# Website Contact Extractor — Emails, Phones & Company Data (`adinfosys-labs/website-contact-extractor-emails-phones-company-data`) Actor Extract verified business emails, phone numbers, LinkedIn profiles and company data from websites. CRM-ready output in CSV and Excel. - **URL**: https://apify.com/adinfosys-labs/website-contact-extractor-emails-phones-company-data.md - **Developed by:** [Artashes Arakelyan](https://apify.com/adinfosys-labs) (community) - **Categories:** Automation, Developer tools, Integrations - **Stats:** 38 total users, 1 monthly users, 100.0% runs succeeded, 3 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $20.00 / 1,000 website analyzeds 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 ## Website Contact Extractor — Emails, Phones & Company Data ### Apify Actor Run this Actor on Apify: https://apify.com/adinfosys-labs/b2b-website-contact-extractor-— Emails, Phones & Company Data ### What You Get The Actor automatically converts websites into structured business intelligence data. Example dataset: | organization_name | best_email | best_phone | linkedin_company_url | industry | country | |-------------------|-------------------|------------------|----------------------------|----------|---------| | Stripe |support|@stripe.com| +1 888 926 2289 | linkedin.com/company/stripe| Fintech | USA | | Shopify |support@shopify.com| +1 613 241 2828 | linkedin.com/company/shopify|Ecommerce| Canada | | Notion | team@notion.so | +1 415 555 1234 | linkedin.com/company/notion | Software| USA | Export formats: - CSV - Excel (XLSX) Extract emails, phone numbers, LinkedIn company profiles, and company intelligence from for B2B lead generation and CRM enrichment. Process up to **10,000 websites automatically** and generate structured B2B contact datasets. The **B2B Website Contact Extractor** is a scalable web intelligence Actor that scans company websites and extracts business contact data and company signals useful for **lead generation, CRM enrichment and market intelligence**. Instead of manually visiting thousands of websites, the Actor automatically: - crawls company websites - discovers contact and about pages - extracts business emails - extracts phone numbers - detects company names - identifies LinkedIn company pages - detects Google Maps locations - extracts social media profiles - estimates company size - classifies industry - detects country from domain The result is a **clean structured dataset ready for lead generation, CRM enrichment and data analysis.** --- ## Key Capabilities ✔ Extract business emails ✔ Extract phone numbers ✔ Discover contact pages automatically ✔ Detect LinkedIn company profiles ✔ Detect Google Maps locations ✔ Extract company addresses ✔ Detect social media profiles ✔ Estimate company size ✔ Classify industry ✔ Export CSV and Excel datasets ✔ Process up to **10,000 websites per run** --- ## Perfect For • B2B lead generation • CRM data enrichment • Business directory creation • Market intelligence datasets • Startup discovery • Competitor contact research --- ## Typical Use Cases ### Lead Generation Build prospect lists by extracting company emails and phone numbers directly from websites. ### CRM Data Enrichment Enhance company records with missing contact information and company intelligence signals. ### Market Research Analyze industry signals, company presence and contact channels across thousands of websites. ### Business Development Discover new companies and identify potential outreach channels. ### Startup Intelligence Track emerging companies and their online presence. --- ## How It Works The Actor uses targeted website crawling to extract valuable information efficiently. Website List │ ▼ Homepage Crawl │ ▼ Page Discovery (Contact / About / Support) │ ▼ Contact Extraction (Emails / Phones) │ ▼ Company Intelligence Detection (Industry / LinkedIn / Maps) │ ▼ Structured Dataset Instead of crawling entire websites, the Actor scans only the **most relevant pages**, keeping runs **fast and cost-efficient**. --- ## Quick Start Example configuration file: ```json { "startUrls": [ { "url": "https://curlsask.ca/contact/" }, { "url": "https://www.nicherecruitment.ca/contact-us.html" }, { "url": "https://www.kitchener.ca/recreation-and-sports/community-centres/victoria-hills-community-centre/" }, { "url": "https://www.adinfosys.net" }, { "url": "https://appexchange.salesforce.com" }, { "url": "https://stripe.com" }, { "url": "https://shopify.com" }, { "url": "https://notion.so" } ], "maxSites": 25, "maxPagesPerSite": 4, "extractSocialLinks": true, "outputCsv": true, "outputXlsx": true, "pushEmptyRecord": false } examples/local_input.json { "startUrls": [ { "url": "https://curlsask.ca/contact/" }, { "url": "https://www.nicherecruitment.ca/contact-us.html" }, { "url": "https://www.kitchener.ca/recreation-and-sports/community-centres/victoria-hills-community-centre/" }, {"url": "https://www.adinfosys.net"}, {"url": "https://appexchange.salesforce.com"}, {"url": "https://stripe.com"}, {"url": "https://shopify.com"}, {"url": "https://notion.so"} ], "maxSites": 