Website Email Scraper - Contact Details, Phones & Socials

What does Website Email & Contact Details Scraper do?

Give it company or business websites (URLs or bare domains) and get one clean record per website:

• 📧 Emails: mailto: links, addresses written in the text, obfuscated addresses ("info [at] firm [dot] de", "info(at)firm.de") and Cloudflare-protected emails (decoded). Lower-cased, de-duplicated, and junk is filtered out: image file names such as logo@2x.png, placeholder and example addresses (you@example.com, name@domain.com), error-tracking IDs and no-reply addresses.
• 📞 Phone and fax numbers in international format (+12122542246), from tel: links, schema.org data and the page text. Every number is checked with Google's libphonenumber rules for its country, and numbers in text are only taken after a label ("Tel:", "Phone", "電話"...), in international format, or in a typical phone layout, so order numbers, dates and prices are not picked up.
• 👥 Social profiles: Facebook, X, LinkedIn, Instagram, YouTube, TikTok, GitHub, Pinterest, Threads, Trustpilot, Discord, Telegram and WhatsApp. Only real profile URLs count (share buttons, posts and videos are ignored), and default profiles from website templates (e.g. facebook.com/wix) are skipped.
• 🏢 Organization name, logo and postal address from the site's schema.org data (JSON-LD or Microdata: Organization, LocalBusiness, Restaurant, Dentist...).
• 📝 Contact form URL: the page with a contact form (HTML forms with a message box, or HubSpot, Contact Form 7, Typeform, Jotform and other embeds).
• 🔎 Where each value was found: the page and the method (mailto, text, obfuscated, cloudflare, jsonld, tel-link), plus the list of pages checked.

For each website it reads the home page plus likely contact pages: contact, imprint/Impressum, locations, about, team, support and legal pages (in English, German, French, Spanish, Italian, Dutch, Japanese, Chinese and Korean wording), up to 5 pages by default.

Use cases

• Lead generation: turn a list of company domains into emails, phone numbers and social profiles
• Enrich Google Maps or directory results: add emails and socials to businesses that only list a website
• CRM clean-up: find current contact details and social accounts for your accounts
• Outreach research: find the press, sales or support address of each company

How much does it cost?

Event	Price
Processed website	$2.00 / 1,000 websites ($0.002 each)

Example: 2,000 websites, of which 1,500 have at least one contact, cost 1,500 × $0.002 = $3.00; the other 500 are free.

No start fee. One price per website, whether 1 or 20 pages are read. You pay only when at least one email, phone number or social profile is found. Websites with nothing found, unreachable websites (they carry an errorType: blocked, network, not_found, timeout…), invalid lines and duplicates are free. Every row has charged: true or false. Higher Apify plans get volume discounts (see the Pricing tab).

Control your cost

• Before anything is read, the run logs its plan: the number of websites × the price = the most the run can cost, compared with your maximum charge per run.
• Charged: a website where at least one email, phone number or social profile was found ($0.002).
• Free: websites with nothing found, unreachable or blocked websites, lines that are not a website (e.g. a company name such as "Acme Inc"), and duplicates: acme.com, www.acme.com and acme.com/en are one website, charged once. There is no extra charge from us for more pages, the browser fallback or our own network; only an Apify Proxy you choose yourself is billed by Apify.
• Maximum charge per run: set it in the run options (Console) or with maxTotalChargeUsd (API). When the next website could exceed it, no new website is started; the run ends with status LIMIT_REACHED, and the SUMMARY record lists the websites not processed (notProcessed: the count and up to 100 inputs) so you can run them again with a higher limit.
• If Apify restarts the run (server migration or Resurrect), items already finished are skipped and not charged again (SUMMARY.resumedSkipped).

Price comparison (checked September 2026)

Actor	Price	Cost for 1,000 websites at 5 pages each
Website Contact Details & Social Media Extractor (this Actor)	$0.002 per website with contacts found	$2 at most (websites with nothing found are free)
vdrmota/contact-info-scraper	$0.002 per page scraped	$10
compass/crawler-google-places, contacts add-on	$0.002 per place, only inside a new Google Maps scrape (plus $0.004 per place scraped)	$2 for contacts (+ $4 for the places)

vdrmota/contact-info-scraper is the most used Actor in this category (about 2,260 users in the last 30 days when we checked) and can follow links more deeply; it charges per page. This Actor charges per website where something was found and picks the likely contact pages for you.

How to use it

1. Paste domains or website URLs into Domains or websites, one per line (a column copied from a spreadsheet works). Blank lines are ignored; a line that is not a website, such as a company name, gets one invalid_input row and is not charged. Or pick another run's dataset (see below).
2. Optionally change Pages per website (1–20, default 5).
3. Click Start and export the results as JSON, CSV or Excel.

