# Website Contact Enricher (`avinashchby/website-contact-enricher`) Actor Crawl any website and extract all contact information — emails, phones, social media links, addresses, and contact forms. Perfect for enriching existing lead lists or discovering decision-maker contacts from company websites. - **URL**: https://apify.com/avinashchby/website-contact-enricher.md - **Developed by:** [Avinash](https://apify.com/avinashchby) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 ## Website Contact Enricher Crawl any website and extract all contact information — emails, phones, social media links, addresses, and contact forms. Perfect for enriching existing lead lists or discovering decision-maker contacts from company websites. ### What it does 1. **Multi-page website crawl** — follows internal links up to configurable depth 2. **Extracts emails** — finds all email addresses across pages with domain filtering 3. **Extracts phones** — discovers phone numbers with normalization 4. **Finds social links** — LinkedIn, Twitter, Facebook, Instagram, YouTube 5. **Discovers addresses** — extracts physical addresses from contact pages 6. **Finds contact forms** — locates contact form URLs 7. **Scores enrichment** — 0-100 score based on contact type coverage ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `urls` | array | `[example.com]` | Website URLs to crawl | | `maxPagesPerSite` | integer | `10` | Max pages per website (1-100) | | `crawlDepth` | integer | `2` | Link depth to follow (0-5) | | `includeSocialLinks` | boolean | `true` | Extract social media links | | `outputFormat` | string | `json` | `json`, `csv`, `hubspot`, `apollo`, `salesforce` | ### Output Example ```json { "domain": "example.com", "url": "https://example.com/contact", "emails": ["sales@example.com", "support@example.com"], "phones": ["(555) 123-4567"], "socialLinks": { "linkedin": "https://linkedin.com/company/example", "twitter": "https://twitter.com/example" }, "addresses": ["123 Main St, New York, NY 10001"], "contactForms": ["/contact", "/get-in-touch"], "pagesScanned": 8, "enrichmentScore": 95, "scrapedAt": "2026-05-19T08:00:00.000Z" } ```` ### Enrichment Score Formula | Factor | Points | |--------|--------| | Emails | 10 each (max 30) | | Phones | 10 each (max 20) | | Social links | 5 each (max 20) | | Addresses | 5 each (max 15) | | Contact forms | 5 each (max 15) | ### Limits - **Same-origin only** — does not follow external links - **Max pages per site** — hard limit to prevent runaway crawls - **No form submission** — finds forms but does not submit them ### Pricing - **Free tier**: 5 websites per run - **Pay-per-result**: $0.005 per website processed - **Subscription**: $59/month for unlimited runs ### Support Found a bug or need a custom feature? Open an issue or email support. # Actor input Schema ## `urls` (type: `array`): Websites to crawl for contact information ## `maxPagesPerSite` (type: `integer`): Maximum pages to crawl per website ## `crawlDepth` (type: `integer`): Link depth to follow per site ## `includeSocialLinks` (type: `boolean`): Extract LinkedIn, Twitter, Facebook, Instagram links ## `outputFormat` (type: `string`): Output format for extracted contact data ## Actor input object example ```json { "urls": [ { "url": "https://example.com" } ], "maxPagesPerSite": 10, "crawlDepth": 2, "includeSocialLinks": true, "outputFormat": "json" } ``` # Actor output Schema ## `results` (type: `string`): All extracted leads. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ { "url": "https://example.com" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("avinashchby/website-contact-enricher").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "urls": [{ "url": "https://example.com" }] } # Run the Actor and wait for it to finish run = client.actor("avinashchby/website-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 '{ "urls": [ { "url": "https://example.com" } ] }' | apify call avinashchby/website-contact-enricher --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=avinashchby/website-contact-enricher", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Contact Enricher", "description": "Crawl any website and extract all contact information — emails, phones, social media links, addresses, and contact forms. Perfect for enriching existing lead lists or discovering decision-maker contacts from company websites.", "version": "1.0", "x-build-id": "SG97pZapLabzzNwac" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/avinashchby~website-contact-enricher/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-avinashchby-website-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/avinashchby~website-contact-enricher/runs": { "post": { "operationId": "runs-sync-avinashchby-website-contact-enricher", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/avinashchby~website-contact-enricher/run-sync": { "post": { "operationId": "run-sync-avinashchby-website-contact-enricher", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "urls": { "title": "Website URLs", "type": "array", "description": "Websites to crawl for contact information", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxPagesPerSite": { "title": "Max Pages Per Site", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum pages to crawl per website", "default": 10 }, "crawlDepth": { "title": "Crawl Depth", "minimum": 0, "maximum": 5, "type": "integer", "description": "Link depth to follow per site", "default": 2 }, "includeSocialLinks": { "title": "Include Social Links", "type": "boolean", "description": "Extract LinkedIn, Twitter, Facebook, Instagram links", "default": true }, "outputFormat": { "title": "Export Format", "enum": [ "json", "csv", "hubspot", "apollo", "salesforce" ], "type": "string", "description": "Output format for extracted contact data", "default": "json" } } }, "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 } } } } } } } } } } ```