# Company Contact Scraper & AI Lead Enricher (`reverend_bluebell/company-contact-ai-enricher`) Actor Scrape emails, phone numbers, and social links from company websites, then enrich each lead with AI: industry, team size, ICP fit score, tech stack, and a personalized outreach opener. CRM-ready lead generation in one run. - **URL**: https://apify.com/reverend\_bluebell/company-contact-ai-enricher.md - **Developed by:** [Mozi Mohidien](https://apify.com/reverend_bluebell) (community) - **Categories:** Lead generation, AI, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 1,000 results 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 Contact Scraper & AI Lead Enricher Find emails, phone numbers, and social profiles on company websites, then enrich every lead with AI: industry, team size, ICP fit score, tech stack, and a ready-to-send outreach opener. One run, CRM-ready leads. ### What does Company Contact Scraper & AI Lead Enricher do? Paste a list of company website URLs. For each company it: 1. **Scrapes the website** — extracts email addresses, phone numbers, LinkedIn/Twitter/Facebook links, and key page text 2. **Enriches with Claude AI** — analyzes the content and returns structured sales intelligence 3. **Outputs a clean dataset** — one row per company, exportable to CSV, JSON, or Excel, ready for your CRM or outreach tool Use it as an email finder, a contact scraper, or a full lead enrichment pipeline for cold outreach. ### Why use this instead of a plain contact scraper? Most email scrapers hand you raw data. This Actor adds a qualification layer on top: every lead comes pre-scored against your ICP with a personalized opener, so your SDRs work a ranked list instead of a spreadsheet of noise. ### Output fields | Field | What it contains | |-------|-----------------| | `url` | Company website | | `emails` | Email addresses found on the site | | `phones` | Phone numbers found | | `socials` | LinkedIn, Twitter/X, Facebook links | | `enrichment.industry` | Detected industry (e.g. SaaS, E-commerce) | | `enrichment.teamSizeEstimate` | Estimated team size range | | `enrichment.icpFitScore` | ICP fit score 1–10 (10 = ideal B2B buyer) | | `enrichment.techStackHints` | Technology clues found on the site | | `enrichment.primaryProduct` | One sentence: what they sell | | `enrichment.outreachHook` | Personalized cold outreach opener | | `enrichment.decisionMakerTitle` | Likely job title to target | ### How to use it 1. Add company website URLs (one per line) 2. Paste your Anthropic API key — get one at [console.anthropic.com](https://console.anthropic.com). Claude Haiku is used, so enrichment costs fractions of a cent per company 3. Run. Download results as CSV/JSON or push them to your CRM via the Apify API ### Example input ```json { "companyUrls": [ "https://stripe.com", "https://notion.so", "https://linear.app" ], "anthropicApiKey": "sk-ant-...", "maxCompanies": 10 } ```` ### Example output (one company) ```json { "url": "https://stripe.com", "emails": [], "phones": [], "socials": { "linkedin": "https://linkedin.com/company/stripe", "twitter": "https://twitter.com/stripe" }, "enrichment": { "industry": "FinTech / Payments SaaS", "teamSizeEstimate": "1000+", "icpFitScore": 9, "techStackHints": ["React", "AWS", "Stripe API"], "primaryProduct": "Online payment infrastructure for internet businesses", "outreachHook": "Love what you're doing with global payment expansion — wanted to share how we've helped similar fintech platforms cut churn by 22%.", "decisionMakerTitle": "Head of Revenue Operations" } } ``` ### How much does it cost? Pay-per-result: you are charged only per company successfully enriched, plus your own (tiny) Anthropic API usage. No subscription. ### FAQ **Do I need my own API key?** Yes — an Anthropic API key for the AI enrichment step. The scraping itself runs on Apify. **What if a site blocks scrapers?** Add Apify Residential Proxy in the `proxyConfig` input. **Does it work behind login walls?** No — it reads public pages only. Enrichment quality depends on how much content the site exposes publicly. **Can I feed the results into my CRM?** Yes. Export CSV/Excel from the dataset, or pull JSON via the Apify API and pipe it into HubSpot, Pipedrive, Salesforce, or any outreach tool. ### Support Found a bug or want a field added? Open an issue on the Actor page and it will be addressed. # Actor input Schema ## `companyUrls` (type: `array`): Company website URLs to scrape and enrich — one per line (e.g. https://stripe.com). ## `anthropicApiKey` (type: `string`): Your Anthropic API key for the Claude AI enrichment step. Get one at console.anthropic.com — Claude Haiku is used, costing fractions of a cent per company. Stored securely, never logged. ## `maxCompanies` (type: `integer`): Maximum number of companies to process in this run (1-50). Default 10. ## `proxyConfig` (type: `object`): Optional Apify Proxy settings. Use Residential Proxy for sites that block datacenter scrapers. ## Actor input object example ```json { "companyUrls": [ "https://stripe.com", "https://notion.so" ], "anthropicApiKey": "sk-ant-...", "maxCompanies": 10 } ``` # 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 = { "companyUrls": [ "https://stripe.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("reverend_bluebell/company-contact-ai-enricher").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 = { "companyUrls": ["https://stripe.com"] } # Run the Actor and wait for it to finish run = client.actor("reverend_bluebell/company-contact-ai-enricher").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 '{ "companyUrls": [ "https://stripe.com" ] }' | apify call reverend_bluebell/company-contact-ai-enricher --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=reverend_bluebell/company-contact-ai-enricher", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Company Contact Scraper & AI Lead Enricher", "description": "Scrape emails, phone numbers, and social links from company websites, then enrich each lead with AI: industry, team size, ICP fit score, tech stack, and a personalized outreach opener. CRM-ready lead generation in one run.", "version": "0.1", "x-build-id": "5sLRXJDbSXqv5UFjG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/reverend_bluebell~company-contact-ai-enricher/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-reverend_bluebell-company-contact-ai-enricher", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/reverend_bluebell~company-contact-ai-enricher/runs": { "post": { "operationId": "runs-sync-reverend_bluebell-company-contact-ai-enricher", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/reverend_bluebell~company-contact-ai-enricher/run-sync": { "post": { "operationId": "run-sync-reverend_bluebell-company-contact-ai-enricher", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "companyUrls", "anthropicApiKey" ], "properties": { "companyUrls": { "title": "Company URLs", "type": "array", "description": "Company website URLs to scrape and enrich — one per line (e.g. https://stripe.com).", "items": { "type": "string" } }, "anthropicApiKey": { "title": "Anthropic API Key", "type": "string", "description": "Your Anthropic API key for the Claude AI enrichment step. Get one at console.anthropic.com — Claude Haiku is used, costing fractions of a cent per company. Stored securely, never logged." }, "maxCompanies": { "title": "Max Companies", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of companies to process in this run (1-50). Default 10.", "default": 10 }, "proxyConfig": { "title": "Proxy Configuration", "type": "object", "description": "Optional Apify Proxy settings. Use Residential Proxy for sites that block datacenter scrapers." } } }, "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 } } } } } } } } } } ```