📇 Contact Details Extractor - Extract Emails, Phone Numbers & Social Media From Any Website

The most affordable contact scraper on Apify. Extract emails, phone numbers, and 25+ social media profiles from any website at just $0.001 per page - 50% cheaper than alternatives.

🚀 Dead simple: Paste URLs, click Run, get contacts.

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🏆 Why Use This Contact Scraper?

Feature	Contact Details Extractor	Alternatives
💰 Price per page	$0.001	$0.002+
🌐 Social platforms	25+ platforms	Limited
🛡️ Cloudflare bypass	✅ Built-in decoding	❌ Often fails
🎯 Smart crawling	✅ Auto-prioritizes contact pages	❌ Basic crawling
🧹 URL filtering	✅ Skips parked domains, social, directories	❌ Wastes budget
⚡ Setup complexity	Paste URL, click Run	Complex configs

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📊 What Data Can You Extract?

Category	Data Types
📧 Emails	All email addresses (mailto: links, text, Cloudflare-protected)
📞 Phone Numbers	Phone numbers (tel: links, international formats, validated)
💼 LinkedIn	Company pages, personal profiles
🐦 Twitter / X	Profiles, handles
📸 Instagram	Profiles
👥 Facebook	Pages, profiles
🎬 YouTube	Channels, custom URLs
🎵 TikTok	Profiles
📌 Pinterest	Profiles, boards
🎮 Discord	Server invites
✈️ Telegram	Channels, groups
🤖 Reddit	Subreddits, user profiles
💬 WhatsApp	Click-to-chat links
👻 Snapchat	Profiles
🧵 Threads	Profiles
🦋 Bluesky	Profiles
🐘 Mastodon	Profiles (multiple instances)
🐙 GitHub	Profiles, organizations
📝 Medium	Author profiles, publications
📰 Substack	Newsletter profiles
🎮 Twitch	Channels
🎧 Spotify	Artists, podcasts, users
🎥 Vimeo	Channels, profiles
🏀 Dribbble	Designer profiles
🎨 Behance	Creative portfolios
🎵 SoundCloud	Artist profiles

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🆕 Contact Scraper Features

🧹 Smart URL Filtering

Your crawl budget goes further with intelligent URL filtering:

• Parked domains - Detects 30+ parking services and "domain for sale" pages
• Social media - Skips Facebook login walls, LinkedIn gates, and 35+ social platforms
• Directory sites - Filters Yelp, Yellow Pages, and other listing sites
• Parking redirects - Detects when start URLs redirect to parking pages
• End-of-run summary shows exactly what was filtered and why

🏢 Company Name Extraction

Automatically extracts the company/business name from:

• Open Graph meta tags (og:site_name)
• Schema.org Organization data
• Page title (cleaned)
• Copyright notices (heuristics mode)

📍 Address Extraction

Extracts physical addresses with parsed components:

• US addresses (ZIP codes)
• UK addresses (postcodes)
• Canadian addresses (postal codes)
• Schema.org PostalAddress data

🤖 Auto Browser Mode

Set browserMode: "auto" to let us detect when a page needs JavaScript rendering:

• Detects React, Vue, Angular, Next.js apps
• Auto-retries with browser if no contacts found
• Only charges browser rate when actually used

🗺️ Sitemap Crawling

Enable useSitemap: true to discover URLs via sitemap.xml:

• Auto-detects sitemap location
• Supports sitemap index files
• More efficient than link crawling

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⚙️ How to Scrape Contact Details from Any Website

1️⃣ Paste your URLs (websites, landing pages, directories)
2️⃣ Set crawl depth (how many pages per site)
3️⃣ Click "Start" and get clean, structured data

The scraper automatically:

• 🎯 Finds contact pages - Prioritizes /contact, /about, /team, /connect pages
• 🔓 Decodes protected emails - Bypasses Cloudflare email obfuscation
• ✅ Validates phone numbers - Filters out dates, IPs, and false positives
• 🔄 Merges contacts per domain - One clean record per website

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📥 Contact Scraper Input Options

{
  "startUrls": [
    { "url": "https://example.com" },
    { "url": "https://another-site.com/contact" }
  ],
  "maxPagesPerStartUrl": 10,
  "maxDepth": 2,
  "sameDomain": true,
  "mergeContacts": true,
  "browserMode": "off",
  "useResidentialProxy": false
}

📋 Input Parameters Explained

Parameter	Type	Default	Description
startUrls	array	required	List of websites to scrape
maxPagesPerStartUrl	number	20	Maximum pages to crawl per website
maxDepth	number	2	How deep to follow links (0 = only start URL)
sameDomain	boolean	true	Stay on the same domain
mergeContacts	boolean	true	Combine all contacts per domain into one record
useResidentialProxy	boolean	false	Use residential proxies for blocked sites (adds $0.001/page)
companyNameMethod	string	"heuristics"	"meta", "heuristics", or "off"
addressExtraction	boolean	true	Extract physical addresses
browserMode	string	"off"	"off", "on", or "auto"
useSitemap	boolean	false	Use sitemap.xml for URL discovery
allowCrossDomainRedirects	boolean	false	Allow redirects to different domains (disabled by default to save budget)
sitemapUrl	string	null	Custom sitemap URL (optional)

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📤 What Contact Data Can You Extract?