Output example (real result, September 2026)

{
    "input": "stumptowncoffee.com",
    "inputIndex": 0,
    "url": "https://stumptowncoffee.com/",
    "domain": "stumptowncoffee.com",
    "finalUrl": "https://www.stumptowncoffee.com/",
    "success": true,
    "organizationName": "Stumptown Coffee Roasters",
    "primaryEmail": "info@stumptowncoffee.com",
    "primaryPhone": "+18777113385",
    "emailsText": "info@stumptowncoffee.com, legal@stumptown.com, customerservice@stumptown.com",
    "phonesText": "+18777113385, +18332672844, +18557113385",
    "emails": ["info@stumptowncoffee.com", "legal@stumptown.com", "customerservice@stumptown.com"],
    "phones": ["+18777113385", "+18332672844", "+18557113385"],
    "faxes": [],
    "socialProfiles": {
        "instagram": "https://www.instagram.com/stumptowncoffee",
        "facebook": "https://www.facebook.com/stumptowncoffee",
        "x": "https://twitter.com/stumptowncoffee",
        "youtube": "https://www.youtube.com/channel/UC0yk_H5Np-uGvy98UM-jj6w",
        "tiktok": "https://www.tiktok.com/@stumptowncoffee",
        "pinterest": "https://www.pinterest.com/stumptowncoffee"
    },
    "address": "700 SW 5th Ave, 3rd Floor, #400, 97214 Portland, OR",
    "logo": "https://customers.seomanager.com/knowledgegraph/logo/stumptowncoffee_myshopify_com_logo.png",
    "contactFormUrl": null,
    "emailDetails": [
        { "email": "info@stumptowncoffee.com", "page": "https://www.stumptowncoffee.com/", "method": "jsonld", "sameDomain": true, "mailbox": "role" },
        { "email": "legal@stumptown.com", "page": "https://www.stumptowncoffee.com/pages/terms-and-conditions", "method": "text", "sameDomain": false, "mailbox": "role" }
    ],
    "phoneDetails": [
        { "number": "+18777113385", "display": "877-711-3385", "national": "(877) 711-3385", "country": "US", "type": "phone", "page": "https://www.stumptowncoffee.com/", "method": "jsonld" }
    ],
    "pagesChecked": [
        { "url": "https://www.stumptowncoffee.com/", "kind": "home", "via": "direct", "httpStatus": 200 },
        { "url": "https://www.stumptowncoffee.com/pages/contact-us", "kind": "contact", "via": "direct", "httpStatus": 200 },
        { "url": "https://www.stumptowncoffee.com/pages/locations", "kind": "locations", "via": "direct", "httpStatus": 200 },
        { "url": "https://www.stumptowncoffee.com/pages/our-story", "kind": "about", "via": "direct", "httpStatus": 200 },
        { "url": "https://www.stumptowncoffee.com/pages/terms-and-conditions", "kind": "legal", "via": "direct", "httpStatus": 200 }
    ],
    "charged": true,
    "via": "direct"
}

A German restaurant (hofbraeuhaus.de) returned willkommen@hofbraeuhaus.de (mailto link), +4989290136100 (written as "+49 (0)89 – 290 136 100" in the text) and its Facebook and Instagram profiles. A Munich food retailer (dallmayr.com) returned info@dallmayr.de, decoded from Cloudflare's email protection.

For spreadsheets and CRMs, primaryEmail is an email on the website's own domain (else the first email), a role mailbox such as info@, contact@, hello@ or sales@ before a person's address, primaryPhone the first phone number (not a fax), and emailsText / phonesText hold all of them separated by commas. input is the line you gave; when several lines were the same website they are merged into one row and listed in inputs (a page path such as hofbraeuhaus.de/en is read as an extra page, kind: "given"). Emails on the website's own domain come first (sameDomain: true); others (a parent company, an agency, a data-protection officer) follow. mailbox in emailDetails is role for known shared inboxes (info@, sales@, support@, press@…) and other for the rest (often a person's address, but not always), so you can filter shared inboxes out or in. Profiles linked only once, e.g. from a blog post, are not reported as the company's own. via says where each page was read from: direct (Apify's network), backend (our servers) or browser. A SUMMARY record in the key-value store has the run status (SUCCESS, PARTIAL_RESULTS, FAILED, NO_RESULTS, LIMIT_REACHED) and counts of websites with emails, phones and social profiles, charged websites, invalid lines and merged duplicates.

Find contacts for a Google Maps (or any) dataset

Set Dataset ID to the dataset of another run, Dataset field to the field with the website (e.g. website) and, optionally, Dataset fields to keep (e.g. title, placeId). Each output row then carries datasetItemIndex and a source object with those fields, so it maps back to the place it came from.

