# Contact Details Enricher - Emails, Phones & Socials (`wetyr_corporation/contact-details-enricher`) Actor Bulk enrich any list of websites with decision-maker emails (CEO/founder/sales), phone numbers (E.164 normalized), and social media profiles (LinkedIn, Twitter/X, Instagram, Facebook, TikTok, YouTube, GitHub). - **URL**: https://apify.com/wetyr\_corporation/contact-details-enricher.md - **Developed by:** [WETYR CORPORATION](https://apify.com/wetyr_corporation) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Contact Details Enricher - Emails, Phones & Decision Makers Extract decision-maker emails, phone numbers, and 7 social media profiles from any list of websites. Built for B2B sales prospecting, CRM enrichment, and lead qualification at scale. ### What it pulls per website - **Emails** with automatic decision-maker classification (CEO/founder/CMO/sales vs generic info@/contact@) - **Phone numbers** normalized to international E.164 format (US, UK, DE, FR, AU regions) - **7 social networks** - LinkedIn, Twitter/X, Instagram, Facebook, TikTok, YouTube, GitHub - **Multi-page crawl** - scans homepage, /contact, /about, /team for full coverage - **Residential proxy default** - bypasses rate limits on large lead lists ### Pricing - pay per result | Event | Price | |-------|-------| | Actor start | $0.10 | | Website successfully enriched | $0.05 | | Email found (any) | $0.01 | | Decision-maker email (CEO/founder/CMO/sales) | $0.05 | Typical run: 1,000 websites with avg 3 emails + 1 decision-maker each = **~$130 total**. ### Output ```json { "website": "https://stripe.com", "domain": "stripe.com", "emails": ["jane.diaz@stripe.com"], "decisionMakerEmails": ["jane.diaz@stripe.com"], "genericEmails": [], "phones": ["+18889262289"], "socials": { "linkedin": ["https://www.linkedin.com/company/stripe"], "twitter": ["https://twitter.com/stripe"], "instagram": ["https://www.instagram.com/stripehq"], "github": ["https://github.com/stripe"] } } ```` ### Use cases - B2B sales lead enrichment at scale - CRM data appending (HubSpot, Salesforce, Apollo) - Cold outreach campaign building - Account-based marketing (ABM) target list enrichment - Recruiter sourcing decision-maker contacts ### Built by WETYR Corporation Web scraping and data enrichment APIs. [See full portfolio of 18+ scrapers](https://apify.com/wetyr_corporation). # Actor input Schema ## `websites` (type: `array`): List of website URLs or domains to extract contact info from. Examples: stripe.com, https://shopify.com ## `maxDepth` (type: `integer`): How many pages per site to scan. 1 = homepage only. 5 = homepage + contact + about + team + privacy. ## `extractEmails` (type: `boolean`): Find email addresses on the website (e.g. ceo@company.com). ## `extractPhones` (type: `boolean`): Find phone numbers and normalize to international E.164 format. ## `extractSocials` (type: `boolean`): Find LinkedIn, Twitter/X, Instagram, Facebook, TikTok, YouTube, and GitHub profile URLs. ## `filterRoleEmails` (type: `boolean`): Mark CEO/founder/sales/CMO emails as high-value vs generic info@/contact@. ## `proxyConfiguration` (type: `object`): Use Apify Proxy to avoid rate limits when enriching large lists. ## Actor input object example ```json { "websites": [ "stripe.com", "shopify.com" ], "maxDepth": 5, "extractEmails": true, "extractPhones": true, "extractSocials": true, "filterRoleEmails": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "websites": [ "stripe.com", "shopify.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("wetyr_corporation/contact-details-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 = { "websites": [ "stripe.com", "shopify.com", ] } # Run the Actor and wait for it to finish run = client.actor("wetyr_corporation/contact-details-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 '{ "websites": [ "stripe.com", "shopify.com" ] }' | apify call wetyr_corporation/contact-details-enricher --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=wetyr_corporation/contact-details-enricher", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Contact Details Enricher - Emails, Phones & Socials", "description": "Bulk enrich any list of websites with decision-maker emails (CEO/founder/sales), phone numbers (E.164 normalized), and social media profiles (LinkedIn, Twitter/X, Instagram, Facebook, TikTok, YouTube, GitHub).", "version": "0.1", "x-build-id": "YZanhlNKYTS3zso2s" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/wetyr_corporation~contact-details-enricher/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-wetyr_corporation-contact-details-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/wetyr_corporation~contact-details-enricher/runs": { "post": { "operationId": "runs-sync-wetyr_corporation-contact-details-enricher", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/wetyr_corporation~contact-details-enricher/run-sync": { "post": { "operationId": "run-sync-wetyr_corporation-contact-details-enricher", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "websites" ], "properties": { "websites": { "title": "Websites to Enrich", "type": "array", "description": "List of website URLs or domains to extract contact info from. Examples: stripe.com, https://shopify.com", "items": { "type": "string" } }, "maxDepth": { "title": "Crawl Depth", "minimum": 1, "maximum": 15, "type": "integer", "description": "How many pages per site to scan. 1 = homepage only. 5 = homepage + contact + about + team + privacy.", "default": 5 }, "extractEmails": { "title": "Extract Emails", "type": "boolean", "description": "Find email addresses on the website (e.g. ceo@company.com).", "default": true }, "extractPhones": { "title": "Extract Phone Numbers", "type": "boolean", "description": "Find phone numbers and normalize to international E.164 format.", "default": true }, "extractSocials": { "title": "Extract Social Media", "type": "boolean", "description": "Find LinkedIn, Twitter/X, Instagram, Facebook, TikTok, YouTube, and GitHub profile URLs.", "default": true }, "filterRoleEmails": { "title": "Prioritize Decision-Maker Emails", "type": "boolean", "description": "Mark CEO/founder/sales/CMO emails as high-value vs generic info@/contact@.", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Use Apify Proxy to avoid rate limits when enriching large lists.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```