Website Email & Contact Scraper — Extract Emails, Phones & Social Profiles

Scrape emails, phone numbers, social media profiles, and the tech stack of any website — no coding required.

Paste website URLs into this contact scraper, click Start, and get one clean, merged JSON record per website: every email and phone number with the pages it was found on, social profiles across 17 platforms, and the technologies the site runs on — with the company's real contact flagged is_likely_official.

Works on any website — JavaScript-heavy and bot-protected sites included — and exports to JSON, CSV, or Excel in one click.

Rated Excellent — 4.6 based on 25 reviews on Trustpilot.

Output example: website contact data in JSON

Each website becomes one dataset item. Here is a trimmed result for vercel.com:

{
  "input": "vercel.com",
  "domain": "vercel.com",
  "title": "Agentic Infrastructure - Vercel",
  "description": "The autonomous stack for every app and agent.",
  "emails": [
    {
      "value": "privacy@vercel.com",
      "sources": [
        "https://vercel.com/legal/privacy-notice",
        "https://vercel.com/legal/cookie-policy"
      ],
      "is_likely_official": true
    },
    {
      "value": "security@vercel.com",
      "sources": ["https://vercel.com/legal/terms"],
      "is_likely_official": false
    }
  ],
  "phones": [],
  "phones_uncertain": [
    { "value": "800.352.5267", "sources": ["https://vercel.com/legal/terms"] }
  ],
  "linkedins": [
    {
      "value": "https://www.linkedin.com/company/vercel",
      "sources": ["https://vercel.com", "https://vercel.com/contact/sales"],
      "is_likely_official": true
    }
  ],
  "twitters": [
    {
      "value": "https://x.com/vercel",
      "sources": ["https://vercel.com", "https://vercel.com/contact/sales"],
      "is_likely_official": true
    }
  ],
  "instagrams": [
    {
      "value": "https://www.instagram.com/vercel",
      "sources": ["https://vercel.com", "https://vercel.com/contact/sales"],
      "is_likely_official": true
    }
  ],
  "youtubes": [
    {
      "value": "https://www.youtube.com/@VercelHQ",
      "sources": ["https://vercel.com", "https://vercel.com/contact/sales"],
      "is_likely_official": true
    }
  ],
  "githubs": [
    {
      "value": "https://github.com/vercel",
      "sources": ["https://vercel.com", "https://vercel.com/contact/sales"],
      "is_likely_official": true
    }
  ],
  "blueskys": [
    {
      "value": "https://bsky.app/profile/vercel.com",
      "sources": ["https://vercel.com/docs/accounts"],
      "is_likely_official": true
    }
  ],
  "technologies": [
    { "name": "Next.js", "versions": [], "categories": ["Web frameworks", "Web servers"] },
    { "name": "Node.js", "versions": [], "categories": ["Programming languages"] },
    { "name": "React", "versions": [], "categories": ["JavaScript frameworks"] },
    { "name": "Vercel", "versions": [], "categories": ["Web servers"] }
  ],
  "error": null
}

Trimmed for readability — the full record covers 17 social platforms

What data does the Website Email & Contact Scraper extract?

Data group	Fields
Emails	Every address the site exposes — including obfuscated ones like name [at] company [dot] com — with source pages and the official one flagged
Phone numbers	Validated, region-aware numbers in phones; loose matches kept separate in phones_uncertain so your CRM stays clean
Social profiles	LinkedIn, Twitter/X, Instagram, Facebook, YouTube, TikTok, Pinterest, Discord, Snapchat, Threads, Telegram, Reddit, WhatsApp, GitHub, Bluesky, Medium, and Calendly — one list per platform
Technologies	Whether the site runs Shopify, WordPress, React, and hundreds of other technologies, with versions and categories
Site identity	Resolved domain, homepage title, and meta description
Provenance	Every contact carries sources — the exact pages it was found on — so you can verify any entry yourself

How to scrape emails and contacts from websites

1. Click Try for free.
2. Paste one or more website URLs or bare domains — vercel.com and https://www.vercel.com/ both work. Add as many as you like; websites are scraped in parallel.
3. Click Start and wait for the run to finish.
4. Open the Dataset tab to preview your data, then download it as JSON, CSV, Excel, XML, or an HTML table.

