# ETB2B-techTeam Company Master Finder (`event-data-api/company-master-finder`) Actor By ETB2B · RSNiraj · neeraj410645@gmail.com — Company name/alias/domain → official name, CIN/LLPIN/FCRN/LEI, immediate & ultimate parent (IDs), siblings, website, LinkedIn, followers, employees, HQ, industry, founded, funding. India + global. Zero-wrong: blank > wrong. - **URL**: https://apify.com/event-data-api/company-master-finder.md - **Developed by:** [RS Niraj](https://apify.com/event-data-api) (community) - **Categories:** Business, Lead generation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## ETB2B Company Master Finder — by RSNiraj #### 🏢 Built by **ETB2B** · Developed by **RSNiraj** #### 📧 Contact / inquiries / custom builds: **neeraj410645@gmail.com** --- **Turn any company name, alias or domain into a complete, verified master-data record — in bulk.** Not just for the company you enter, but for its **parent and ultimate parent** too. Give it `"Myntra"` or `myntra.com` and get back: the official registered name, **CIN / LLPIN / FCRN / LEI**, website, LinkedIn, followers, employees, HQ, industry, founded year, **funding**, and the full **group/sibling** companies — plus the same enriched data for its **immediate parent** *(Flipkart Internet Pvt Ltd)* and **ultimate parent** *(Walmart Inc)*. --- ### ✨ What you get (per company) | Group | Fields | |---|---| | **Identity** | official registered name · CIN / LLPIN / FCRN / LEI · country | | **Web & metrics** | website · LinkedIn · followers · employees · employee range · HQ · industry · founded | | **Funding** | rounds · last round type · amount · date · lead investors · Crunchbase | | **Immediate parent** | name · ID · website · LinkedIn · followers · employees · HQ | | **Ultimate parent** | name · ID · country · website · LinkedIn · followers · employees · HQ | | **Group siblings** | related group companies, each with its CIN | ### 🔧 How it works 1. **Identity resolution** — resolves the brand/domain to the exact official registered entity + statutory ID. 2. **Corporate-structure mapping** — traces immediate parent → ultimate parent and lists group siblings. Handles subsidiaries, JVs, foreign branches, PSUs and holding companies. 3. **Verification (zero-wrong)** — every ID is cross-checked; duplicate / conflicting / unverifiable IDs are dropped. A geography safeguard stops a global parent's figures being attached to its India arm. **Blank beats wrong.** 4. **Live enrichment** — attaches employees, followers, HQ, industry, funding for the company *and* each parent, with caching for repeated groups. ### 📥 Input (use any one) - **Companies (JSON list)** — names, domains, or `{name, domain}` objects - **Paste rows** — copy straight from Excel / Google Sheets (columns auto-detected) - **Google-Sheet / CSV URL** — the whole file is processed - **Gemini API key** *(recommended)* — paste your own key for lowest cost; if blank, a built-in fallback runs automatically Provide a **name or domain** (a domain is most accurate). From 1 to a few lakh companies. ### ⚡ Cost & speed (with your Gemini key) - **~$0.01–0.015 per company** · **~12–15 sec/company** (bulk) - ~90–95% field-fill · verified IDs · zero-wrong ### 📤 Output One clean row per company — download as **Excel / CSV / JSON** from the run's storage. --- *India-first, globally aware.* --- #### © ETB2B · Built & maintained by RSNiraj **For inquiries, custom data builds or bulk runs → 📧 neeraj410645@gmail.com** # Actor input Schema ## `companies` (type: `array`): List of companies. Each item is a plain name/alias string ("Infosys"), a domain ("infosys.com"), or an object {name, domain}. A domain or a name+domain gives the most accurate result. ## `pasteRows` (type: `string`): Paste rows copied from Excel or Google Sheets. Tab or comma separated. Columns auto-detected: name/company, domain/website. Header row optional. ## `sheetUrl` (type: `string`): A public Google-Sheet CSV-export link or any CSV URL — the whole file is resolved. ## `geminiApiKey` (type: `string`): Your own Google AI Studio (Gemini) key — keeps cost lowest. If left blank, a built-in resolver path is used automatically (billed to your Apify usage). Free key: aistudio.google.com/apikey ## Actor input object example ```json { "companies": [ { "name": "Myntra", "domain": "myntra.com" }, { "name": "Tata Consultancy Services", "domain": "tcs.com" } ] } ```` # 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 = { "companies": [ { "name": "Myntra", "domain": "myntra.com" }, { "name": "Tata Consultancy Services", "domain": "tcs.com" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("event-data-api/company-master-finder").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 = { "companies": [ { "name": "Myntra", "domain": "myntra.com", }, { "name": "Tata Consultancy Services", "domain": "tcs.com", }, ] } # Run the Actor and wait for it to finish run = client.actor("event-data-api/company-master-finder").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 '{ "companies": [ { "name": "Myntra", "domain": "myntra.com" }, { "name": "Tata Consultancy Services", "domain": "tcs.com" } ] }' | apify call event-data-api/company-master-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=event-data-api/company-master-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ETB2B-techTeam Company Master Finder", "description": "By ETB2B · RSNiraj · neeraj410645@gmail.com — Company name/alias/domain → official name, CIN/LLPIN/FCRN/LEI, immediate & ultimate parent (IDs), siblings, website, LinkedIn, followers, employees, HQ, industry, founded, funding. India + global. Zero-wrong: blank > wrong.", "version": "1.0", "x-build-id": "ufEglxRRa2ryT2UId" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/event-data-api~company-master-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-event-data-api-company-master-finder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/event-data-api~company-master-finder/runs": { "post": { "operationId": "runs-sync-event-data-api-company-master-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/event-data-api~company-master-finder/run-sync": { "post": { "operationId": "run-sync-event-data-api-company-master-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "companies": { "title": "Companies (JSON list)", "type": "array", "description": "List of companies. Each item is a plain name/alias string (\"Infosys\"), a domain (\"infosys.com\"), or an object {name, domain}. A domain or a name+domain gives the most accurate result." }, "pasteRows": { "title": "Paste rows (from Excel / Google Sheet)", "type": "string", "description": "Paste rows copied from Excel or Google Sheets. Tab or comma separated. Columns auto-detected: name/company, domain/website. Header row optional." }, "sheetUrl": { "title": "Google Sheet / CSV URL", "type": "string", "description": "A public Google-Sheet CSV-export link or any CSV URL — the whole file is resolved." }, "geminiApiKey": { "title": "Gemini API key (recommended)", "type": "string", "description": "Your own Google AI Studio (Gemini) key — keeps cost lowest. If left blank, a built-in resolver path is used automatically (billed to your Apify usage). Free key: aistudio.google.com/apikey" } } }, "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 } } } } } } } } } } ```