Website Contact Info Extractor (Emails, Phones, Socials)

$4 per 1,000 websites read · no login or API key · failed/blocked sites are free · CSV, Excel, JSON or API.

Turn a list of websites into a B2B contact list: for every site the Actor reads the homepage plus the most relevant contact pages (Contact, About, Impressum / Imprint, Team, Support, Legal notice) and extracts email addresses, phone numbers, social media profiles (LinkedIn, Facebook, Instagram, X/Twitter, YouTube, TikTok, Pinterest, GitHub, WhatsApp, Telegram, Threads), the contact page URL, whether there is a contact form, the company name and postal address (from schema.org data), plus the email provider (Google Workspace, Microsoft 365, ...) from MX records.

• Pay only for websites that could be read. Unreachable sites, sites blocked by anti-bot protection, sites whose robots.txt disallows crawling, invalid URLs and duplicates are free.
• Same price no matter how many pages (up to 10) are checked per website.
• Fast and cheap: plain HTTP requests, no headless browser - dozens of websites per minute on 1 GB memory (the default).
• Clean output: one row per website, with a primary email and phone, emails sorted by relevance (own-domain role addresses like info@ / sales@ first), phone numbers normalised to international E.164 format, flags for role/free-mail/own-domain emails, and the page where each email was found.

How much does it cost?

You pay $0.004 per website successfully read (status ok) plus a tiny start fee per run. Failed websites (unreachable, blocked, robots.txt-disallowed, invalid, duplicates) are free. The price is the same whether 1 or 10 pages are checked per site.

Websites read	Cost
100	$0.40
1,000	$4.00
10,000	$40.00
Failed / blocked sites	$0

Try it free: the Apify Free plan includes $5 of platform credit every month, enough for about 1,200 websites. If a run hits your "Maximum cost per run" limit or your remaining credit, the Actor stops gracefully: everything already found stays in the dataset, and the websites that were not processed are saved as NOT_PROCESSED_WEBSITES in the key-value store so you can run them later.

Use cases

• Lead generation & sales prospecting - enrich a list of company websites (from Google Maps, directories, trade-show exhibitor lists, CRM exports) with emails, phones and LinkedIn pages.
• CRM data enrichment & cleanup - fill in missing emails, phone numbers and social links for existing accounts; detect Google Workspace vs Microsoft 365 users.
• Local business outreach - restaurants, clinics, agencies, shops: find the contact email, phone, contact form and Instagram/Facebook page.
• Influencer & partnership research - collect social profiles of brands and publishers in bulk.
• Market research - which companies in a niche offer a contact form, WhatsApp chat or public phone line.

Input example

Works best on small and medium business websites - restaurants, dental and medical clinics, law firms, real estate agencies, plumbers and other trades, local shops, agencies - which usually publish an email, phone number and social links on their homepage or contact page.

{
  "websites": ["joesstonecrab.com", "katzsdelicatessen.com", "zingermans.com", "levainbakery.com", "https://www.sightglasscoffee.com"],
  "maxPagesPerDomain": 4,
  "includeDns": true,
  "sameDomainEmailsOnly": true
}

In our test run (2026-10-19) on these five local food businesses, all five were read, all five returned an own-domain email (e.g. service@zingermans.com, hello@sightglasscoffee.com) and four returned a phone number in E.164 format - total cost $0.02.

Tips:

• Domains, full URLs or www. hosts all work; each website is processed and charged once.
• Set sameDomainEmailsOnly to keep only addresses on the site's own domain (drops agency, free-mail and third-party emails).
• Use it after a Google Maps / directory scraper: feed the website column in and join the results back by domain.

Use with Google Maps scraper

The most common workflow: find local businesses on Google Maps, then get their emails and social profiles from their websites.

1. Run a Google Maps scraper (for example Google Maps Scraper) for your search, e.g. "dentist in Austin, TX".
2. Export the results (CSV / Excel / JSON) and copy the website column. Empty cells are fine to skip; duplicates are removed and charged only once.
3. Paste the list into Websites here (one per line), or pass it through the API as {"websites": [...]}.
4. Join the output back to your Maps export by domain (or input). You now have name, address and rating from Maps plus email, phone, contact page and Instagram/Facebook/LinkedIn from the website.

You can automate this with Apify integrations: add a webhook or "Run Actor" integration on the Maps scraper that starts this Actor with the dataset's website URLs.

