSON file search
Search JSON files online for API examples, OpenAPI definitions, package metadata, app manifests, configuration exports, translation files, and structured public datasets.
Find structured data files online
XML and JSON File Search
Search for XML, JSON and structured data files across the web with FindFiles.net.
Use this developer data search page when the useful result is a schema, API response, feed, manifest, configuration export, or machine-readable file rather than an article that only describes it. The goal is to move directly toward files that can be inspected, validated, parsed, imported, or compared in development and data workflows.
Developer and data search
Search for machine-readable files, not just pages about data
A normal web search can return documentation, API guides, blog posts, dashboards, release notes, and repository pages. Those results explain systems, but they often hide the structured file behind several clicks, generated download buttons, repository folders, or portal interfaces.
A JSON file search or XML file search starts closer to the artifact developers actually need. That artifact may be a feed, manifest, schema, sample response, sitemap, package metadata, configuration file, validation definition, or exported dataset. When the file is the interface, direct discovery saves time.
Structured formats
Find JSON and XML files with format-specific intent
JSON is common for APIs, manifests, configuration files, and data interchange. XML remains common in feeds, sitemaps, enterprise exports, schemas, standards, and older integration systems. Searching both formats helps when the source may publish the same data in more than one machine-readable form, or when you know the domain but not the exact format used by the publisher.
XML file search
Search XML files online for RSS feeds, sitemaps, schema documents, product feeds, enterprise records, metadata exports, and standards-based interchange files.
Related data formats
Expand to JSONL, NDJSON, YAML, CSV, TSV, XSD, RSS, Atom, or Parquet when the publisher uses a neighboring format for machine-readable data.
How structured file search works
Describe the data contract, then keep results in structured formats
- Start with contextUse the API name, product, domain, dataset, endpoint, standard, feed title, package, schema name, or field likely to appear near the file.
- Apply JSON and XML focusThe search form defaults to JSON and XML operators and sends the request to the text results category where structured text files are handled.
- Validate before reuseCheck source, schema, freshness, encoding, license, endpoint relationship, sample completeness, and whether the file is production data, example data, or generated output. Structured files can look authoritative even when they are stale, partial, synthetic, or tied to a specific software version.
Common developer searches
Use structured file search when the file is the interface
Frequently asked questions
XML and JSON file search questions
- What is JSON file search?
- JSON file search is a file-focused way to find public JSON documents, API examples, manifests, schemas, exports, and machine-readable data files online.
- Can I search XML files online too?
- Yes. This page is built for both JSON and XML file discovery, with examples and defaults that keep searches close to structured text formats.
- What should I check before using a structured data file?
- Check provenance, license, version, schema compatibility, encoding, completeness, and whether the file is safe to process in your tooling. Treat unknown files as untrusted input before automated parsing or import.
Search data files
Find structured data files directly
Use FindFiles.net when the JSON or XML file is the useful result. Start with the system, dataset, schema, or feed you need, keep the search focused on structured file formats, and review candidate files with developer-grade attention to source and compatibility. This page is meant for practical discovery: finding the file that can be opened in an editor, checked with a validator, loaded into a parser, or used as a reference for integration work.