# Company Data Enrichment API (`swholmes/company-data-enrichment`) Actor Give it a domain or company name and get back a firmographic profile: description, emails, phones, address, social profiles, and detected tech signals - all crawled from the company's own website. - **URL**: https://apify.com/swholmes/company-data-enrichment.md - **Developed by:** [Scott Holmes](https://apify.com/swholmes) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 1 total users, 0 monthly users, 83.3% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.50 / 1,000 company enricheds 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 ## Company Data Enrichment API Give it a domain (or website URL) and get back a structured firmographic profile, crawled from the company's own site: name, description, all discoverable emails and phones, postal address, social profiles, and a detected tech stack. Feed it one company or thousands. Because it reads a company's *own* public website, it's low-maintenance (no adversarial anti-bot target) and clean to run at scale. ### Input | Field | Type | Notes | |---|---|---| | `companies` | array | Domains or URLs, e.g. `["acme.com", "https://globex.io"]`. | | `maxPagesPerSite` | integer | Homepage + contact/about pages to crawl (1–15). | | `proxyConfiguration` | object | Apify Proxy config. | ### Output ```json { "companyName": "Acme", "domain": "acme.com", "description": "Acme builds industrial widgets for...", "emails": ["sales@acme.com", "info@acme.com"], "phones": ["+1 416-555-0100"], "address": "12 King St W, Toronto, ON", "socials": ["https://linkedin.com/company/acme", "https://twitter.com/acme"], "tech": ["WordPress", "HubSpot", "Google Analytics", "Cloudflare"], "pagesCrawled": 4, "enrichedAt": "2026-07-11T14:20:00.000Z" } ```` ### Monetization (pay-per-event) — priced to the market Charges one `company-enriched` event per company that actually yielded data. Domains that 404, block the crawler, or publish no contact details are still returned (flagged `enriched: false`) but are **not charged** — you never pay for an empty shell. **Competitor check (July 2026):** the enrichment lane is priced low — one incumbent advertises **$1/1,000**, another literally brands itself "Company Data Enrichment for Pennies," and most domain→contact enrichers sit in a $1–5/1,000 band. Recommended: **$3–5 / 1,000 companies**. Your run cost is tiny (own-site crawl on datacenter proxies, ~$0.20/1k), so even at $3/1k the margin is healthy after Apify's 20%. Don't chase $8 — the field won't bear it without a clear edge. Earn the top of the band with the differentiators in "Next steps" (MX/SMTP verification, name→domain resolver, per-field confidence scores) and charge a premium `verified` tier for those, keeping the base event competitive. ### How it works For each domain it crawls the homepage plus likely contact/about pages, then merges everything into one profile: emails (mailto links preferred, then a filtered body scan that drops asset filenames), phones (tel: links first), socials, an address hint from schema.org / `
` markup, and tech fingerprints from HTML and response headers. ### Next steps / differentiation The enrichment lane is competitive, so lead with data quality: add MX/SMTP email verification, a company-name → domain resolver (so name-only inputs work), employee-count and industry inference, and a confidence score per field. Those upgrades justify a premium `verified` event tier. # Actor input Schema ## `companies` (type: `array`): List of domains or website URLs (e.g. "acme.com" or "https://acme.com"). Names without a domain are skipped unless you add a resolver. ## `maxPagesPerSite` (type: `integer`): How many pages to crawl per company (homepage + contact/about pages). ## `proxyConfiguration` (type: `object`): Proxy used when crawling company websites. Apify Proxy is recommended. ## Actor input object example ```json { "companies": [ "apify.com" ], "maxPagesPerSite": 4, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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": [ "apify.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("swholmes/company-data-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 = { "companies": ["apify.com"] } # Run the Actor and wait for it to finish run = client.actor("swholmes/company-data-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 '{ "companies": [ "apify.com" ] }' | apify call swholmes/company-data-enrichment --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=swholmes/company-data-enrichment", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Company Data Enrichment API", "description": "Give it a domain or company name and get back a firmographic profile: description, emails, phones, address, social profiles, and detected tech signals - all crawled from the company's own website.", "version": "0.1", "x-build-id": "ttdWbYV0A7jMUq9ZX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/swholmes~company-data-enrichment/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-swholmes-company-data-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/swholmes~company-data-enrichment/runs": { "post": { "operationId": "runs-sync-swholmes-company-data-enrichment", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/swholmes~company-data-enrichment/run-sync": { "post": { "operationId": "run-sync-swholmes-company-data-enrichment", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "companies" ], "properties": { "companies": { "title": "Companies to enrich", "type": "array", "description": "List of domains or website URLs (e.g. \"acme.com\" or \"https://acme.com\"). Names without a domain are skipped unless you add a resolver.", "items": { "type": "string" } }, "maxPagesPerSite": { "title": "Max pages per site", "minimum": 1, "maximum": 15, "type": "integer", "description": "How many pages to crawl per company (homepage + contact/about pages).", "default": 4 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Proxy used when crawling company websites. Apify Proxy is recommended.", "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 } } } } } } } } } } ```