Download free sample JSON (JavaScript Object Notation) files for API testing, application development, and data processing. JSON is the dominant data format for REST APIs, configuration files, and web application data exchange. Our collection includes simple objects, deeply nested structures, large arrays, API response simulations, GeoJSON, JSON Lines (JSONL), and deliberately malformed files. Every file is free — no sign-up required.
Why use our sample JSON files?
- Covers every JSON structure: objects, arrays, nested data, mixed types, and nulls
- Includes API response simulations (paginated, error responses, empty arrays)
- Sizes from 1 KB to 5 MB — test from simple parsing to large-file performance
- UTF-8 encoded with Unicode support
- 100% free to download — no account required
- Ideal for testing REST API clients, JSON parsers, config loaders, database seeding, and data transformation pipelines
All sample JSON files for download
| File Name | Size | Structure | Use Case | Download |
|---|---|---|---|---|
| Simple object | 1 KB | Flat key-value pairs | Basic parsing | Download |
| Array of objects | 3 KB | Array of user records | API response simulation | Download |
| Nested objects | 4 KB | Deep nesting (5+ levels) | Complex access patterns | Download |
| Complex structure | 10 KB | Mixed types, arrays, metadata | Full parser testing | Download |
| JSON with Unicode | 2 KB | Multi-language text | i18n testing | Download |
| API response (paginated) | 5.49 KB | Data + pagination metadata | REST API client testing | Download |
| API error response | 1.90 KB | Error object with codes | Error handling testing | Download |
| GeoJSON | 5.97 KB | Feature collection with geometries | Map/geospatial testing | Download |
| JSON Lines (JSONL) | 70 KB | One JSON object per line | Log parsing, streaming | Download |
| Large dataset | 3.71 MB | Array of 10,000+ records | Performance testing | Download |
| Malformed JSON | 1 KB | Intentional syntax errors | Error handling testing | Download |
Sample JSON file details
1. Simple object
Size: 1 KB
Structure: Flat key-value pairs
Description: A basic JSON object with string, number, boolean, and null values. Perfect for testing fundamental JSON parsing, deserialization, and data binding. This is the ideal smoke-test file for any JSON processing workflow.
2. Array of objects
Size: 3 KB
Structure: Array of user records
Description: A JSON array containing multiple user objects with fields like id, name, email, age, and active status. Simulates a typical REST API response for a user list endpoint. Use this to test array iteration, object mapping, and data table rendering.
3. Nested objects
Size: 4 KB
Structure: Deep nesting (5+ levels)
Description: A JSON file with deeply nested objects — objects within objects within arrays within objects. Use this to test deep property access (data.users[0].address.geo.lat), recursive traversal, flatten operations, and how your application handles complex data hierarchies.
4. Complex structure
Size: 10 KB
Structure: Mixed types, arrays, metadata
Description: A comprehensive JSON file containing every JSON data type: strings, numbers (integers and floats), booleans, nulls, arrays (including nested arrays), and objects. Also includes metadata fields, empty arrays, and empty objects. Use this as a complete parser test — any JSON parser that handles this file correctly handles the full JSON specification.
5. JSON with Unicode
Size: 2 KB
Structure: Multi-language text content
Description: A JSON file with strings containing Chinese, Japanese, Korean, Arabic, Hindi, Cyrillic, and Latin-extended characters, plus emoji and Unicode escape sequences (\u00e9, \ud83d\ude00). Use this to test UTF-8 handling, Unicode normalization, and how your parser handles both literal Unicode and escape sequences.
6. API response (paginated)
Size: 5.49 KB
Structure: Data array + pagination metadata
Description: A simulated paginated REST API response containing a data array, pagination fields (page, per_page, total, total_pages), and navigation links (next, prev, first, last). Use this to test API client pagination logic, data table rendering with page controls, and cursor-based or offset-based pagination handling.
Download API Response (Paginated)
7. API error response
Size: 1.90 KB
Structure: Error object with status code and message
Description: A simulated API error response with status code, error type, message, and detailed validation errors. Use this to test error handling in API clients, error message display, and how your application processes structured error responses.
8. GeoJSON
Size: 5.97 KB
Structure: Feature collection with Point, LineString, and Polygon geometries
Description: A GeoJSON file (RFC 7946) containing a FeatureCollection with multiple geometry types — Point, LineString, Polygon, and MultiPolygon. Each feature includes properties like name, category, and description. Use this to test map rendering, geospatial queries, and GeoJSON parsing in mapping libraries (Leaflet, Mapbox, Google Maps).
