Contact Details Scraper

What does Contact Details Scraper do?

Give it any website and it returns the contact details published on it — email addresses, phone numbers, postal addresses, and links to the company's social media profiles.

It reads the site the way a person would: it looks at the page you give it, then follows links to find the contact, about and imprint pages where these details usually live. Paste a domain, press Start, and download the result as JSON, CSV or Excel — or pull it straight from the Apify API.

Why use Contact Details Scraper?

• Build a lead list — collect emails and phone numbers for a list of companies in one run.
• Enrich a CRM — fill in missing contact details for accounts you already have.
• Find the right inbox — get sales@, support@ and press@ addresses instead of guessing.
• Collect social profiles — grab a company's LinkedIn, Instagram and X accounts at the same time.
• Check your own site — see exactly which contact details are exposed publicly.

How to use Contact Details Scraper

1. Enter one or more websites. A bare domain like stripe.com is fine.
2. Set Maximum pages per website — 10 is usually plenty.
3. Click Start.
4. When the run finishes, open the Output tab to preview the data or export it.

Input

Field	Type	Required	Description
Websites (start_urls)	array	Yes	The sites to scrape.
Maximum pages per website (max_pages_per_site)	integer	No	How many pages to read per site. Default 10.
How deep to follow links (max_depth)	integer	No	0 reads only the page given, 1 also reads pages linked from it. Default 2.
Stay on the same website (stay_on_site)	boolean	No	Follow only same-site links. On by default.
Phone number countries (phone_regions)	string	No	Country codes used to read phone numbers, e.g. US,GB,DE.
Also output a row per page (output_per_page)	boolean	No	Adds a row per page showing where each detail came from. Off by default.
Proxy configuration (proxyConfiguration)	object	No	Optional. Most sites need no proxy.

Example input:

{
  "start_urls": ["https://stripe.com", "apify.com"],
  "max_pages_per_site": 10,
  "phone_regions": "US,GB,DE"
}

Output

One row per website:

{
  "website": "https://stripe.com/",
  "domain": "stripe.com",
  "pages_crawled": 8,
  "emails": ["sales@stripe.com", "dpo@stripe.com", "privacy@stripe.com"],
  "emails_on_domain": ["sales@stripe.com", "dpo@stripe.com"],
  "emails_third_party": [],
  "phones": ["+18889262289"],
  "phones_detail": [
    { "number": "+18889262289", "national": "(888) 926-2289", "country_code": 1, "source": "page text" }
  ],
  "addresses": ["510 Townsend Street, San Francisco, CA 94103"],
  "linkedin": ["https://www.linkedin.com/company/stripe"],
  "facebook": ["https://www.facebook.com/StripeHQ"],
  "twitter": ["https://x.com/stripe"],
  "instagram": [],
  "youtube": [],
  "tiktok": [],
  "record_type": "site"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data fields

Field	Description
website	The site that was scraped.
domain	Its domain, handy as a key when merging with other data.
pages_crawled	How many pages were read to produce this row.
emails	Every email address found.
emails_on_domain	Only addresses on the company's own domain — usually the ones you want.
emails_third_party	Addresses belonging to tools the site uses, such as a chat widget.
phones	Phone numbers in international format.
phones_detail	The same numbers with their local formatting and country code.
addresses	Postal addresses, where the site marks them up as such.
linkedin, facebook, instagram, twitter, youtube, tiktok, pinterest, telegram, whatsapp, github	Social profile links, one column per network.
record_type	site for the merged row, page for per-page rows.

How accurate is it?

Phone numbers are checked against real numbering rules for the countries you list, so dates, prices and product codes do not come through as phone numbers. Emails are filtered against filenames and placeholder addresses, so things like logo@2x.png and you@example.com are dropped.

Postal addresses are only returned where a site marks them up properly. Guessing addresses out of ordinary page text produces far more noise than signal, so it is not attempted.

How much does it cost to scrape contact details?

Very little. Three websites, eight pages each, took twenty-one seconds and cost about a tenth of a cent.

Tips

• Ten pages per site is usually enough. Contact pages are visited first, so raising the limit rarely finds more.
• List the countries you expect in Phone number countries — it makes phone detection noticeably more accurate.
• Use emails_on_domain when building a lead list, to skip addresses belonging to the site's vendors.

FAQ and support

Why did a site return no email? Many companies publish only a contact form. If there is no address on the page, there is nothing to find.

Can it find personal email addresses? It returns only what is published openly on the website, which is normally a company inbox.

Is scraping contact details legal? This Actor collects only publicly available data. Contact details can be personal data, and in many places — including under GDPR — you need a lawful basis to collect and use them, especially for marketing. You are responsible for how you use what it returns. If in doubt, take legal advice.

Found a bug, or need a field that is not here? Open an issue on the Issues tab.

SEO Keywords

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