Empower your data quest! The Social & Email Scraper Apify Actor: your precision-driven solution for effortlessly extracting vital contact details from any webpage. Elevate outreach strategies with ease and conquer web data intricacies.
Meet the Social & Email Scraper Apify Actor! 🚀 It's the ultimate powerhouse in web data extraction, tailored for digital marketers, researchers, and data enthusiasts alike. Imagine effortlessly extracting valuable email addresses and social media links with precision from any webpage you desire. This robust tool is your secret weapon, meticulously scouring URLs to unveil critical contact information. Revolutionize your outreach strategies and forge connections seamlessly. Elevate your data game and conquer the web with ease!
Social & Email Scraper is a tool that scrape social media links (such as facebook, linkedin, facebook, instagram, tiktok and twitter) and emails from inputted list of website.
Regex, a Python library, unlocks the power of precision by capturing specific expressions through patterns. Dive deeper into URLs by customizing your search with personalized regex patterns. Let the actor extract precisely what you seek from your inputted expressions. Explore the realms of specificity and harness the magic of Regex for tailored extractions! 🌟
Utilize sophisticated tools like ChatGPT to generate a regex pattern. For example, let's make a pattern for identifying YouTube channel links. Craft a prompt without the use of quotation marks, directing to 'create a regex pattern to find YouTube channel links.'. The pattern should look like this : https://www.youtube.com/channel/[a-zA-Z0-9_-]+. Not this : "https://www.youtube.com/channel/[a-zA-Z0-9_-]+".
Input your urls separated with a comma or a whiteline(doesn't matter if it's separated by a comma or whiteline) (no limit) and input your regex pattern if you have one (no limit awswell)
1{ 2 "pattern": [ 3 "\\bcontact(?:\\s+us)?\\b", 4 "\\bhome\\b" 5 ], 6 "urls": "https://generalsf.com/, https://edenavowconstruction.com/, https://prosperdevelopment.com/, missionhomeremodeling.com https://www.leefamilycorp.com/." 7}
Here's a visual representation for the urls:
and the patterns :
In this scenario, the pattern is designed to identify and save instances of 'contact-us' or 'home'. These patterns are used for testing purposes.
1[ 2 { 3 "url": "https://generalsf.com/", 4 "emails": [ 5 "info@generalsf.com" 6 ], 7 "facebook": "https://facebook.com/Generalsf", 8 "instagram": "", 9 "tiktok": "", 10 "twitter": "", 11 "linkedin": "", 12 "phone": [ 13 "tel:+16503031515" 14 ], 15 "pattern_1": [ 16 "contact" 17 ] 18 }, 19 { 20 "url": "https://edenavowconstruction.com/", 21 "emails": [ 22 "ciarandowler@edenavow.com" 23 ], 24 "facebook": "https://facebook.com/2008", 25 "instagram": "", 26 "tiktok": "", 27 "twitter": "", 28 "linkedin": "", 29 "phone": "" 30 }, 31 { 32 "url": "https://prosperdevelopment.com/", 33 "emails": [ 34 "prosper@prosperdevelopment.com", 35 "binatdigital@gmail.com" 36 ], 37 "facebook": "", 38 "instagram": "", 39 "tiktok": "", 40 "twitter": "", 41 "linkedin": "", 42 "phone": "", 43 "pattern_1": [ 44 "contact" 45 ], 46 "pattern_2": [ 47 "home" 48 ] 49 }, 50 { 51 "url": "https://missionhomeremodeling.com", 52 "emails": [ 53 "info@missionhomeremodeling.com" 54 ], 55 "facebook": "", 56 "instagram": "", 57 "tiktok": "", 58 "twitter": "", 59 "linkedin": "", 60 "phone": "", 61 "pattern_1": [ 62 "contact" 63 ], 64 "pattern_2": [ 65 "home" 66 ] 67 }, 68 { 69 "url": "https://www.leefamilycorp.com/", 70 "emails": [ 71 "leefamilycorp@gmail.com" 72 ], 73 "facebook": "https://facebook.com/2008", 74 "instagram": "", 75 "tiktok": "", 76 "twitter": "", 77 "linkedin": "", 78 "phone": "", 79 "pattern_2": [ 80 "home" 81 ] 82 } 83]
When 'pattern_1' and 'pattern_2' are absent, it indicates that the pattern instances have not been matched.
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Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!