Each result contains all discovered contact information for a domain:

{
  "originalStartUrl": "https://example.com",
  "domain": "example.com",
  "companyName": "Example Corp",
  "addresses": [
    {
      "full": "123 Main Street, San Francisco, CA 94102",
      "street": "123 Main Street",
      "city": "San Francisco",
      "state": "CA",
      "zip": "94102",
      "country": "USA"
    }
  ],
  "scrapedUrls": [
    "https://example.com/",
    "https://example.com/contact",
    "https://example.com/about"
  ],
  "emails": [
    "hello@example.com",
    "sales@example.com"
  ],
  "phones": [
    "+1-555-123-4567"
  ],
  "phonesUncertain": [
    "555-123-4567"
  ],
  "linkedIns": [
    "https://linkedin.com/company/example"
  ],
  "twitters": [
    "https://twitter.com/example"
  ],
  "instagrams": [
    "https://instagram.com/example"
  ],
  "facebooks": [
    "https://facebook.com/example"
  ],
  "youtubes": [],
  "tiktoks": [],
  "pinterests": [],
  "discords": [],
  "snapchats": [],
  "threads": [],
  "telegrams": [],
  "reddits": [],
  "whatsapps": [],
  "blueskys": [],
  "mastodons": [],
  "githubs": [],
  "mediums": [],
  "substacks": [],
  "twitchs": [],
  "spotifys": [],
  "vimeos": [],
  "dribbbles": [],
  "behances": [],
  "soundclouds": []
}

📖 Understanding the Output

• 📧 emails: Confirmed email addresses from mailto: links
• 📞 phones: Confirmed phone numbers from tel: links
• ❓ phonesUncertain: Phone patterns found in text (may include false positives)
• 🌐 Social arrays: Direct links to social media profiles

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💰 How Much Does It Cost to Scrape Contact Details?

This Actor uses Pay-Per-Event pricing. You only pay for pages actually scraped.

Event	Cost
📄 Page scraped (HTTP)	$0.001
🌐 Page scraped (Browser)	$0.002
🏠 Residential proxy used	+$0.001
⭐ Premium add-ons (SEO/Forms/Business)	+$0.001/page each

💵 Cost Examples

Task	Pages	Mode	Total Cost
Scrape 100 company websites (1 page each)	100	HTTP	$0.10
Deep crawl 10 sites (20 pages each)	200	HTTP	$0.20
Scrape 50 JS-heavy sites	50	Browser	$0.10
Extract contacts from 1,000 landing pages	1,000	HTTP	$1.00

🎉 Compare: Competitors charge $0.002+ per page. You save 50% on every scrape!

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Premium Features

Optional paid add-ons that extract additional data. You only pay when data is found.

Feature	What it extracts	Price
SEO Data	Meta tags, Open Graph, Twitter cards, h1 headings, keywords, robots, schema type	+$0.001/page
Contact Forms	Form URLs, types (contact, quote, newsletter), field names	+$0.001/page
Business Info	Opening hours, business type, employee count, price range, payment methods, service areas	+$0.001/page

Enable Premium Features

{
  "startUrls": [{ "url": "https://example.com" }],
  "extractSeo": true,
  "extractForms": true,
  "extractBusinessInfo": true
}

Premium Output Example

{
  "domain": "example.com",
  "emails": ["hello@example.com"],
  "seo": {
    "title": "Example Corp - Best Widgets",
    "description": "We sell the best widgets",
    "ogImage": "https://example.com/og.jpg",
    "h1": ["Welcome to Example Corp"],
    "schemaType": "Organization"
  },
  "forms": [
    {
      "url": "https://example.com/contact",
      "type": "contact",
      "fields": ["name", "email", "message"]
    }
  ],
  "businessInfo": {
    "type": "LocalBusiness",
    "foundedYear": 2015,
    "employeeCount": "11-50",
    "openingHours": ["Monday, Tuesday 09:00-17:00"]
  }
}

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🎯 Contact Scraping Use Cases

📈 Lead Generation

Scrape business directories, industry listings, or competitor websites to build targeted lead lists with verified contact information.

💼 Sales Prospecting

Extract email addresses and phone numbers from company websites to fuel your outreach campaigns.

🔍 Competitor Analysis

Discover which social platforms your competitors use and how they structure their contact information.

📊 Data Enrichment

Enhance your existing company database with social media links and additional contact methods.

🌍 Market Research

Collect contact data from websites in specific industries or geographic regions.

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💡 Tips for Scraping Contact Information

🧪 Start Small

Begin with maxPagesPerStartUrl: 5 to test on a few sites before scaling up.

