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Extract Python and Django public contact pages

Extract published emails, phone links and social profiles from two public project websites. Each record preserves its source page. Identical footer contact sets are skipped.

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Website Contact Scraper | Emails, Phones & Social Links
Website Contact Scraper | Emails, Phones & Social Linkssignalfoundryhq/website-contact-extractor
Page url
Emails
Phones
Social links
Text
Number
Boolean
List
Object

Input

Websites or contact-page URLs:https://www.python.org+1
Maximum pages per website:3
Maximum delivered page records:25

Output fields

Page url
Emails
Phones
Social links

How it works

Sign up on Apify or log in

The Website Contact Scraper | Emails, Phones & Social Links Actor is ready to run with the inputs already set for "Extract Python and Django public contact pages". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract Python and Django public contact pages" task

The Website Contact Scraper | Emails, Phones & Social Links Actor will start running based on the input automatically. You can also change all the input fields, like websites or contact-page urls, maximum pages per website, and more, to match your specific use case.

Receive the "Extract Python and Django public contact pages" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as page url, emails, phones, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Extract Python and Django public contact pages" task via API.

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