# ๐Ÿ‡ฎ๐Ÿ‡ณ MCA India Company Registry โ€” CIN & Master Data (`nexgendata/mca-company-registry`) Actor MCA India company master data from data.gov.in โ€” CIN, company name, ROC, authorized & paid-up capital, status, NIC industry. 3.6M+ companies. - **URL**: https://apify.com/nexgendata/mca-company-registry.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $200.00 / 1,000 company records 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## ๐Ÿ‡ฎ๐Ÿ‡ณ MCA India Company Registry โ€” CIN Lookup & Company Master Data **Look up any Indian company by name, ROC office or state and get its official Ministry of Corporate Affairs (MCA) master-data record** โ€” CIN, incorporation date, authorized & paid-up capital, company class, listing status, registered office and NIC industrial classification. Sourced from India's **Open Government Data (OGD) platform** (data.gov.in), the same public "RoC-wise Company Master Data" resource that mirrors MCA filings โ€” ~3.67 million companies, refreshed at source. Built for B2B prospecting, KYC / due-diligence, supplier and counterparty verification, market intelligence, and AI agents that need structured Indian company records without scraping a portal. > Factual public records โ€” assembled for research and monitoring. Not affiliated with or endorsed by the MCA or data.gov.in. > **Tip โ€” supply your own free API key.** Pass `apiKey` (get one free in ~1 minute at [data.gov.in](https://data.gov.in): register โ†’ Profile โ†’ API key). Without it the actor falls back to a shared, heavily rate-limited public key, and a throttled run **fails loud with HTTP 429** rather than silently returning partial data. ### ๐Ÿ“Š What you get Clean JSON, one record per company โ€” **17 fields**: | Field | Description | |---|---| | `cin` | Corporate Identification Number (unique 21-char MCA id) | | `company_name` | Registered company name | | `roc_code` | Registrar of Companies office (e.g. `ROC Mumbai`) | | `category` | Company category (e.g. Company limited by shares) | | `subcategory` | Company sub-category (e.g. Non-government company) | | `company_class` | Public / Private | | `authorized_capital` | Authorized share capital (INR) | | `paidup_capital` | Paid-up share capital (INR) | | `registration_date` | Date of incorporation | | `address` | Registered office address | | `listing_status` | Listed / Unlisted | | `company_status` | Active / Amalgamated / Struck Off / Under liquidation โ€ฆ | | `state_code` | Registered state code | | `indian_or_foreign` | Indian or foreign company flag | | `nic_code` | NIC economic-activity code | | `industrial_classification` | MCA industrial classification | | `scraped_at` | UTC timestamp of retrieval | ### ๐Ÿ’ต Pricing Pay-per-result, no subscription: | Event | Price | |---|---| | Actor start | **$0.01** | | **Company record** | **$0.20 each** | | Watch-check (per scheduled watch run) | **$0.05** | **Worked example:** a 50-company pull = 1 start ($0.01) + 50 records ร— $0.20 = **$10.01**. A daily watch run that finds 3 newly-registered companies in your slice = $0.05 watch-check + 3 ร— $0.20 = **$0.65**. A blocked/throttled source **fails loud and charges nothing** โ€” you never pay for an empty "success". ### ๐Ÿงพ Sample output ```json { "cin": "L99999MH1967PLC013726", "company_name": "PROCTER & GAMBLE HEALTH LIMITED", "roc_code": "ROC Mumbai", "category": "Company limited by Shares", "subcategory": "Non-govt company", "company_class": "Public", "authorized_capital": "180000000.00", "paidup_capital": "51660120.00", "registration_date": "1967-01-01", "address": "P & G PLAZA, CARDINAL GRACIAS ROAD, CHAKALA, ANDHERI EAST, MUMBAI, Maharashtra", "listing_status": "Listed", "company_status": "Active", "state_code": "MH", "indian_or_foreign": "Indian", "nic_code": "21002", "industrial_classification": "Manufacture of pharmaceuticals", "scraped_at": "2026-07-17T00:00:00Z" } ```` ### โฐ Watch mode โ€” new-company alerts Turn on **`watchMode`** and put the actor on a schedule. The first run seeds a baseline and emits nothing; every later run emits **only companies that are new in your filtered slice** since the last run (keyed on **CIN**). Perfect for a standing "new company registrations in Karnataka" or "new companies matching my supplier name pattern" feed into Slack, a sheet, or an agent. ```json { "state": "KARNATAKA", "companyName": "LOGISTICS", "watchMode": true, "watchLabel": "ka-logistics" } ``` ### ๐Ÿค– Use with AI agents Returns clean JSON, so an agent can call it directly. Example task: *"Look up the MCA record for every supplier on this list and flag any whose company\_status is not Active."