Email Extractor for Websites | Emails & Phones | $2 / 1K

A bulk email extractor for company websites: it pulls the emails, phone numbers and social media links that a business publishes on its own site, one clean row per domain. Paste your domains, get back a contact sheet you can drop into a CRM, a cold-email tool or a spreadsheet. It reads each homepage plus the pages most likely to hold contact details (contact, about, team, impressum, support), decodes obfuscated emails, and normalises every phone number to international E.164 format. Plain HTTP, no browser, no login, public pages only.

You pay $2 per 1,000 domains that return contact data, plus a $0.001 start fee per run. Domains that fail to load or return nothing are written to the dataset but never charged.

What can you use this email extractor for?

• Bulk email extractor for a website list. Extract emails from a website list: Turn a column of domains into a column of published email addresses, with the page each one was found on.
• Find emails of local businesses. Run it on the websites of restaurants, clinics, gyms, salons, tradespeople or shops to build a local business contact list.
• Build a lead list from company websites. Take company domains from a directory, a trade show list, a funding database or Google Maps and add emails, phones and social profiles.
• Enrich a company domain list with contact information. Fill in the missing email, phone and LinkedIn columns in an existing spreadsheet or CRM export.
• Prospect agencies, freelancers and B2B companies. Collect outreach contacts for sales, partnerships, PR and link-building campaigns.
• Scrape contact information from competitor and supplier sites. Keep a current contact sheet for a market you track.
• Phone number extractor with clean E.164 output. Every number is validated with libphonenumber, so it imports straight into dialers, WhatsApp and SMS tools.
• Find social media profiles of companies. Get LinkedIn, Facebook, Instagram, X/Twitter, YouTube, TikTok, Pinterest and WhatsApp links per domain.

What data do you get?

For every website, one row with:

• Emails: from mailto: links, plain text, JSON-LD (schema.org), Cloudflare-protected data-cfemail blobs, and obfuscated forms like name [at] site [dot] com. Junk such as image file names (logo@2x.png), example.com, Sentry and Wix tracking addresses is filtered out.
• Phone numbers: from tel: links, JSON-LD and page text, validated with libphonenumber and returned in E.164 (+14155552671) plus a readable international format and country.
• Social links: LinkedIn, Facebook, Instagram, X/Twitter, YouTube, TikTok, Pinterest, WhatsApp. Share buttons and bare network homepages are dropped.
• Where it was found: every email and phone number comes with the page URL it was found on, and how (mailto, text, json-ld, cloudflare, tel-link).
• Pages crawled, status, and an error message if the site could not be loaded.

Input

Field	What it does	Default
Websites (startUrls)	URLs or bare domains, one per line. Duplicates are merged.	required
Max pages per domain (maxPagesPerDomain)	Homepage plus the best contact-like pages found via same-site links. 1 = homepage only.	5
Max domains (maxItems)	Cost cap for the run.	100
Default country (defaultCountry)	2-letter code used to read local-format phone numbers like (415) 555-0132.	US
Extract social links (includeSocials)	Collect social profile links.	on
Proxy (useProxy)	Request directly, and retry through Apify datacenter proxy only when a site blocks the request.	on block
Parallel domains (maxConcurrency)	Domains crawled at once (pages inside one domain are fetched one by one with a pause).	10
Request timeout (requestTimeoutSecs)	Per-page timeout in seconds.	15

Example input:

{
  "startUrls": ["nav43.com", "thefatduck.co.uk", "studiodrift.com"],
  "maxPagesPerDomain": 5,
  "defaultCountry": "US",
  "includeSocials": true
}

Output example

{
  "url": "https://nav43.com/",
  "domain": "nav43.com",
  "status": "found",
  "emails": ["contact@nav43.com"],
  "phones": ["+16477940043"],
  "emailDetails": [
    { "email": "contact@nav43.com", "foundOn": "https://nav43.com/", "source": "cloudflare" }
  ],
  "phoneDetails": [
    { "number": "+16477940043", "formatted": "+1 647 794 0043", "country": "CA", "foundOn": "https://nav43.com/", "source": "json-ld" }
  ],
  "linkedin": ["https://linkedin.com/company/nav43"],
  "facebook": ["https://facebook.com/nav43"],
  "instagram": ["https://instagram.com/NAV43digital"],
  "twitter": [],
  "youtube": ["https://youtube.com/channel/UC6mZC3UhZA4r6AKfBt7cYuw"],
  "tiktok": ["https://tiktok.com/@nav43digital"],
  "pinterest": [],
  "whatsapp": [],
  "pagesCrawled": 3,
  "usedProxy": false,
  "error": null
}

(Shortened: real rows can list more LinkedIn profiles found on team pages.)

status is found (at least one email, phone or social link), no-contacts (page loaded, nothing found) or failed (site could not be loaded).

