# India Court Judgments Scraper - Supreme Court & High Courts API (`jungle_synthesizer/india-ecourts-judgments-scraper`) Actor Crawl Indian court judgments and orders from the Supreme Court, all 24 High Courts, Tribunals, and central laws. Filter by court, date range, judge, citation, or keyword. Optional full judgment text. Requires user-supplied Indian Kanoon API token (paid - apply at api.indiankanoon.org). - **URL**: https://apify.com/jungle\_synthesizer/india-ecourts-judgments-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Business, Other - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ### Need More Features? If you'd like to add new data fields to this scraper or need a custom scraper for another purpose, feel free to file an issue or get in touch! We are always open to customizing the scraper to suit your needs. ### Why Choose This Scraper? - **Efficient**: Handles large-scale scraping with robust session and concurrency management. - **Customizable**: Easily tailor input options for specific scraping requirements. - **Reliable**: Implements error-handling mechanisms to minimize interruptions. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `apiToken` (type: `string`): Your paid Indian Kanoon API token. Register at https://api.indiankanoon.org/signup/ (Rs. 500 free trial credit). The token is sent as 'Authorization: Token ' on every request. ## `query` (type: `string`): Free-text search over judgment content and metadata. Use quoted strings for exact phrases (e.g., "specific performance"). Supports Indian Kanoon query syntax — for example: 'author: Chandrachud', 'cites: 1234567'. Leave empty to browse by filters only. ## `court` (type: `string`): Restrict to a specific court. Maps to Indian Kanoon doctype filter. ## `author` (type: `string`): Filter by judgment-authoring judge name. Partial matches work (e.g., 'Chandrachud', 'Bhushan'). ## `citation` (type: `string`): Filter by citation string. Use quoted form for exact match (e.g., '"(2017) 10 SCC 1"' for Puttaswamy). ## `fromDate` (type: `string`): Only include judgments dated on or after this date. ISO format YYYY-MM-DD (will be converted to IK's DD-MM-YYYY internally). ## `toDate` (type: `string`): Only include judgments dated on or before this date. ISO format YYYY-MM-DD. ## `orderBy` (type: `string`): How to order search results. 'Relevance' is best for keyword queries; date orderings are best for browsing. ## `fetchFullText` (type: `boolean`): If enabled, fetches the full HTML body of each judgment via /doc/{id}/. WARNING: each doc fetch costs the API token holder an additional Rs. 0.20 on top of the Rs. 0.50 search call. Default: off (search results only). ## `maxItems` (type: `integer`): Maximum number of judgment records to return. Each Indian Kanoon search page returns 10 results (Rs. 0.50 per page billed to your token). Keep small for testing. ## `proxyConfiguration` (type: `object`): Proxy settings. The Indian Kanoon API does not require a proxy. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "query": "right to privacy", "court": "supremecourt", "orderBy": "relevance", "fetchFullText": false, "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } } ```` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "query": "right to privacy", "court": "supremecourt", "author": "", "citation": "", "fromDate": "", "toDate": "", "orderBy": "relevance", "fetchFullText": false, "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/india-ecourts-judgments-scraper").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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "query": "right to privacy", "court": "supremecourt", "author": "", "citation": "", "fromDate": "", "toDate": "", "orderBy": "relevance", "fetchFullText": False, "maxItems": 10, "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/india-ecourts-judgments-scraper").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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "query": "right to privacy", "court": "supremecourt", "author": "", "citation": "", "fromDate": "", "toDate": "", "orderBy": "relevance", "fetchFullText": false, "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } }' | apify call jungle_synthesizer/india-ecourts-judgments-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/india-ecourts-judgments-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "India Court Judgments Scraper - Supreme Court & High Courts API", "description": "Crawl Indian court judgments and orders from the Supreme Court, all 24 High Courts, Tribunals, and central laws. Filter by court, date range, judge, citation, or keyword. Optional full judgment text. Requires user-supplied Indian Kanoon API token (paid - apply at api.indiankanoon.org).", "version": "1.0", "x-build-id": "LaxhOGHnWA9MQCLf8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~india-ecourts-judgments-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-india-ecourts-judgments-scraper", "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/jungle_synthesizer~india-ecourts-judgments-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-india-ecourts-judgments-scraper", "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/jungle_synthesizer~india-ecourts-judgments-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-india-ecourts-judgments-scraper", "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", "required": [ "apiToken" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "apiToken": { "title": "Indian Kanoon API Token", "type": "string", "description": "Your paid Indian Kanoon API token. Register at https://api.indiankanoon.org/signup/ (Rs. 500 free trial credit). The token is sent as 'Authorization: Token ' on every request." }, "query": { "title": "Search Query", "type": "string", "description": "Free-text search over judgment content and metadata. Use quoted strings for exact phrases (e.g., \"specific performance\"). Supports Indian Kanoon query syntax — for example: 'author: Chandrachud', 'cites: 1234567'. Leave empty to browse by filters only." }, "court": { "title": "Court", "enum": [ "", "supremecourt", "delhi", "bombay", "madras", "calcutta", "kerala", "karnataka", "allahabad", "andhra", "chattisgarh", "gauhati", "gujarat", "himachal_pradesh", "jammu", "jharkhand", "madhyapradesh", "meghalaya", "manipur", "orissa", "patna", "punjab", "rajasthan", "sikkim", "telangana", "tripura", "uttaranchal", "tribunals", "central", "lawcommissionofindia", "constitution" ], "type": "string", "description": "Restrict to a specific court. Maps to Indian Kanoon doctype filter." }, "author": { "title": "Judge / Author", "type": "string", "description": "Filter by judgment-authoring judge name. Partial matches work (e.g., 'Chandrachud', 'Bhushan')." }, "citation": { "title": "Citation", "type": "string", "description": "Filter by citation string. Use quoted form for exact match (e.g., '\"(2017) 10 SCC 1\"' for Puttaswamy)." }, "fromDate": { "title": "From Date", "type": "string", "description": "Only include judgments dated on or after this date. ISO format YYYY-MM-DD (will be converted to IK's DD-MM-YYYY internally)." }, "toDate": { "title": "To Date", "type": "string", "description": "Only include judgments dated on or before this date. ISO format YYYY-MM-DD." }, "orderBy": { "title": "Sort Order", "enum": [ "relevance", "mostrecent", "leastrecent" ], "type": "string", "description": "How to order search results. 'Relevance' is best for keyword queries; date orderings are best for browsing." }, "fetchFullText": { "title": "Fetch Full Judgment Text", "type": "boolean", "description": "If enabled, fetches the full HTML body of each judgment via /doc/{id}/. WARNING: each doc fetch costs the API token holder an additional Rs. 0.20 on top of the Rs. 0.50 search call. Default: off (search results only).", "default": false }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum number of judgment records to return. Each Indian Kanoon search page returns 10 results (Rs. 0.50 per page billed to your token). Keep small for testing.", "default": 10 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. The Indian Kanoon API does not require a proxy." } } }, "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 } } } } } } } } } } ```