🎯 Target Contact Pages

For single-page extractions, append /contact or /about to your URLs:

{
  "startUrls": [{ "url": "https://example.com/contact" }],
  "maxPagesPerStartUrl": 1,
  "maxDepth": 0
}

🌐 Handle JavaScript Sites

If you're not finding contacts on modern React/Vue/Angular sites, enable browser mode:

{
  "browserMode": "on"
}

❓ Check Uncertain Phones

The phonesUncertain field contains phone-like patterns found in text. Review these manually as they may include false positives.

🔄 Merge for Clean Data

Keep mergeContacts: true (default) to get one record per domain with all contacts combined.

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❓ Frequently Asked Questions

How is this different from other contact scrapers?

We focus on simplicity and value. Paste URLs, click Run, get data. No complex configuration. And at $0.001/page, we're 50% cheaper than alternatives.

Does it work on Cloudflare-protected sites?

Yes! ✅ We automatically decode Cloudflare email obfuscation to extract the real email addresses.

What about JavaScript-heavy websites?

Set browserMode: "on" to render JavaScript. This uses a real browser and costs $0.002/page total. You can also use browserMode: "auto" for automatic detection.

Can I scrape thousands of sites?

Absolutely! 🚀 The Actor is designed for scale. Set your maxPagesPerStartUrl and let it run. Pay-per-event means you only pay for what you use.

Why are some phone numbers in "phonesUncertain"?

Phones from tel: links are 100% confirmed and go to phones. Phone patterns found in regular text go to phonesUncertain since they might be order numbers, dates, or other numeric data.

Do you extract personal data?

We only extract publicly visible contact information from websites. No scraping of private data, social media DMs, or protected content.

Is it legal to scrape websites for contact information?

Yes, scraping publicly available business contact information is generally legal. See our Legal & Compliance section for details on responsible use.

When am I charged for premium features?

Only when data is found. If you enable SEO extraction but a page has no meta tags, you won't be charged for that page's SEO extraction.

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🔌 How to Integrate Scraped Contact Data

📦 Export Options

• JSON - Full structured data
• CSV - Spreadsheet-ready format
• Excel - Direct download

🔗 API Access

Use the Apify API to run this Actor programmatically:

Invoke-RestMethod -Uri "https://api.apify.com/v2/acts/betterdevsscrape~contact-details-extractor/runs" `
  -Method POST `
  -Headers @{ "Authorization" = "Bearer YOUR_API_TOKEN"; "Content-Type" = "application/json" } `
  -Body '{ "startUrls": [{ "url": "https://example.com" }], "maxPagesPerStartUrl": 10 }'

🪝 Webhooks

Configure webhooks to receive results automatically when the scrape completes.

🔄 Integrations

Connect via Zapier, Make (Integromat), or any platform that supports REST APIs.

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⚖️ Is It Legal to Scrape Contact Details?

Web scraping publicly available data is generally legal. This Actor extracts only publicly visible contact information that businesses choose to display on their websites.

Our scraper is ethical and does not extract any private user data, such as personal emails from social media profiles, private messages, or data behind login walls. It only extracts what businesses have chosen to share publicly on their websites.

However, you should be aware that your results could contain personal data. Personal data is protected by GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so.

Users are responsible for:

• ✅ Complying with applicable data protection laws (GDPR, CCPA, etc.)
• ✅ Respecting website terms of service
• ✅ Using extracted data ethically and legally
• ✅ Obtaining necessary consents before contacting individuals

If you're unsure whether your use case is legitimate, consult your lawyers. You can also read Apify's blog post on the legality of web scraping.

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💬 Support & Feedback

• 🐛 Issues? Open a GitHub issue or contact us through Apify
• 💡 Feature requests? We'd love to hear what you need
• ❓ Questions? Check the FAQ above or reach out

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🧪 Contact Scraping Examples

Basic: Scrape one website

{
  "startUrls": [{ "url": "https://example.com" }]
}

Extract from contact page only

{
  "startUrls": [{ "url": "https://example.com/contact" }],
  "maxPagesPerStartUrl": 1,
  "maxDepth": 0
}

Deep crawl with browser for JS sites

{
  "startUrls": [{ "url": "https://react-app.com" }],
  "maxPagesPerStartUrl": 50,
  "maxDepth": 3,
  "browserMode": "on"
}

Use sitemap for efficient crawling

{
  "startUrls": [{ "url": "https://example.com" }],
  "useSitemap": true,
  "maxPagesPerStartUrl": 100
}

Scrape blocked sites with residential proxy

{
  "startUrls": [{ "url": "https://blocked-site.com" }],
  "useResidentialProxy": true
}

Bulk scraping multiple sites

{
  "startUrls": [
    { "url": "https://company1.com" },
    { "url": "https://company2.com" },
    { "url": "https://company3.com" }
  ],
  "maxPagesPerStartUrl": 5,
  "maxDepth": 1
}

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