# Contact Enricher (`moorish-dev/contact-enricher`) Actor Extracts clean Markdown from company 'About' and 'Contact' pages specifically tailored for LLM ingestion. - **URL**: https://apify.com/moorish-dev/contact-enricher.md - **Developed by:** [Ziad Tarik](https://apify.com/moorish-dev) (community) - **Categories:** SEO tools, Automation, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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 ## 🔍 Contact Enricher The **Contact Enricher** is a specialized web scraper built for the Automated Sales OS pipeline. It takes raw lead URLs (e.g., from Google Maps) and intelligently hunts for their "About", "Contact", and "Team" pages. Instead of extracting raw HTML (which is expensive and difficult for AI to parse) or just looking for `@` symbols, this actor extracts the exact pages as **Clean, Semantic Markdown**. #### How it fits into the Pipeline: 1. **Trigger:** `Google Maps Scraper` outputs a JSON list of local businesses with their domains. 2. **Step 1:** The `Contact_Enricher` (this Actor) visits the domains, finds the contact/team pages, and extracts them to Markdown. 3. **Step 2:** The Markdown is fed directly into an OpenAI module in your automation platform (n8n, Make.com, or Relay.app). 4. **Step 3:** OpenAI easily and cheaply parses the clean text to find the **Founder's Name**, **Primary Email**, and **Phone Number**. 5. **Output:** The enriched data is pushed into your Monday.com CRM. #### Features * **Smart URL Targeting:** Only queues pages containing `/about`, `/contact`, `/team`, `get-in-touch`, etc., ensuring we don't waste time crawling irrelevant pages like `/shop` or `/blog`. * **Playwright + Crawl4AI:** Renders JavaScript natively so we don't miss data loaded dynamically. * **Cost Effective:** Markdown uses significantly fewer tokens than HTML, keeping OpenAI API costs extremely low. #### Input Configuration - `startUrls`: List of domains to enrich. - `maxPages`: Recommended `5` (enough to catch the homepage, about, and contact pages). - `crawlDepth`: Recommended `1` or `2`. # Actor input Schema ## `startUrls` (type: `array`): One or more URLs to start crawling from. The crawler stays within each URL's domain. ## `maxPages` (type: `integer`): Maximum number of pages to crawl per start URL ## `crawlDepth` (type: `integer`): How many link hops from the start URL. 1 = start URL only. 2 = start + linked pages. ## `stayOnDomain` (type: `boolean`): Do not follow links to external domains ## `includeChunks` (type: `boolean`): Split Markdown into chunks of ~500 tokens for direct vector store upsert ## `chunkSize` (type: `integer`): Approximate token count per chunk (1 token ≈ 4 characters) ## `excludeUrlPatterns` (type: `array`): Regex patterns. URLs matching any pattern are skipped. ## `contentSelectors` (type: `array`): CSS selectors for main content area. Helps strip navbars/footers. Leave empty for automatic detection. ## `outputLanguageFilter` (type: `array`): Only keep pages in these languages (e.g., en, fr, es). Empty = keep all. ## Actor input object example ```json { "startUrls": [ { "url": "https://crawlee.dev" } ], "maxPages": 5, "crawlDepth": 1, "stayOnDomain": true, "includeChunks": true, "chunkSize": 500, "excludeUrlPatterns": [ "/tag/", "/author/", "\\?", "#" ], "contentSelectors": [ "article", "main", "div.content", ".post-body" ], "outputLanguageFilter": [] } ```` # 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 = { "startUrls": [ { "url": "https://crawlee.dev" } ], "excludeUrlPatterns": [ "/tag/", "/author/", "\\?" ] }; // Run the Actor and wait for it to finish const run = await client.actor("moorish-dev/contact-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 = { "startUrls": [{ "url": "https://crawlee.dev" }], "excludeUrlPatterns": [ "/tag/", "/author/", "\\?", ], } # Run the Actor and wait for it to finish run = client.actor("moorish-dev/contact-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 '{ "startUrls": [ { "url": "https://crawlee.dev" } ], "excludeUrlPatterns": [ "/tag/", "/author/", "\\\\?" ] }' | apify call moorish-dev/contact-enricher --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moorish-dev/contact-enricher", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Contact Enricher", "description": "Extracts clean Markdown from company 'About' and 'Contact' pages specifically tailored for LLM ingestion.", "version": "1.0", "x-build-id": "HqgkgkppLMGSkds7R" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moorish-dev~contact-enricher/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moorish-dev-contact-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moorish-dev~contact-enricher/runs": { "post": { "operationId": "runs-sync-moorish-dev-contact-enricher", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moorish-dev~contact-enricher/run-sync": { "post": { "operationId": "run-sync-moorish-dev-contact-enricher", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "One or more URLs to start crawling from. The crawler stays within each URL's domain.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxPages": { "title": "Max pages to crawl", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of pages to crawl per start URL", "default": 5 }, "crawlDepth": { "title": "Crawl depth", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many link hops from the start URL. 1 = start URL only. 2 = start + linked pages.", "default": 1 }, "stayOnDomain": { "title": "Stay on same domain", "type": "boolean", "description": "Do not follow links to external domains", "default": true }, "includeChunks": { "title": "Include LLM chunks", "type": "boolean", "description": "Split Markdown into chunks of ~500 tokens for direct vector store upsert", "default": true }, "chunkSize": { "title": "Chunk size (tokens)", "minimum": 100, "maximum": 2000, "type": "integer", "description": "Approximate token count per chunk (1 token ≈ 4 characters)", "default": 500 }, "excludeUrlPatterns": { "title": "URL patterns to exclude", "type": "array", "description": "Regex patterns. URLs matching any pattern are skipped.", "items": { "type": "string" } }, "contentSelectors": { "title": "Main content CSS selectors (optional)", "type": "array", "description": "CSS selectors for main content area. Helps strip navbars/footers. Leave empty for automatic detection.", "items": { "type": "string" } }, "outputLanguageFilter": { "title": "Filter by language", "type": "array", "description": "Only keep pages in these languages (e.g., en, fr, es). Empty = keep all.", "default": [], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```