Contact Information Scraper

The actor crawls specified websites and extracts the following contact information from the web pages:

• Email addresses
• Phone numbers (from phone links or extracted from text)
• LinkedIn profiles
• Twitter handles
• Instagram profiles
• Facebook user profiles or pages

The actor is useful for automated searching for company contact details, profiling of leads and marketing campaigns. It supports both crawling of a list of URLs as well as recursive crawling of websites by adding new links as they are found.

Input Configuration

On input, the actor has several input options that specify which pages shall be crawled:

• Start URLs - A list of URLs of web pages where the crawler should start. You can enter multiple URLs, a text file with URLs or even a Google Sheets document.
• Maximum link depth - Specifies how many links away from the web pages specified in Start URLs shall the crawler visit. If zero, the actor ignores the links and only crawls the Start URLs.
• Stay within domain - If enabled, the actor will only follow links that are on the same domain as the referring page. For example, if the setting is enabled and the actor finds on page http://www.example.com/some-page a link to http://www.another-domain.com/, it will not crawl the second page, since www.example.com is not the same as www.another-domain.com.

Note that the actor accepts additional input options that let you specify proxy servers, limit the number of pages etc. See Input for details.

Results

The actor stores its results into the default dataset associated with the actor run, from where they can be downloaded in formats like JSON, HTML, CSV or Excel. For each page crawled, the following contact information is extracted (including examples):

• Emails

  alice@example.com
  bob.newman@example.com
  carl+test@example.co.uk

• Phone numbers - These are extracted from phone links in HTML (e.g. <a href='tel://123456789'>phone</a>)

  123456789
  +123456789
  00123456789

• Uncertain phone numbers - These are extracted from the plain text of the web page using a number regular expressions. Note that due to the nature of the method, there might be false positives.

  +123.456.7890
  123456789
  123-456-789

• LinkedIn profiles

  https://www.linkedin.com/in/alan-turing
  en.linkedin.com/in/alan-turing
  linkedin.com/in/alan-turing

• Twitter profiles

  https://www.twitter.com/apify
  twitter.com/apify

• Instagram profiles

  https://www.instagram.com/old_prague
  www.instagram.com/old_prague/
  instagr.am/old_prague

• Facebook profiles or pages

  https://www.facebook.com/apifytech
  facebook.com/apifytech
  fb.com/apifytech
  https://www.facebook.com/profile.php?id=123456789

Additionally, the results contain information about the URL of the web page, domain, and referring URL (if the page was linked from another page), and depth (how many links away from Start URLs was the page found).

For each page crawled, the resulting dataset contains a single record, which looks as follows (in JSON format):

{
  "url": "http://www.robertlmyers.com/index.html",
  "domain": "robertlmyers.com",
  "depth": 2,
  "referrerUrl": "http://www.robertlmyers.com",
  "emails": [
    "info@robertlmyers.com"
  ],
  "phones": [],
  "phonesUncertain": [
    "717.393.3643"
  ],
  "linkedIns": [],
  "twitters": [],
  "instagrams": [],
  "facebooks": [
    "https://www.facebook.com/robertlmyers/"
  ]
}

Notes

The actor is built using Social utils from the Apify SDK. If you need to have more control about the crawling and data extraction process, you can relatively easily build a new actor using the Apify SDK. For more details, see Actors documentation. You can also read more about this particular actor in our blogpost.