No proxies, no browser setup, no CAPTCHA solving — the crawler prioritizes contact and about pages, and automatically switches to a real browser for JavaScript-rendered or bot-protected sites.

Input

{
  "websites": [
    "vercel.com"
  ]
}

Field	Type	Description
websites	array	Website URLs and/or bare domains to scrape. Duplicates are merged automatically, and each website becomes one record in the dataset.

How much does it cost to scrape website contacts?

Scraping costs $5 per 1,000 websites ($0.005 per website) — one flat price per website, no matter how many pages the crawler visits. Per-page contact scrapers charge for every page they open, so a thorough 20-page crawl of one site can cost 8× more there. Unreachable websites are never charged.

Apify gives you $5 in free credits every month, so you can scrape your first 1,000 websites and test the scraper on your real lead lists before paying anything.

FAQs

Why scrape website contacts?

• Lead generation — turn a list of company websites into emails, phone numbers, and LinkedIn profiles ready for outreach.
• Lead enrichment — fill the contact gaps in your CRM, with source pages so every entry is verifiable.
• Segmentation — the detected technologies tell you who runs Shopify, WordPress, or React, so you can target by stack.
• List cleaning — dead or parked domains are detected, logged, and never charged, so they simply drop out of your results.

How do I scrape emails from a website?

Paste the website's URL or bare domain into the input, click Start, and open the Dataset tab when the run finishes. The crawler checks the site's contact, about, and legal pages first, and every email comes back with the pages it was found on and the company's official address flagged is_likely_official: true.

How do I know which email is the company's official one?

Every email, phone, and social profile includes sources — the pages it was found on — and the highest-scoring entry per list is flagged is_likely_official: true. Prominence on the homepage, footer, and contact page plus similarity to the site's domain drive the score.

How is this different from per-page contact scrapers?

Three ways. One merged record per website — you don't get a separate row for every crawled page, so there's nothing to deduplicate or post-process. Flat per-website pricing — a deep 20-page crawl costs the same as a 3-page one, instead of 5–20× more. Richer data — per-contact sources, the is_likely_official flag, 17 social platforms (including GitHub, Bluesky, Medium, and Calendly), and technology detection, which per-page scrapers don't offer.

Can I scrape multiple websites in one run?

Yes. The input list accepts any number of websites, and each one becomes its own dataset item. An unreachable site never breaks the run — it's logged, skipped, and not charged, and the rest of your list still completes.

Can it scrape JavaScript-heavy or bot-protected websites?

Yes. Sites are first fetched with fast HTTP requests; when a site renders client-side (React/Next.js/Angular shells) or sits behind a bot wall (Cloudflare "Just a moment...", PerimeterX, Incapsula), the scraper automatically escalates to a real browser for that site.

How fresh is the contact data?

Every run is a live crawl of the website — you always get what the site exposes right now, not a stale snapshot.

Can I use integrations with this scraper?

Yes. You can connect it to almost any cloud service or web app: Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, and plenty more. You can also use webhooks to trigger an action whenever a run finishes.

Can I run it via the Apify API or MCP?

Yes. Use the apify-client package (NPM for Node.js, PyPI for Python) to start runs and fetch datasets programmatically — see the Apify API reference. The Actor also works through Apify's MCP integration, so AI agents can call it directly.

Is it legal to scrape contact details?

Web scraping publicly available data is legal, but your results may contain personal data protected by GDPR and similar laws. Only scrape personal data when you have a legitimate reason to do so; if you're unsure, consult a lawyer. Apify's post on the legality of web scraping is a good primer.

Support

Built by developers, for developers — when you reach out, you talk to the engineers who built the Actor, not a support script. Message us anytime and we'll resolve your query within 1 working day.

Email: happy.to.help@omkar.cloud

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