Output example

Real output from a test run on 2026-09-27:

{
  "input": "joesstonecrab.com",
  "domain": "joesstonecrab.com",
  "url": "https://www.joesstonecrab.com/",
  "status": "ok",
  "companyName": "Joe's Stone Crab",
  "primaryEmail": "info@joesstonecrab.com",
  "emails": [
    "info@joesstonecrab.com"
  ],
  "emailCount": 1,
  "primaryPhone": "+13056730365",
  "phones": [
    "+13056730365",
    "+13056734611",
    "+13056739035"
  ],
  "contactPageUrl": "https://www.joesstonecrab.com/contact/",
  "hasContactForm": true,
  "facebook": "https://www.facebook.com/JoesStoneCrab",
  "instagram": "https://www.instagram.com/joesstonecrab",
  "linkedin": null,
  "x": null,
  "youtube": null,
  "tiktok": "https://www.tiktok.com/@joesstonecrab_",
  "pinterest": null,
  "github": null,
  "whatsapp": null,
  "telegram": null,
  "threads": null,
  "socialProfiles": {
    "facebook": [
      "https://www.facebook.com/JoesStoneCrab",
      "https://www.facebook.com/people/Joes-Take-Away/61559644092931",
      "https://www.facebook.com/JoesStoneCrab",
      "https://www.facebook.com/JoesStoneCrab"
    ],
    "instagram": [
      "https://www.instagram.com/joesstonecrab",
      "https://www.instagram.com/joestakeaway__"
    ],
    "tiktok": [
      "https://www.tiktok.com/@joesstonecrab_"
    ]
  },
  "address": null,
  "emailProvider": [
    "Microsoft 365"
  ],
  "hasMx": true,
  "emailDetails": [
    {
      "email": "info@joesstonecrab.com",
      "sameDomain": true,
      "role": true,
      "freemail": false,
      "sourceUrl": "https://www.joesstonecrab.com/location/joes-stone-crab/"
    }
  ],
  "phoneDetails": [
    {
      "phone": "+13056730365",
      "source": "tel-link"
    },
    {
      "phone": "+13056734611",
      "source": "tel-link"
    },
    {
      "phone": "+13056739035",
      "source": "tel-link"
    }
  ],
  "emailsObfuscated": false,
  "pagesVisited": [
    "https://www.joesstonecrab.com/",
    "https://www.joesstonecrab.com/contact/",
    "https://www.joesstonecrab.com/location/joes-take-away/",
    "https://www.joesstonecrab.com/location/joes-stone-crab/"
  ],
  "pagesSkippedByRobots": [],
  "robotsTxt": "found",
  "checkedAt": "2026-09-27T12:22:27+00:00",
  "errors": []
}

Every dataset can be exported as CSV, Excel, JSON or XML, or sent to Google Sheets, HubSpot, Zapier, Make and webhooks via Apify integrations. The Overview table is flat (one column per social network) and CSV-friendly. A run summary is stored in the key-value store as RUN_SUMMARY.

Pricing

Pay per event, no monthly fee:

• a small fee per run start, and
• a fee per website successfully read (status ok), regardless of how many pages were checked or how many contacts were found.

Not charged: unreachable, blocked, robotsDisallowed, httpError, noHtml, invalid, error and duplicate inputs. See the cost table above and the Pricing tab for current prices.

If you set Maximum cost per run, the Actor never exceeds it: it stops starting new websites when the budget is used, finishes cleanly with a status message, and lists the unprocessed websites in NOT_PROCESSED_WEBSITES.

How it works & limitations

• Pages are fetched with plain HTTP (no JavaScript rendering). Sites that build their content only with JavaScript may return fewer contacts.
• robots.txt is respected (RFC 9309) and requests to one website are made one after another with a short pause.
• No anti-bot bypass: pages behind Cloudflare / captcha challenges are reported as blocked and not charged. Emails hidden by Cloudflare email obfuscation are not decoded; emailsObfuscated: true tells you they exist.
• Phone numbers come from tel: links, schema.org data and visible text (validated with Google's libphonenumber); phoneDetails[].source shows which. Text-found numbers can occasionally be fax or registry numbers.
• Placeholder and technical addresses (example.com, sentry, image file names such as logo@2x.png, hashes) are filtered out.

Data protection

The Actor only collects information that the website owners publish on their own public pages. Business contact data can still be personal data (e.g. firstname@company.com). You are responsible for processing the results lawfully - for example under GDPR (legitimate interest assessment, information duties, opt-out) and anti-spam rules such as CAN-SPAM and PECR - and for respecting each website's terms. Role addresses are flagged with role: true to help you prefer generic company contacts.

FAQ

How many pages per website are checked? By default the homepage plus up to 3 contact-related pages (maxPagesPerDomain: 4, max 10). The price is the same.

Does it find personal emails of employees? Only if they are published on the website. It does not guess or generate email addresses and does not verify mailboxes.

Can I schedule it or call it from my app? Yes - use Apify schedules, the REST API, or integrations (Zapier, Make, n8n, webhooks).

Why is a website blocked? It served an anti-bot challenge. We do not bypass such protections; you are not charged.

Feedback, reviews and support

• Found it useful? Please leave a review on the Actor page - it helps other users find it and helps us keep improving it.
• Problem with a run? Open an issue on the Issues tab, or use "Share run with developer" in the run's menu so we can see the log and input. We usually fix reports quickly.
• Missing a field or a website type that does not work well? Tell us in an issue.

Keywords

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