# JSON Schema Generator — Infer Draft-07 Schema from Any JSON (`eliai/json-schema-inferer`) Actor Infer a JSON Schema from a sample via API. Input: a JSON URL or pasted JSON. Output: a draft-07 JSON Schema with types, required fields, nested object and array item schemas, string formats, and detected enums. Cheap flat pay-per-file pricing per inference. - **URL**: https://apify.com/eliai/json-schema-inferer.md - **Developed by:** [Anthony Snider](https://apify.com/eliai) (community) - **Categories:** Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $20.00 / 1,000 file processeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## JSON Schema Inferer Turn any JSON sample into a clean, draft-07 JSON Schema in one call. Live on the Apify Store — run it instantly or call it as an agent tool via Apify MCP. ### What you get - **Types** for every value (string, integer, number, boolean, object, array, null), with unions when samples disagree. - **Required fields** — object keys are required; for arrays of objects, only keys present in *every* item are required. - **Nested objects & arrays** inferred recursively; array item schemas are merged across all elements. - **Format detection** on strings: `date-time`, `date`, `email`, `uri`, `uuid`. - **Small enums** detected automatically for repeated scalar values in arrays. - **Stats** per sample: property count, required fields, formats, and enums detected. Feed it a **URL** that returns JSON, or **paste raw JSON** directly. Bulk-friendly — pass arrays of URLs or JSON strings. ### Input ```json { "url": "https://jsonplaceholder.typicode.com/users/1", "detectFormats": true, "detectRequired": true } ```` Or paste a sample instead of a URL: ```json { "json": "{ \"id\": 1, \"email\": \"ada@example.com\", \"createdAt\": \"2024-01-15T09:30:00Z\", \"tags\": [\"a\", \"b\"] }" } ``` ### Output ```json { "source": { "type": "json" }, "rootType": "object", "schema": { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "id": { "type": "integer" }, "email": { "type": "string", "format": "email" }, "createdAt": { "type": "string", "format": "date-time" }, "tags": { "type": "array", "items": { "type": "string" } } }, "required": ["id", "email", "createdAt", "tags"] }, "stats": { "properties": 4, "requiredFields": 4, "formatsDetected": 2, "enumsDetected": 0 } } ``` Each inferred schema is one `file-processed` charge. # Actor input Schema ## `url` (type: `string`): A URL that returns a JSON document. The schema is inferred from the response body. ## `json` (type: `string`): Paste a JSON value (object, array, or scalar) to infer a schema from. Used when no URL is given. ## `detectFormats` (type: `boolean`): Detect date-time, date, email, uri, and uuid formats on string values. ## `detectRequired` (type: `boolean`): Mark object keys as required. For arrays of objects, only keys present in every item are required. ## Actor input object example ```json { "url": "https://api.example.com/data.json", "json": "{\n \"id\": 1,\n \"email\": \"ada@example.com\",\n \"createdAt\": \"2024-01-15T09:30:00Z\",\n \"role\": \"admin\",\n \"tags\": [\"alpha\", \"beta\"]\n}", "detectFormats": true, "detectRequired": true } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "url": "https://jsonplaceholder.typicode.com/users/1", "json": `{ "id": 1, "email": "ada@example.com", "createdAt": "2024-01-15T09:30:00Z", "role": "admin", "tags": ["alpha", "beta"] }` }; // Run the Actor and wait for it to finish const run = await client.actor("eliai/json-schema-inferer").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "url": "https://jsonplaceholder.typicode.com/users/1", "json": """{ \"id\": 1, \"email\": \"ada@example.com\", \"createdAt\": \"2024-01-15T09:30:00Z\", \"role\": \"admin\", \"tags\": [\"alpha\", \"beta\"] }""", } # Run the Actor and wait for it to finish run = client.actor("eliai/json-schema-inferer").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "url": "https://jsonplaceholder.typicode.com/users/1", "json": "{\\n \\"id\\": 1,\\n \\"email\\": \\"ada@example.com\\",\\n \\"createdAt\\": \\"2024-01-15T09:30:00Z\\",\\n \\"role\\": \\"admin\\",\\n \\"tags\\": [\\"alpha\\", \\"beta\\"]\\n}" }' | apify call eliai/json-schema-inferer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=eliai/json-schema-inferer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "JSON Schema Generator — Infer Draft-07 Schema from Any JSON", "description": "Infer a JSON Schema from a sample via API. Input: a JSON URL or pasted JSON. Output: a draft-07 JSON Schema with types, required fields, nested object and array item schemas, string formats, and detected enums. Cheap flat pay-per-file pricing per inference.", "version": "0.1", "x-build-id": "9d2fosCWKpVsamcKD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/eliai~json-schema-inferer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-eliai-json-schema-inferer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/eliai~json-schema-inferer/runs": { "post": { "operationId": "runs-sync-eliai-json-schema-inferer", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/eliai~json-schema-inferer/run-sync": { "post": { "operationId": "run-sync-eliai-json-schema-inferer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "url": { "title": "JSON URL", "type": "string", "description": "A URL that returns a JSON document. The schema is inferred from the response body." }, "json": { "title": "Raw JSON sample", "type": "string", "description": "Paste a JSON value (object, array, or scalar) to infer a schema from. Used when no URL is given." }, "detectFormats": { "title": "Detect string formats", "type": "boolean", "description": "Detect date-time, date, email, uri, and uuid formats on string values.", "default": true }, "detectRequired": { "title": "Detect required fields", "type": "boolean", "description": "Mark object keys as required. For arrays of objects, only keys present in every item are required.", "default": true } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```