* Works with MCP tool-calling and agentic (x402) payment flows โ€” agents can pay in USDC, no account setup. #### API ```bash curl -X POST "https://api.apify.com/v2/acts/nexgendata~mca-company-registry/runs?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"companyName":"RELIANCE","maxResults":25}' ``` #### CLI ```bash apify call nexgendata/mca-company-registry --input '{"rocCode":"ROC Mumbai","maxResults":100}' ``` ### ๐Ÿ”— Related NexGenData actors - **[ogd-india-companies-registry](https://apify.com/nexgendata/ogd-india-companies-registry)** โ€” the original India MCA lookup this actor is built from (snake\_case input convention). **The India Six โ€” public data across India's regulators:** - **[nse-bse-announcements](https://apify.com/nexgendata/nse-bse-announcements)** โ€” live NSE/BSE corporate announcements & filings. - **[india-startup-funding-tracker](https://apify.com/nexgendata/india-startup-funding-tracker)** โ€” India startup funding rounds. - **[india-trademark-search](https://apify.com/nexgendata/india-trademark-search)** โ€” Indian trademark records. - **[gem-tenders-india](https://apify.com/nexgendata/gem-tenders-india)** โ€” Government e-Marketplace (GeM) tenders. - **[india-gst-verification](https://apify.com/nexgendata/india-gst-verification)** โ€” GSTIN validation & taxpayer details. **Company records across jurisdictions:** [Delaware](https://apify.com/nexgendata/delaware-corporations-search-scraper) ยท [US State Filings](https://apify.com/nexgendata/business-registration-lookup) ยท [GLEIF LEI](https://apify.com/nexgendata/gleif-lei-entity-resolution) ยท [UK PSC](https://apify.com/nexgendata/uk-psc-beneficial-ownership) ยท [HK Registry](https://apify.com/nexgendata/hk-companies-registry) ยท [Taiwan MOEA](https://apify.com/nexgendata/taiwan-moea-company-registry) ### โ“ FAQ **Where does the data come from?** India's Open Government Data platform (data.gov.in), resource "RoC-wise Company Master Data" โ€” a public mirror of MCA company master data covering ~3.67M companies. **How fresh is it?** As fresh as the OGD resource, which is refreshed periodically at source (last dataset update 2026-06-11). `scraped_at` records your retrieval time. **Do I need an API key?** No, but it's strongly recommended. Without one you share a heavily rate-limited public key; supply your own free `apiKey` from data.gov.in for a private quota and no 429 failures. **Does a blocked source bill me?** No. If OGD is unreachable or the shared key is throttled past its retries, the run fails loud and charges nothing โ€” you never pay for an empty "success". **How do I search?** Filter by `companyName` (substring), `rocCode` (registrar office), and/or `state` (matched against the registered address). Leave all blank to page the full resource. **Is this legal?** Yes โ€” this is factual public-record data published by the Government of India under its open data licence. Provided as-is for research, monitoring and due-diligence. *** *Public official company records, assembled for research and monitoring. Not affiliated with or endorsed by the Ministry of Corporate Affairs or data.gov.in.* # Actor input Schema ## `companyName` (type: `string`): Case-insensitive substring matched against the registered company name (e.g. 'RELIANCE', 'INFRAPROP'). Leave blank to page the full master-data resource. ## `rocCode` (type: `string`): Registrar of Companies office (e.g. 'ROC Delhi', 'ROC Mumbai', 'ROC Bangalore'). ## `state` (type: `string`): Case-insensitive substring matched CLIENT-SIDE against the registered office address (e.g. 'Maharashtra', 'Karnataka', 'Delhi'). ## `maxResults` (type: `integer`): Maximum company records to return (1-500). ## `apiKey` (type: `string`): Your own free data.gov.in API key. **Strongly recommended.