Website Email Scraper - Find Email Addresses in Bulk

What is Website Email Scraper?

Website Email Scraper is a tool that lets you scrape email addresses from any website: it reads the page you give it plus the website's contact, about, team, imprint and legal pages, and returns every address it finds with the page it was on. Paste website links or domains, click Start, and download the emails as Excel, CSV or JSON.

• ⚡ Speed: 357 websites and 3,291 emails in under 2 minutes in our test
• 🕵️ Hidden addresses too: reads emails hidden behind "[email protected]" placeholders and addresses written as name [at] domain [dot] com
• 📞 Phones and social profiles included: each email comes with the phone numbers and Facebook, Instagram, LinkedIn, X, YouTube, TikTok and Pinterest links the website publishes, at no extra cost
• 🌍 Contact pages in many languages: Contact, Kontakt, Impressum, Mentions légales, Contacto, Chi siamo and more
• ✅ Clean lists: one row per address per website, lowercase, with image names, placeholders and tracking codes left out
• 🔓 No login: no account, API key or extension to install
• 💸 Free to try: the $5 of free usage every Apify account gets each month covers about 1,600 emails

What can Website Email Scraper do?

• Extract emails from a list of websites in one run, from a few to thousands
• Find email addresses from a domain or a company website
• Find contact emails of small businesses, law firms, clinics, agencies, hotels, universities and local governments
• Scrape email addresses from contact, about, team, staff, imprint, privacy and support pages automatically
• Decode hidden emails ("[email protected]" on the page)
• Find obfuscated emails such as info [at] acme [dot] com, info(at)acme.de or info {at} acme.com
• Get the phone numbers and social media profiles a website lists, free with its emails
• Keep only the website's own addresses (info@acme.com for acme.com), or also Gmail and other addresses it lists
• Limit the number of emails per website and per run
• Get a website's emails in seconds over the real-time API, without starting a run
• Export to Excel, CSV, JSON, HTML or XML, or send them to Google Sheets, Make, Zapier and more

What data can you extract from websites?

✉️ Email address	🌐 Email domain	✔️ Website's own address or not
📄 Page the email was found on	🏠 Website you entered	🏷️ Website domain (after redirects)
📞 Phone numbers on the website	👥 Social media profiles

How to scrape emails from websites

1. Create a free Apify account (no credit card needed).
2. Open Website Email Scraper.
3. Paste one or more website links or domains, for example acme.com or https://www.w3.org/contact/, or upload a CSV or text file with your list.
4. Set Pages per website and the email limits if you need them, then click Start.
5. When the run finishes, download the emails as Excel, CSV, JSON, HTML or XML.

Why use Website Email Scraper?

Compared with the most-used website email scraper on Apify Store (checked against its input settings in September 2026):

	Website Email Scraper	Most-used alternative
Limit emails per run and per website	✅	✅
Choose how many pages to read per website	✅	❌
Keep only the website's own addresses	✅	❌
Email domain and "website's own address" columns	✅	❌
List of websites that show no email address	✅	❌
Same input field names (urls, maxNbEmailsToScrape)	✅	✅

You can move an existing input over without changing it.

How much does it cost to scrape emails from websites?

You pay $3.00 per 1,000 emails, plus a tiny start fee per run. Phone numbers and social profiles come free with the emails, and websites without an email address cost nothing. Platform usage is included in this price, so you pay nothing extra for it.

Example: 1,000 emails cost $3.00. Our test run of 357 websites returned 3,291 emails, which would cost about $9.87.

Every Apify account gets $5 of free usage each month, enough for about 1,600 emails. Maximum emails and Maximum emails per website keep the cost of a run under control, and you can also set a maximum cost per run. See the Pricing tab for details.

⬇️ Input

Websites can be a domain (acme.com), a home page (https://www.acme.com) or any page of the site (https://www.acme.com/contact). The scraper starts at the page you give and then reads the website's most promising pages for contact details.

Setting	What it does
Website URLs	The websites to find emails on. Paste them, upload a CSV or text file, or link to one
Maximum emails	Stop after this many emails for the whole run. Empty = all emails found
Maximum emails per website	Keep at most this many emails from each website, the website's own addresses first. Empty = all of them
Pages per website	How many pages to read on each website, best first. Default 10, up to 50
Only the website's own emails	Skip addresses at other domains, such as Gmail addresses or a web designer's address

Example:

{
  "urls": [
    { "url": "https://www.w3.org/contact/" },
    { "url": "https://www.apache.org/foundation/contact" },
    { "url": "https://www.ietf.org/" }
  ],
  "maxPagesPerWebsite": 10,
  "onlyWebsiteDomainEmails": true
}

To cap one website only, give it its own limit: { "url": "acme.com", "userData": { "maxNbEmailsToScrape": 3 } }.

⬆️ Output

You get one row per email address per website. You can view them as a table in Apify Console or download them as Excel, CSV, JSON, HTML or XML.