9. JSON Lines (JSONL)
Size: 70 KB
Structure: One JSON object per line
Description: A JSON Lines (JSONL/NDJSON) file — each line is a complete, valid JSON object. This format is used for log files, streaming data, and large datasets that need line-by-line processing without loading the entire file into memory. Use this to test streaming JSON parsers, log analysis tools, and data pipeline ingestion.
10. Large dataset
Size: 3.71 MB
Structure: Array of 10,000+ records
Description: A large JSON array with over 10,000 records for performance and stress testing. Use this to benchmark JSON parsing speed, test memory usage with large datasets, verify streaming/incremental parsing (e.g., Jackson streaming API, Python ijson), and test how your frontend handles rendering large data sets.
11. Malformed JSON
Size: 1 KB
Structure: Intentional syntax errors
Description: A deliberately malformed JSON file with trailing commas, single quotes instead of double quotes, unquoted keys, comments (not valid in JSON), and missing closing brackets. Use this to test parser error handling, error message quality, and whether your application fails gracefully or crashes on invalid JSON input.
How to use these sample JSON files
- Click the “Download” button next to the file you need.
- Save the JSON file to your device.
- Open in a code editor (VS Code, Sublime Text), JSON viewer, or your development environment.
- Use for testing JSON parsers, API clients, configuration loaders, database seeding, or data transformation pipelines.
Note: These sample JSON files are free to download and use for testing, development, and educational purposes. For commercial use, please provide proper attribution.
Download sample data in other formats
- Sample CSV files — Tabular data for spreadsheet and database import testing
- Sample XML files — Markup data for parsing, validation, and XSLT transformation
- Sample SQL files — Database files for SQL testing
- Sample XLSX files — Excel spreadsheets with data and formulas
FAQs about sample JSON files
What is the difference between JSON and XML?
JSON uses key-value pairs with curly braces and brackets ({"key": "value"}), while XML uses tags with opening and closing elements (<key>value</key>). JSON is more compact, easier to parse in JavaScript, and dominant in REST APIs. XML supports schemas, namespaces, and XSLT transformations, making it stronger for enterprise data interchange. JSON is the default for modern web development; XML remains important for SOAP services, configuration files, and document markup.
What is JSON Lines (JSONL)?
JSON Lines (also called JSONL or NDJSON — Newline Delimited JSON) is a format where each line is a complete, valid JSON object. Unlike standard JSON (which wraps everything in a single array or object), JSONL can be processed line-by-line without loading the entire file into memory. This makes it ideal for log files, streaming data, and large datasets. Our JSONL sample file is designed to test this streaming use case.
What is GeoJSON?
GeoJSON (RFC 7946) is a JSON-based format for encoding geographic data structures. It supports geometry types like Point, LineString, Polygon, MultiPoint, MultiLineString, MultiPolygon, and GeometryCollection, each with associated properties. GeoJSON is the standard format for web mapping libraries like Leaflet, Mapbox GL, and Google Maps JavaScript API. Our GeoJSON sample includes multiple geometry types for testing map rendering and geospatial queries.
Can I use these JSON files to test REST APIs?
Yes — the API response (paginated) and API error response files simulate real REST API outputs. Use them to test API client parsing, pagination handling, error state rendering, and data binding in frontend frameworks (React, Vue, Angular). You can also serve these files from a mock server (json-server, Mockoon, WireMock) to simulate API endpoints during development.
Are comments allowed in JSON?
No — the JSON specification (RFC 8259) does not allow comments. Some tools (like VS Code’s “JSON with Comments” mode and certain config file parsers) support comments as a non-standard extension, but standard JSON parsers will reject files containing comments. Our malformed JSON file includes comments specifically to test whether your parser correctly rejects them or handles them gracefully.
Are these JSON files valid?
All files except “Malformed JSON” are valid, well-formed JSON that passes validation against the JSON specification (RFC 8259). You can verify them using any JSON validator or linter. The malformed file is intentionally invalid for testing error handling.
Are these JSON files safe to download?
Yes, all sample JSON files on this page are clean, verified, and safe. They are plain text files containing only structured data — no scripts, no executable code, and no external references.