** Leave blank and the actor uses a shared public key that is heavily rate-limited โ€” when it is throttled your run fails loud with HTTP 429 rather than returning partial data. Supplying your own key gives you a private quota and avoids those failures. Get one free in ~1 minute at https://data.gov.in (register โ†’ Profile โ†’ API key). Also accepted as `api_key`. ## `watchMode` (type: `boolean`): When on, the first run seeds a baseline and emits nothing; later runs emit only companies that are NEW in your filtered slice since the last run (keyed on CIN). Ideal on a schedule. ## `watchLabel` (type: `string`): Names the watch baseline so multiple saved tasks keep independent state. ## `proxyConfiguration` (type: `object`): Apify proxy (optional). OGD is generally open, so proxy is off by default. ## Actor input object example ```json { "maxResults": 25, "watchMode": false, "watchLabel": "default", "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "companyName": "", "maxResults": 25, "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/mca-company-registry").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "companyName": "", "maxResults": 25, "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/mca-company-registry").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "companyName": "", "maxResults": 25, "proxyConfiguration": { "useApifyProxy": false } }' | apify call nexgendata/mca-company-registry --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/mca-company-registry", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "๐Ÿ‡ฎ๐Ÿ‡ณ MCA India Company Registry โ€” CIN & Master Data", "description": "MCA India company master data from data.gov.in โ€” CIN, company name, ROC, authorized & paid-up capital, status, NIC industry. 3.6M+ companies.", "version": "0.0", "x-build-id": "hH7EzxnShg9GDqxaj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~mca-company-registry/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-mca-company-registry", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~mca-company-registry/runs": { "post": { "operationId": "runs-sync-nexgendata-mca-company-registry", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~mca-company-registry/run-sync": { "post": { "operationId": "run-sync-nexgendata-mca-company-registry", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "companyName": { "title": "Company name filter (optional)", "type": "string", "description": "Case-insensitive substring matched against the registered company name (e.g. 'RELIANCE', 'INFRAPROP'). Leave blank to page the full master-data resource." }, "rocCode": { "title": "ROC office filter (optional)", "type": "string", "description": "Registrar of Companies office (e.g. 'ROC Delhi', 'ROC Mumbai', 'ROC Bangalore')." }, "state": { "title": "State filter (optional)", "type": "string", "description": "Case-insensitive substring matched CLIENT-SIDE against the registered office address (e.g. 'Maharashtra', 'Karnataka', 'Delhi')." }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum company records to return (1-500).", "default": 50 }, "apiKey": { "title": "OGD India API key (optional โ€” recommended)", "type": "string", "description": "Your own free data.gov.in API key. **Strongly recommended.** Leave blank and the actor uses a shared public key that is heavily rate-limited โ€” when it is throttled your run fails loud with HTTP 429 rather than returning partial data. Supplying your own key gives you a private quota and avoids those failures. Get one free in ~1 minute at https://data.gov.in (register โ†’ Profile โ†’ API key). Also accepted as `api_key`." }, "watchMode": { "title": "Watch mode (new companies only)", "type": "boolean", "description": "When on, the first run seeds a baseline and emits nothing; later runs emit only companies that are NEW in your filtered slice since the last run (keyed on CIN). Ideal on a schedule.", "default": false }, "watchLabel": { "title": "Watch label", "type": "string", "description": "Names the watch baseline so multiple saved tasks keep independent state.", "default": "default" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy (optional). OGD is generally open, so proxy is off by default.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```