{ "datasetId": "YOUR_DATASET_ID", "datasetField": "website", "datasetKeepFields": ["title", "placeId"] }

Every item of the dataset gets exactly one output row, so a Google Maps export joins back 1:1 (by datasetItemIndex or a kept field such as placeId):

• A place without a website gets a row with errorType: "no_website" (not charged).
• A place whose "website" is an Instagram, Facebook, Yelp, Linktree or similar page is not read as a company website (that would return the platform's own details): its row has errorType: "not_a_website", the profile in socialProfiles, and is not charged.
• Branches of a chain that share one website are read and charged once; each other branch gets a copy of the result with its own source, charged: false and duplicateOf.
• When a website redirects to a different domain (for example an expired domain now parked on a directory), the row has redirectedTo and a warning: the details found may belong to that other site.

Real example (September 30, 2026). 30 Google Maps places from compass/crawler-google-places (10 coffee shops in Portland, 10 dentists in Austin, 10 bakeries in Munich), with datasetKeepFields: ["title", "placeId"]:

Result	Places
Output rows (one per place, each with its placeId)	30 of 30
No website on Google Maps	1 (free)
Instagram or Facebook page instead of a website	3 (free, profile returned)
Website no longer exists	2 (free)
Websites read with contacts found (charged)	24
… with an email	21 (70% of all places, 88% of the websites read)
… with a social profile	23

Cost: 24 × $0.002 = $0.048 (about $1.60 per 1,000 places); run time 12 seconds. Google Maps already lists a phone number for almost every place, so the email and the social profiles are what this step adds.

Use with AI agents (MCP)

Connect Apify's MCP server (https://mcp.apify.com?tools=tidytools/website-contact-extractor) to Claude, Cursor or any MCP client, then ask e.g. "Find the emails, phone numbers and social profiles of these 30 companies."

{ "domains": ["stumptowncoffee.com", "hofbraeuhaus.de"] }

Websites with nothing found and unreachable websites are not charged; failed rows carry an errorType.

Use it from code

curl -X POST "https://api.apify.com/v2/acts/tidytools~website-contact-extractor/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"domains":["stumptowncoffee.com"]}'

Send websites in domains (plain strings; bare domains work). The URL-list field startUrls is also accepted, but Apify rejects the whole run (HTTP 400) when it holds a bare domain or a blank line.

Need industry, a one-line description and a country guess as well? See Company Website Enrichment by tidytools.

Schedules and integrations: run it daily or weekly with Apify Schedules, get a webhook when a run finishes, or send the results to Zapier, Make, n8n, Google Sheets, Slack and other apps with Apify integrations. Results can be exported as JSON, CSV, Excel or XML.

Advanced settings

• Plain HTTP requests from: Auto (recommended) reads pages from Apify's network first, because the raw HTML is needed for Cloudflare-protected emails and contact forms, then from our servers, then with a real browser. JavaScript-only home pages are read with a browser automatically.
• Time limit per website (default 120 seconds): after it, no further pages of that website are started and the pages read so far are returned (the skipped ones are listed in timedOutPages). If even the home page could not be read in time, the website fails with errorType: "timeout" (not charged).
• Proxy: optional Apify Proxy for requests sent from Apify's network (billed to your Apify account).

Limitations

• Only public pages; nothing behind a login. Sites with strong bot protection can stay unreachable (not charged); a residential proxy may help.
• Values are what the website shows. Phone numbers written without a country code are read with the site's likely country (address, international numbers on the site, domain ending, language), which can be wrong for multi-country sites.
• Email addresses shown only as images, or only inside a contact form, cannot be found.
• Store directories can list many numbers (e.g. one per branch); all of them are returned, each with its page.
• The Actor reads a handful of pages per site, not the whole site.

Responsible use

• The Actor reads only information that a company publishes on its own public website (business emails, phone numbers, social profiles, address). It does not guess, generate or verify personal email addresses, and it does not log in anywhere.
• You are responsible for how you use the results: follow the data-protection and anti-spam laws that apply to you and to the people you contact (for example GDPR in the EU/UK, CAN-SPAM in the US, CASL in Canada), and respect each website's terms.
• Business contact details can still be personal data (e.g. a named employee's email). Keep only what you need and honour opt-out requests.

FAQ

Which pages does it read on each website? The home page plus likely contact pages: contact, imprint/Impressum, locations, about, team, support and legal pages, up to 5 pages by default.

Do I pay for websites where nothing is found? No. You pay only when at least one email, phone number or social profile is found. Unreachable websites, invalid lines and duplicates are free too.

Can it add emails to Google Maps results? Yes. Pass the dataset ID of a Google Maps (or any) run and the field that holds the website; the fields you choose, such as placeId, are copied to each row.

Can it find emails that are hidden from bots? Often, yes: obfuscated addresses such as "info [at] firm [dot] de" and Cloudflare-protected emails are decoded. Addresses shown only as images or only inside a contact form cannot be found.

Support

Open an issue in the Issues tab with the website. Issues are checked regularly.