# Website Contact & Outreach Readiness Finder (`animizio/website-contact-outreach-readiness`) Actor Find public contact details on company websites and score each site for outreach readiness. - **URL**: https://apify.com/animizio/website-contact-outreach-readiness.md - **Developed by:** [Daniel](https://apify.com/animizio) (community) - **Categories:** Lead generation, Jobs, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 website contact audits 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.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 & Outreach Readiness Finder Find public contact details on company websites and score each site for outreach readiness. This Apify Actor is built for lead generation, CRM enrichment, sales research, agency outreach, SEO audits, and B2B prospect qualification. It does **not** scrape Google Maps or LinkedIn. It only fetches public website pages provided by the user. ### What it does For every input website, the Actor: - fetches the homepage - optionally follows likely contact, imprint/legal, privacy, about and support pages on the same domain - extracts public email addresses - extracts likely phone numbers - extracts social profile links - detects contact page, imprint/legal page and privacy page signals - calculates a `contact_score` from 0-100 - assigns `outreach_readiness`: `high`, `medium`, or `low` - recommends the best outreach channel: `email`, `phone`, `social`, or `manual_research` - outputs one clean dataset row per website ### Example input ```json { "urls": ["https://www.apify.com", "https://www.python.org"], "maxPagesPerSite": 8, "followContactPages": true, "includeSocialProfiles": true, "includePhones": true, "riskOnly": false, "maxItems": 50, "outputMode": "summary" } ```` ### Example output ```json { "url": "https://www.example.com", "domain": "example.com", "contact_score": 82, "outreach_readiness": "high", "risk_level": "low", "recommended_contact_channel": "email", "email_count": 1, "phone_count": 1, "social_profile_count": 2, "has_contact_page": true, "has_imprint_page": true, "has_privacy_page": true, "recommendation": "Good outreach target. Public contact signals are available and easy to use." } ``` ### Use cases - qualify website lists before outreach - enrich CRM records with public contact signals - score local businesses or SaaS websites for outreach readiness - find websites that need manual research - monitor whether contact pages or legal pages disappear ### Pricing suggestion Recommended pay-per-event setup: | Event | Suggested price | |---|---:| | `website-audit` | $0.01 per website analyzed | Set `website-audit` as the primary event. Do not add a separate paid dataset-result event for the MVP. ### Limitations - The Actor only sees public pages it can fetch over HTTP. - Some websites hide contact details behind JavaScript, forms, anti-bot systems, images, or login walls. - Extracted contact data should be reviewed before outreach. - The score is an indicator, not a guarantee of lead quality or deliverability. # Actor input Schema ## `urls` (type: `array`): Company or website URLs to analyze. Use public website homepages, e.g. https://www.apify.com. ## `maxPagesPerSite` (type: `integer`): Maximum number of same-domain pages to fetch per website. The homepage counts as one page. ## `followContactPages` (type: `boolean`): When enabled, the Actor follows same-domain pages likely to contain contacts, imprint/legal or privacy information. ## `includeSocialProfiles` (type: `boolean`): Extract LinkedIn, X/Twitter, Facebook, Instagram, YouTube, TikTok and GitHub links. ## `includePhones` (type: `boolean`): Extract likely public phone numbers from visible text and tel: links. ## `requestTimeoutSecs` (type: `integer`): HTTP request timeout per page. ## `riskOnly` (type: `boolean`): When enabled, output only websites with medium or high outreach risk. ## `maxItems` (type: `integer`): Maximum number of input URLs to analyze in one run. ## `outputMode` (type: `string`): summary keeps rows compact; detailed includes crawled pages and extraction details. ## Actor input object example ```json { "urls": [ "https://www.apify.com", "https://www.python.org" ], "maxPagesPerSite": 8, "followContactPages": true, "includeSocialProfiles": true, "includePhones": true, "requestTimeoutSecs": 15, "riskOnly": false, "maxItems": 50, "outputMode": "summary" } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("animizio/website-contact-outreach-readiness").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 = {} # Run the Actor and wait for it to finish run = client.actor("animizio/website-contact-outreach-readiness").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 '{}' | apify call animizio/website-contact-outreach-readiness --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=animizio/website-contact-outreach-readiness", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Contact & Outreach Readiness Finder", "description": "Find public contact details on company websites and score each site for outreach readiness.", "version": "0.1", "x-build-id": "73MjpEBbwLpZdvYaT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/animizio~website-contact-outreach-readiness/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-animizio-website-contact-outreach-readiness", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/animizio~website-contact-outreach-readiness/runs": { "post": { "operationId": "runs-sync-animizio-website-contact-outreach-readiness", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/animizio~website-contact-outreach-readiness/run-sync": { "post": { "operationId": "run-sync-animizio-website-contact-outreach-readiness", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "Website URLs", "type": "array", "description": "Company or website URLs to analyze. Use public website homepages, e.g. https://www.apify.com.", "default": [ "https://www.apify.com", "https://www.python.org" ], "items": { "type": "string" } }, "maxPagesPerSite": { "title": "Maximum pages per website", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of same-domain pages to fetch per website. The homepage counts as one page.", "default": 8 }, "followContactPages": { "title": "Follow likely contact/legal pages", "type": "boolean", "description": "When enabled, the Actor follows same-domain pages likely to contain contacts, imprint/legal or privacy information.", "default": true }, "includeSocialProfiles": { "title": "Extract social profiles", "type": "boolean", "description": "Extract LinkedIn, X/Twitter, Facebook, Instagram, YouTube, TikTok and GitHub links.", "default": true }, "includePhones": { "title": "Extract phone numbers", "type": "boolean", "description": "Extract likely public phone numbers from visible text and tel: links.", "default": true }, "requestTimeoutSecs": { "title": "Request timeout seconds", "minimum": 3, "maximum": 60, "type": "integer", "description": "HTTP request timeout per page.", "default": 15 }, "riskOnly": { "title": "Only output medium/high outreach-risk websites", "type": "boolean", "description": "When enabled, output only websites with medium or high outreach risk.", "default": false }, "maxItems": { "title": "Maximum websites to analyze", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of input URLs to analyze in one run.", "default": 50 }, "outputMode": { "title": "Output mode", "enum": [ "summary", "detailed" ], "type": "string", "description": "summary keeps rows compact; detailed includes crawled pages and extraction details.", "default": "summary" } } }, "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 } } } } } } } } } } ```