# Company Data Enrichment — Domain to Company Profile (`jimmywhyte/company-enrichment`) Actor Feed a list of domains and get a company profile for each: name, description, industry, logo, location, founded year, employee size, tech stack, emails, and socials — pulled from the company's own website. No LinkedIn, no cookies. Pipeline-ready for bulk CRM enrichment. - **URL**: https://apify.com/jimmywhyte/company-enrichment.md - **Developed by:** [Jim Whyte](https://apify.com/jimmywhyte) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Company Data Enrichment — Domain to Company Profile Turn a **list of domains into full company profiles** in one run. Feed it a spreadsheet of websites — a handful or thousands — and get back structured company data for each, pulled straight from the company's own website. **No LinkedIn, no cookies, no accounts** — so it doesn't break the way LinkedIn scrapers do, which makes it safe to wire into a pipeline. Built for **bulk CRM / lead enrichment**: you have a list of domains (from a form, a contact scraper, a Maps export, a signup list) and this fills in who the company actually is. #### What you get per domain | Field | Source | |---|---| | **Company name** | schema.org data, OpenGraph, page title | | **Description** | schema.org / meta description / about page | | **Industry / keywords** | meta keywords | | **Location / HQ** | schema.org address | | **Founded** | schema.org foundingDate | | **Employees** | schema.org numberOfEmployees | | **Tech stack** | HTML fingerprints (CMS, e-commerce, analytics, frameworks…) | | **Socials** | LinkedIn, Twitter/X, Facebook, Instagram, YouTube, TikTok, GitHub | | **Emails & phones** | mailto:/tel: + contact/about page (optional) | | **Logo** | schema.org logo / OpenGraph image | The richest data comes from sites that publish schema.org `Organization` markup (many do) — e.g. a single run can return a company's full HQ address, founding date, and logo automatically. #### Feed it your whole database of domains - Paste or upload a list right in the input form. - Pipe thousands in via the **API** from your CRM, database, or app. - **Chain it** after another Apify actor (a contact scraper, a Maps scraper) so leads are enriched hands-off. - Pull the input list from **Google Sheets** with Apify's integrations. ### Output One record per domain: ```json { "input": "monzo.com", "status": "ok", "name": "Monzo Bank", "description": "Making money work for everyone", "location": "Broadwalk House, 5 Appold St, London, EC2A 2AG", "founded": "2015-02-18", "employees": null, "tech": ["React", "Next.js"], "socials": { "linkedin": "https://www.linkedin.com/company/monzo-bank" }, "emails": [], "logo": "https://monzo.com/static/images/monzo-logo-stacked.svg" } ```` `status` is one of `ok`, `no_data_found`, `unreachable`, `invalid_input`, or `error`. ### Pairs with: Bulk Contact & Email Scraper Need the actual **contacts** at these companies too? Run the same domain list through [**Bulk Contact & Email Scraper**](https://apify.com/jimmywhyte/website-contact-finder) to pull emails, phone numbers, and social profiles from each site. Enrich the company, then reach the people — one lead-gen pipeline. ### Pricing Pay per domain enriched — no subscription, no minimum. If you set a maximum charge on a run, the actor stops cleanly once that budget is reached — it never runs up costs beyond your cap. # Actor input Schema ## `domains` (type: `array`): Company domains or URLs to enrich, e.g. 'stripe.com' or 'https://stripe.com'. ## `domainsText` (type: `string`): Alternative input: paste domains/URLs separated by newlines, commas, or spaces. Merged with the list above and de-duplicated. ## `includeContacts` (type: `boolean`): Also extract contact emails and phone numbers from the site (adds a page fetch). ## `includeTechStack` (type: `boolean`): Detect the website's technologies (CMS, e-commerce, analytics, frameworks) from its HTML. ## `maxConcurrency` (type: `integer`): How many domains to enrich in parallel. ## `requestTimeoutSecs` (type: `integer`): Per-page fetch timeout before giving up on a domain. ## `proxyConfiguration` (type: `object`): Proxy to route requests through. Recommended for larger runs. ## Actor input object example ```json { "domains": [ "stripe.com", "monzo.com" ], "includeContacts": true, "includeTechStack": true, "maxConcurrency": 10, "requestTimeoutSecs": 8, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `companies` (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 = { "domains": [ "stripe.com", "monzo.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("jimmywhyte/company-enrichment").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 = { "domains": [ "stripe.com", "monzo.com", ] } # Run the Actor and wait for it to finish run = client.actor("jimmywhyte/company-enrichment").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 '{ "domains": [ "stripe.com", "monzo.com" ] }' | apify call jimmywhyte/company-enrichment --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jimmywhyte/company-enrichment", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Company Data Enrichment — Domain to Company Profile", "description": "Feed a list of domains and get a company profile for each: name, description, industry, logo, location, founded year, employee size, tech stack, emails, and socials — pulled from the company's own website. No LinkedIn, no cookies. Pipeline-ready for bulk CRM enrichment.", "version": "0.1", "x-build-id": "WdPPfWzSkZJNIJx4L" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jimmywhyte~company-enrichment/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jimmywhyte-company-enrichment", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jimmywhyte~company-enrichment/runs": { "post": { "operationId": "runs-sync-jimmywhyte-company-enrichment", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jimmywhyte~company-enrichment/run-sync": { "post": { "operationId": "run-sync-jimmywhyte-company-enrichment", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "domains": { "title": "Domains or websites", "type": "array", "description": "Company domains or URLs to enrich, e.g. 'stripe.com' or 'https://stripe.com'.", "items": { "type": "string" } }, "domainsText": { "title": "Or paste domains as text", "type": "string", "description": "Alternative input: paste domains/URLs separated by newlines, commas, or spaces. Merged with the list above and de-duplicated." }, "includeContacts": { "title": "Include emails & phones", "type": "boolean", "description": "Also extract contact emails and phone numbers from the site (adds a page fetch).", "default": true }, "includeTechStack": { "title": "Detect tech stack", "type": "boolean", "description": "Detect the website's technologies (CMS, e-commerce, analytics, frameworks) from its HTML.", "default": true }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 30, "type": "integer", "description": "How many domains to enrich in parallel.", "default": 10 }, "requestTimeoutSecs": { "title": "Request timeout (seconds)", "minimum": 3, "maximum": 60, "type": "integer", "description": "Per-page fetch timeout before giving up on a domain.", "default": 8 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Proxy to route requests through. Recommended for larger runs.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```