How to Extract Emails From a Website List (Plus Phones and Socials)
To extract emails from a website, open its home, contact, imprint and about pages and copy the addresses published there. For one site, do it by hand. For a list of hundreds of company websites, run a contact details scraper that visits those pages for you and returns one row per website with emails, phone numbers, social links and the exact page each email and phone number came from, so you can…
To extract emails, phone numbers, and social links from a list of websites, there are three options: manual extraction, a DIY script, or a hosted tool. Manual extraction involves visiting each website's home, contact, imprint, and about pages to copy the published addresses. This method is free but slow, especially for a list of 500 domains.
A DIY script using Python can automate the process, but it has limitations. The script can only access the home page, may miss contact pages, and could pick up false positives like image file names or placeholder addresses. It cannot extract phone numbers or social profiles and cannot differentiate between real pages and bot challenge pages.
A hosted tool, such as the Contact Details Scraper for Websites, provides a more comprehensive solution. This tool runs on Apify, processes a list of URLs or bare domains, and charges only for websites where contact information is found. The scraper ranks same-site links, prioritizes contact and legal pages, and reads up to 5 pages per website by default.
It extracts emails from mailto: links, visible text, and Cloudflare-obfuscated addresses, cleans and deduplicates the data, and extracts phone numbers and social profile links. Duplicate domains are skipped, and the tool does not charge for pages that show contact details after JavaScript runs or are behind bot challenges.
To use the hosted tool, input a list of company websites, set preferences for email filters, and start the run. The output includes a dataset with each website's domain, status, emails, and phone numbers. This data can be exported as JSON, CSV, or Excel or read through the API.
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