{
  "email": "support@ietf.org",
  "emailDomain": "ietf.org",
  "websiteDomain": "ietf.org",
  "sameDomain": true,
  "url": "https://www.ietf.org/contact/",
  "seedUrl": "https://www.ietf.org/",
  "fetchedAt": "2026-09-26T08:55:49Z",
  "phones": [],
  "socialProfiles": {
    "linkedin": ["https://www.linkedin.com/company/internet-engineering-task-force"],
    "facebook": ["https://www.facebook.com/ietf"]
  }
}

seedUrl is the website exactly as you entered it, so you can join the emails back to your own list. sameDomain is true when the address is at the website's own domain, including its subdomains: info@mail.acme.com for acme.com, and any stanford.edu address for cs.stanford.edu.

phones and socialProfiles are the website's own, the same on each of its rows. Phone numbers are in international format (+12069701031) when the country is known from the website, otherwise as written. Social profiles are grouped by network (facebook, instagram, linkedin, x, youtube, tiktok, pinterest); share buttons and single posts are left out. Only what the website itself publishes is listed.

Each run also saves a short report: how many websites and emails it covered, every website it could not read with the reason (for example, a domain that does not exist), and the websites that show no email address at all.

How can I use website email data?

• Lead generation: turn a list of company websites into a list of contact emails for outreach
• CRM enrichment: add a contact email to every account that only has a website
• Local business research: collect the contact addresses of dentists, lawyers, contractors or hotels in a region
• Public sector and education contacts: gather department addresses from city, county and university websites
• Data cleaning: check which websites in your list still publish a contact email

Real-time email finder API

Need a website's emails right away inside your app? Call the actor's API and get them back in the response, without starting a run:

GET https://<your-actor-standby-url>/emails?url=acme.com
Authorization: Bearer <YOUR_API_TOKEN>

Add maxPagesPerWebsite, maxEmailsPerWebsite or onlyWebsiteDomainEmails=true to the query. Each call reads one website and usually answers in a few seconds; for a list of websites, start a run.

You can also run the actor from your own code with the Apify API or the Python and JavaScript clients:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("automly/website-email-scraper").call(run_input={
    "urls": [{"url": "https://www.w3.org/contact/"}, {"url": "https://www.ietf.org/"}],
    "onlyWebsiteDomainEmails": True,
})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row["seedUrl"], row["email"], row["url"])

Scrape more contact and lead data

Actor	What it gets
Google Maps Scraper	Local businesses from Google Maps: name, address, phone, website, rating, reviews and opening hours
Facebook Pages Scraper - Page Details & Contacts	Facebook Page details: business email, phone, address, websites, category and follower count
LinkedIn Company Employees Scraper + Emails (No Login)	A company's employees from LinkedIn: name, headline, location and profile link, filtered by job title
LinkedIn Profile Scraper + Email Finder (No Login)	LinkedIn profiles: name, headline, location, company, experience and education
YouTube Channel Scraper - Search Channels by Keyword	YouTube channels by keyword: subscribers, video and view counts, country, description and links

❓FAQ

How much does it cost to scrape emails from websites?

$3.00 per 1,000 emails. Phone numbers and social profiles come free with them, and websites without an email address cost nothing. See the cost section above.

How many emails will I get per website?

It depends on the website. In our test of 357 websites (small businesses, agencies, hotels, universities and local governments), 76% showed at least one email address. A small business usually has one to five addresses; a university or city website can list hundreds.

Why did a website return no emails?

Many websites publish only a contact form or a phone number, show their address as an image, or reveal it only after you click a button. Those websites are listed in the run report under websites without emails, and they cost nothing.

Why was a website listed as failed?

The run report gives the reason for each one: the domain does not exist, the website did not answer in time, or it refused the visit. The run continues with the other websites.

Which pages does it read?

The page you entered, then the website's own pages whose link or address points to contact details, best first: contact, imprint and legal notice pages, then about, team, staff and support pages, then privacy and terms pages. It stays on the website you entered (or the one it forwards to) and its subdomains: for cs.stanford.edu it reads cs.stanford.edu pages, not the rest of stanford.edu. Set Pages per website to read more or fewer pages.

Which emails are left out?

Anything that only looks like an email address: image names such as logo@2x.png, script and style file names, template placeholders such as you@example.com or john.doe@..., and codes that error-tracking tools put in pages. Every address is lowercased and appears once per website.

What if the same email is on two websites?

You get one row for each website, so every website in your list gets its full set of contacts.

Can it find emails hidden from scrapers?

Yes. It reads addresses hidden behind "[email protected]" placeholders, addresses written with HTML codes, and addresses spelled out as name [at] domain [dot] com, name(at)domain.de or name {at} domain {dot} com. In one of our test runs it found 221 hidden and 57 spelled-out addresses that simple email extractors miss.

Do I need an account or API key for the websites?

No. It reads only the public pages that anyone can open, without an account, password or API key.

Can I connect Website Email Scraper to other tools or AI agents?

Yes. Start runs and download results with the Apify API or the Python and JavaScript clients, send results to Make, Zapier, n8n, Google Sheets or Slack with Apify integrations and webhooks, or let AI assistants and agents run it through the Apify MCP server at mcp.apify.com.

Is it legal to scrape emails from websites?

It collects only addresses that websites publish on their public pages. Addresses that identify a person are personal data under GDPR and similar laws, so only collect and use them for a legitimate reason and follow the anti-spam rules that apply to you. Ask a lawyer if you are unsure. You can read more in Is web scraping legal?

Website Email Scraper is an independent tool. It is not affiliated with, endorsed by or sponsored by any of the websites it reads.

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Open the Issues tab and tell us the website and what you expected. We usually reply within a day.

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