How to use the email extractor (4 steps)

1. Open the Actor and paste your company websites into Websites, one per line.
2. Set the Default country if your targets are not in the US.
3. Leave Max pages per domain at 5, or raise it for bigger sites.
4. Click Start, then download the results as JSON, CSV or Excel from the Output tab, or call it from the API.

Pricing

• $0.001 once per run (start fee).
• $0.002 per domain that returns at least one email, phone number or social link (domain-scraped).
• Domains with status failed or no-contacts are written to the dataset but not charged.

Example	Cost
100 domains, about 75 return data	about $0.15
1,000 domains, about 750 return data	about $1.50
10,000 domains, about 7,500 return data	about $15

Set Max domains or the run's maximum charge to cap spending.

Integrations and scheduling

Use the dataset wherever your leads live:

• Google Sheets, Make, n8n, Zapier: connect the Actor through Apify's integrations and send each finished run's rows to a sheet, a CRM or an email tool.
• Webhooks and API: start runs and fetch results over the Apify API, or get a webhook when a run finishes.
• Apify Schedules: re-run the same task daily, weekly or monthly on a fresh list of domains so new leads keep arriving without manual work.
• AI agents: call it from any agent through the Apify MCP server, input fields and output fields are documented in the schemas.

A simple recurring setup: one scheduled run per week, fed by a new batch of domains from your lead source, writing straight into a Google Sheet.

FAQ

Does it work on every website?

No. It reads the HTML a normal HTTP request returns. Sites that build their pages with JavaScript after loading (some single-page apps and site builders) can come back with no-contacts, and some sites block datacenter traffic even after retrying. In our own test on 44 real small-business and agency sites, 41 loaded; 34 of those (83%) returned at least one email, phone or social link, 27 (66% of loaded sites) returned at least one email, and 7 (17%) returned nothing, which covers JavaScript-only pages and sites that publish no contact details. The other 3 domains did not exist. You are not charged for those.

Do I get every email on a site?

No. It crawls a small number of likely pages (default 5), not the whole site, and only finds addresses that are actually present in the page or its Cloudflare/JSON-LD/obfuscated forms. Contact forms without a published address give no email.

Email finder vs email extractor: which one is this?

This is an email extractor. It reads the pages of the websites you give it and returns the emails, phone numbers and social links that are published there. It is not an email finder in the person-lookup sense: it does not guess or look up a named person's address from their name and company, and it does not query any contact database. If you need that, use a lead database or finder tool; if you already have company domains and want what each company publishes, this is the right tool.

Does it verify that emails are deliverable?

No. It extracts what is published. It does not send mail or check mailboxes. Run the list through an email verification service before a cold campaign.

Can it find personal emails of people at a company?

Only what the company publishes on its own pages (for example jane@company.com on a team page). It does not look people up elsewhere.

Which phone numbers are returned?

Numbers that libphonenumber validates for the country given in the text (or a + prefix). Some invalid or non-phone digit strings may still occasionally slip through, and some real numbers may be skipped.

Why use this instead of a paid email extractor, email finder or lead database?

Those tools sell a database of people, usually billed per seat or per credit. This Actor works differently: it reads the websites you give it and returns only what each company publishes itself, billed per domain that returns data. It is a good fit when you already have a list of domains and want emails, phones and social links, not a pre-built database. If you need contacts at specific job titles or verified addresses, use a lead database or an email verifier alongside it.

What are the best email extractor alternatives?

For a more established general contact scraper, look at Contact Details Scraper, which has a much larger user base. This Actor is a lighter option: HTTP only, no browser, one row per domain, E.164 phone normalisation, and you are only charged for domains that return contact data. If you start from Google Maps instead of a domain list, use a Google Maps scraper (see Related Actors below).

Can I find emails of local businesses without a domain list?

Not with this Actor alone: it needs websites as input. First collect business websites with a Google Maps scraper, then paste them here. Our own Google Maps Scraper returns each place's website, and the combination gives you a local business email list.

Is it legal?

It reads only public web pages, no login, no private data. You are responsible for how you use the contact data, including GDPR, CAN-SPAM and local marketing rules, and for respecting each site's terms.

Related Actors

Actor	What it does
Google Maps Scraper (Places, Phones, Emails)	Find local businesses and their websites, then feed the domains into this Actor
Google Maps Scraper by compass	The most-used Google Maps places scraper on the Store
Google Maps Email Extractor	Google Maps places with contact details from their websites
Contact Details Scraper	General contact scraper for websites, larger user base
Website to Markdown Crawler	Crawl a whole site into clean Markdown for LLMs and RAG
LinkedIn Jobs Scraper	Job postings by keyword, location or company