Extract contact information from a list of websites.
Get the following contact details:
The actor offers several input options to let you specify which pages will be crawled:
www.example.com
is not the same
as www.another-domain.com
.The actor also accepts additional input options that let you specify proxy servers, limit the number of pages, etc.
The actor stores its results into the default dataset associated with the actor run. You can then download the results in formats such as JSON, HTML, CSV, XML, or Excel. For each page crawled, the following contact information is extracted (examples shown):
1noone@example.com 2no.one@example.com 3no+one@example.co.in
<a href='tel://123456789'>phone</a>
).
1123456789 2+123456789 300123456789
1+123.456.7890 2123456789 3123-456-789
1https://www.linkedin.com/in/mercedes-benz-group-ag 2en.linkedin.com/in/mercedes-benz-group-ag 3linkedin.com/in/mercedes-benz-group-ag
1https://www.twitter.com/mercedesbenz 2twitter.com/mercedesbenz
1https://www.instagram.com/mercedesbenz_careers 2www.instagram.com/mercedesbenz_careers/ 3instagr.am/mercedesbenz_careers
1https://www.facebook.com/mercedesbenzcareers 2facebook.com/mercedesbenzcareers 3fb.com/mercedesbenzcareers 4https://www.facebook.com/profile.php?id=99999000
The results also 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 the page was found).
For each page crawled, the resulting dataset contains a single record, which looks like this (in JSON format):
1{ 2 "url": "https://group.mercedes-benz.com/investors/services/contact/", 3 "domain": "mercedes-benz.com", 4 "requestUrl": "https://group.mercedes-benz.com/investors/services/contact/", 5 "depth": 2, 6 "referrerUrl": null, 7 "startUrl": "http://group.mercedes-benz.com/en/", 8 "emails": [ 9 "alexander.jasperneite@mercedes-benz.com", 10 "andreas.kusche@mercedes-benz.com", 11 "christian.ck.keller@mercedes-benz.com", 12 "dialog@mercedes-benz.com", 13 "ellen_christin.haehnlein@mercedes-benz.com", 14 "investorportal@computershare.de", 15 "ir.mbg@mercedes-benz.com", 16 "na.rothenberg@mercedes-benz.com", 17 "patrick.odermatt@mercedes-benz.com" 18 ], 19 "phones": [ 20 "+4989309036376" 21 ], 22 "phonesUncertain": [ 23 "+49 89 30903", 24 "0800 324 1111", 25 "32 12 81 763", 26 "711 17 94075" 27 ], 28 "linkedIns": [ 29 "https://www.linkedin.com/company/mercedes-benz-group-ag" 30 ], 31 "twitters": [ 32 "https://twitter.com/mercedesbenz" 33 ], 34 "instagrams": [ 35 "https://www.instagram.com/mercedesbenz_careers" 36 ], 37 "facebooks": [ 38 "https://www.facebook.com/mercedesbenzcareers" 39 ], 40 "youtubes": [ 41 "https://www.youtube.com/user/mercedesbenztv" 42 ], 43 "tiktoks": [ 44 "https://www.tiktok.com/@mercedesbenz" 45 ], 46 "pinterests": [], 47 "discords": [] 48}
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!