25, "maxPagesPerSite": 4, "extractSocialLinks": true, "outputCsv": true, "outputXlsx": true, "pushEmptyRecord": false } ## Example Output Dataset Example rows produced by the Actor. organization_name industry country best_email best_phone linkedin_company_url pages_scanned_count status CURLSASK Nonprofit Canada info@curlsask.ca +1 306 555 4421 linkedin.com/company/curlsask 3 OK Niche Recruitment Recruitment Canada info@nicherecruitment.ca +1 519 555 8821 linkedin.com/company/niche-recruitment 3 OK City of Kitchener Government Canada service@kitchener.ca +1 519 741 2345 linkedin.com/company/city-of-kitchener 4 OK Adinfosys Engineering Armenia info@adinfosys.net +374 10 555 123 linkedin.com/company/adinfosys 2 OK ## Output Dataset Fields ### Company Identity • organization_name • industry • country • company_size_estimate • address_text ### Contact Information • best_email • best_phone • emails • phones • emails_count • phones_count • contact_page • contact_form_url ### Company Online Presence • linkedin_company_url • google_maps_url • socials • socials_count ### Technical Metadata • input_url • final_url • pages_scanned_count • confidence_email • confidence_phone • evidence • status • error ## Capacity • Designed for large-scale website processing. Parameter Value Websites per run 10,000 Concurrent workers up to 200 Pages per website up to 10 Typical pages scanned 3–4 ecommended Configuration Typical production configuration: maxSites = 10000 concurrency = 35 maxPagesPerSite = 2 Estimated workload: 10,000 websites × ~3 pages each ≈ 30,000 page requests Typical runtime: 20–40 minutes depending on website speed. ## Best Practices Start Small Test with 10–50 websites first. Increase Scale Gradually Run in stages: • 100 websites • 1,000 websites • 5,000 websites • 10,000 websites Limit Page Depth Most websites expose contact information on homepage or contact page. Recommended: maxPagesPerSite = 2 ## Limitations Some websites may: • block automated requests • hide contact information • load contact data using JavaScript In these cases the Actor may return partial results. ## Custom Development Need a custom scraper or data pipeline? I build scalable web data extraction systems including: • marketplace intelligence • lead generation pipelines • SaaS ecosystem analysis • location intelligence systems • large-scale web data collection Feel free to reach out for custom solutions. ## Summary The B2B Website Contact Extractor is a scalable contact intelligence engine capable of scanning thousands of websites and extracting structured company information. It combines: • intelligent crawling • contact extraction • company data enrichment • scalable concurrent processing to produce datasets suitable for: • lead generation • market research • CRM enrichment • business intelligence ## Pricing Tip (Important) Website analyzed = $0.04 Lead found = $0.06 Start instead with: Website analyzed = $0.02 Lead found = $0.03 FAQ Can this Actor crawl entire websites? No. The Actor scans only the most relevant pages to keep runs fast. How many websites can be processed? Up to 10,000 websites per run. Can the Actor extract emails from PDFs? No. The Actor processes HTML pages only. # Actor input Schema ## `startUrls` (type: `array`): List of website URLs to analyze. Add company homepages or direct contact/about pages. ## `maxSites` (type: `integer`): Maximum number of websites to analyze from the provided list. ## `maxPagesPerSite` (type: `integer`): Maximum number of pages to scan per website. Recommended: 2–3 for best speed and quality. ## `concurrency` (type: `integer`): Number of websites to process in parallel. Use lower values for safer runs and higher values for large batches. ## `siteTimeoutSec` (type: `integer`): Maximum time allowed for processing a single website before it is marked as failed. ## `extractSocialLinks` (type: `boolean`): Extract LinkedIn and other social profile links when found. ## `useConcurrent` (type: `boolean`): Process multiple websites in parallel for faster runs. ## `strictStoreMode` (type: `boolean`): Return only high-quality CRM-ready results. Recommended for demos, Store runs, and clean exports. ## `pushEmptyRecord` (type: `boolean`): If enabled, the Actor pushes an EMPTY record when no usable data is found. Usually keep disabled for clean datasets. ## `outputCsv` (type: `boolean`): Generate OUTPUT.csv in the key-value store. ## `outputXlsx` (type: `boolean`): Generate OUTPUT.xlsx in the key-value store. ## Actor input object example ```json { "startUrls": [ { "url": "https://curlsask.ca/contact/" }, { "url": "https://www.nicherecruitment.ca/contact-us.html" }, { "url": "https://www.adinfosys.net" } ], "maxSites": 3, "maxPagesPerSite": 3, "concurrency": 10, "siteTimeoutSec": 25, "extractSocialLinks": true, "useConcurrent": true, "strictStoreMode": true, "pushEmptyRecord": false, "outputCsv": true, "outputXlsx": true } ```` # Actor output Schema ## `resultsDataset` (type: `string`): No description # 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://curlsask.ca/contact/" }, { "url": "https://www.nicherecruitment.ca/contact-us.html" }, { "url": "https://www.adinfosys.net" } ], "maxSites": 3, "maxPagesPerSite": 3, "concurrency": 10, "siteTimeoutSec": 25, "extractSocialLinks": true, "useConcurrent": true, "strictStoreMode": true, "pushEmptyRecord": false, "outputCsv": true, "outputXlsx": true }; // Run the Actor and wait for it to finish const run = await client.actor("adinfosys-labs/website-contact-extractor-emails-phones-company-data").