# Master Company Mapper - Global Identity, IDs & Group Structure (`event-data-api/etb2b-master-company-mapper-rsniraj`) Actor Resolve any company name/alias/domain to current official registered name + website + LinkedIn + CIN/LLPIN/FCRN/LEI + group siblings + employees + HQ. India + global. - **URL**: https://apify.com/event-data-api/etb2b-master-company-mapper-rsniraj.md - **Developed by:** [RS Niraj](https://apify.com/event-data-api) (community) - **Categories:** Business, Lead generation, AI - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## 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 ## Master Company Mapper — Global Identity, IDs & Group Structure Resolve any company name/alias into its **current official registered name + CIN/LLPIN/FCRN/LEI**, its **group siblings (with their CINs)**, **website, LinkedIn, employee count, headquarters**, country, and source — India + global. ### Input ```json { "companies": [ { "name": "Reliance Industries", "domain": "ril.com" }, "Infosys", "State Bank of India" ] } ```` - `name` (required), `domain` / `linkedin` / `email_domains` (optional hints — verified on the web, not trusted blindly) - `enrich` (bool): exact LinkedIn data via harvestapi (paid add-on) - `fast` (bool): faster/cheaper, lower accuracy ### Output (per company) official\_name · id · id\_type (CIN/LLPIN/FCRN/LEI/FOREIGN\_REG/NONE) · lei · country · website · linkedin · employees · hq\_city · hq\_country · siblings · confidence (VERIFIED/NAME-ONLY) · is\_real · source\_url · notes ### How it stays accurate (zero-wrong) Google reverse-validation of every CIN + GLEIF cross-check + 2-source gate. Unsure → blank/NAME-ONLY, never a wrong guess. Registered name is never left blank. # Actor input Schema ## `companies` (type: `array`): List of companies to resolve. Each item: {"name": required, "domain": optional, "linkedin": optional, "email\_domains": optional, "master\_id": optional}. Plain strings (just the name) also accepted. ## `pasteRows` (type: `string`): Just COPY rows from your sheet and paste here. Tab or comma separated. First line can be a header (name/company/alias, domain, linkedin, email). Or one company name per line. ## `sheetUrl` (type: `string`): Public Google-Sheet CSV link or any CSV URL — the whole sheet is read automatically. ## `gleif_verify` (type: `boolean`): DEFAULT (this OFF + Full OFF) = ⚡ FAST mode (cheapest, CIN digits approximate). Turn ON = 🟡 BALANCED (most CIN/LEI registry-verified, FREE). ## `deep_verify` (type: `boolean`): ON = 🔴 FULL mode (every CIN Google reverse-validated, EXACT digits; slowest+costliest). OFF = use Fast/Balanced above. ## `enrich` (type: `boolean`): Add exact LinkedIn URL + employee count + followers + HQ + industry + logo via harvestapi (extra cost). Off = website/linkedin/employees/HQ come free-but-approx from the resolver. ## `chunkSize` (type: `integer`): Companies per internal batch. ## `parallelChunks` (type: `integer`): How many 100-row chunks to process at once (more = faster). 3 recommended. ## Actor input object example ```json { "companies": [ { "name": "Tata Consultancy Services (TCS)", "domain": "tcs.com" }, { "name": "Reliance Industries", "domain": "ril.com" }, { "name": "State Bank of India", "domain": "sbi.co.in" } ], "gleif_verify": false, "deep_verify": false, "enrich": false, "chunkSize": 100, "parallelChunks": 3 } ``` # 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": "Tata Consultancy Services (TCS)", "domain": "tcs.com" }, { "name": "Reliance Industries", "domain": "ril.com" }, { "name": "State Bank of India", "domain": "sbi.co.in" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("event-data-api/etb2b-master-company-mapper-rsniraj").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": "Tata Consultancy Services (TCS)", "domain": "tcs.com", }, { "name": "Reliance Industries", "domain": "ril.com", }, { "name": "State Bank of India", "domain": "sbi.co.in", }, ] } # Run the Actor and wait for it to finish run = client.actor("event-data-api/etb2b-master-company-mapper-rsniraj").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": "Tata Consultancy Services (TCS)", "domain": "tcs.com" }, { "name": "Reliance Industries", "domain": "ril.com" }, { "name": "State Bank of India", "domain": "sbi.co.in" } ] }' | apify call event-data-api/etb2b-master-company-mapper-rsniraj --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=event-data-api/etb2b-master-company-mapper-rsniraj", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Master Company Mapper - Global Identity, IDs & Group Structure", "description": "Resolve any company name/alias/domain to current official registered name + website + LinkedIn + CIN/LLPIN/FCRN/LEI + group siblings + employees + HQ. India + global.", "version": "1.0", "x-build-id": "5FsvY0nxdrgrWZZ78" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/event-data-api~etb2b-master-company-mapper-rsniraj/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-event-data-api-etb2b-master-company-mapper-rsniraj", "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~etb2b-master-company-mapper-rsniraj/runs": { "post": { "operationId": "runs-sync-event-data-api-etb2b-master-company-mapper-rsniraj", "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~etb2b-master-company-mapper-rsniraj/run-sync": { "post": { "operationId": "run-sync-event-data-api-etb2b-master-company-mapper-rsniraj", "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", "type": "array", "description": "List of companies to resolve. Each item: {\"name\": required, \"domain\": optional, \"linkedin\": optional, \"email_domains\": optional, \"master_id\": optional}. Plain strings (just the name) also accepted." }, "pasteRows": { "title": "Paste rows (from Excel / Google Sheet)", "type": "string", "description": "Just COPY rows from your sheet and paste here. Tab or comma separated. First line can be a header (name/company/alias, domain, linkedin, email). Or one company name per line." }, "sheetUrl": { "title": "Sheet / CSV URL", "type": "string", "description": "Public Google-Sheet CSV link or any CSV URL — the whole sheet is read automatically." }, "gleif_verify": { "title": "🟡 BALANCED — verify CIN via GLEIF (free) [default OFF = ⚡ FAST]", "type": "boolean", "description": "DEFAULT (this OFF + Full OFF) = ⚡ FAST mode (cheapest, CIN digits approximate). Turn ON = 🟡 BALANCED (most CIN/LEI registry-verified, FREE).", "default": false }, "deep_verify": { "title": "🔴 FULL — deep-verify every CIN via Google (exact, slower)", "type": "boolean", "description": "ON = 🔴 FULL mode (every CIN Google reverse-validated, EXACT digits; slowest+costliest). OFF = use Fast/Balanced above.", "default": false }, "enrich": { "title": "🔗 LinkedIn enrichment (paid add-on)", "type": "boolean", "description": "Add exact LinkedIn URL + employee count + followers + HQ + industry + logo via harvestapi (extra cost). Off = website/linkedin/employees/HQ come free-but-approx from the resolver.", "default": false }, "chunkSize": { "title": "Chunk size", "minimum": 10, "maximum": 200, "type": "integer", "description": "Companies per internal batch.", "default": 100 }, "parallelChunks": { "title": "Parallel chunks (speed)", "minimum": 1, "maximum": 6, "type": "integer", "description": "How many 100-row chunks to process at once (more = faster). 3 recommended.", "default": 3 } } }, "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 } } } } } } } } } } ```