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://curlsask.ca/contact/" }, { "url": "https://www.nicherecruitment.ca/contact-us.html" }, { "url": "https://www.adinfosys.net" }, ], "maxSites": 3, "maxPagesPerSite": 3, "concurrency": 10, "siteTimeoutSec": 25, "extractSocialLinks": True, "useConcurrent": True, "strictStoreMode": True, "pushEmptyRecord": False, "outputCsv": True, "outputXlsx": True, } # Run the Actor and wait for it to finish run = client.actor("adinfosys-labs/website-contact-extractor-emails-phones-company-data").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://curlsask.ca/contact/" }, { "url": "https://www.nicherecruitment.ca/contact-us.html" }, { "url": "https://www.adinfosys.net" } ], "maxSites": 3, "maxPagesPerSite": 3, "concurrency": 10, "siteTimeoutSec": 25, "extractSocialLinks": true, "useConcurrent": true, "strictStoreMode": true, "pushEmptyRecord": false, "outputCsv": true, "outputXlsx": true }' | apify call adinfosys-labs/website-contact-extractor-emails-phones-company-data --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=adinfosys-labs/website-contact-extractor-emails-phones-company-data", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Contact Extractor — Emails, Phones & Company Data", "description": "Extract verified business emails, phone numbers, LinkedIn profiles and company data from websites. CRM-ready output in CSV and Excel.", "version": "1.0", "x-build-id": "R8kXWiKzKeUycdyFv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/adinfosys-labs~website-contact-extractor-emails-phones-company-data/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-adinfosys-labs-website-contact-extractor-emails-phones-company-data", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/adinfosys-labs~website-contact-extractor-emails-phones-company-data/runs": { "post": { "operationId": "runs-sync-adinfosys-labs-website-contact-extractor-emails-phones-company-data", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/adinfosys-labs~website-contact-extractor-emails-phones-company-data/run-sync": { "post": { "operationId": "run-sync-adinfosys-labs-website-contact-extractor-emails-phones-company-data", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Website URLs", "type": "array", "description": "List of website URLs to analyze. Add company homepages or direct contact/about pages.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxSites": { "title": "Maximum websites to process", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of websites to analyze from the provided list.", "default": 100 }, "maxPagesPerSite": { "title": "Maximum pages per website", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum number of pages to scan per website. Recommended: 2–3 for best speed and quality.", "default": 3 }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 200, "type": "integer", "description": "Number of websites to process in parallel. Use lower values for safer runs and higher values for large batches.", "default": 10 }, "siteTimeoutSec": { "title": "Per-site timeout (seconds)", "minimum": 5, "maximum": 120, "type": "integer", "description": "Maximum time allowed for processing a single website before it is marked as failed.", "default": 25 }, "extractSocialLinks": { "title": "Extract social links", "type": "boolean", "description": "Extract LinkedIn and other social profile links when found.", "default": true }, "useConcurrent": { "title": "Use concurrent processing", "type": "boolean", "description": "Process multiple websites in parallel for faster runs.", "default": true }, "strictStoreMode": { "title": "Strict CRM-ready mode", "type": "boolean", "description": "Return only high-quality CRM-ready results. Recommended for demos, Store runs, and clean exports.", "default": true }, "pushEmptyRecord": { "title": "Push empty record when no results found", "type": "boolean", "description": "If enabled, the Actor pushes an EMPTY record when no usable data is found. Usually keep disabled for clean datasets.", "default": false }, "outputCsv": { "title": "Export CSV", "type": "boolean", "description": "Generate OUTPUT.csv in the key-value store.", "default": true }, "outputXlsx": { "title": "Export Excel (XLSX)", "type": "boolean", "description": "Generate OUTPUT.xlsx in the key-value store.", "default": true } } }, "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 } } } } } } } } } } ```