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Scrape Imprints & Company Data by Google Search Term

An AI-powered Apify Actor that finds and scrapes German website Impressum pages to extract contact details at scale. Start from url or search terms!

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✨ German Imprint Scraper & Leads Finder (Google Search)
✨ German Imprint Scraper & Leads Finder (Google Search)winningsolutions/german-imprint-scraper
Search Term
Target URL
Company Name
First Name
+13 fields
Text
Number
Boolean
List
Object

Input

Target URLs
url:https://example.de
Input Mode:searchTerms
Search Terms:dentist berlin
Results per Search Term:100
Location:Germany
Language Code:de
Device:desktop
Skip Results Without Email:false
Validate Email Addresses:false
PerformanceMAX:true

Output fields

Search Term
Target URL
Company Name
First Name
Last Name
Salutation
Street
House Number
Postal Code
City
Phone
Email
Handelsregister Number
VAT ID
Facebook
Instagram
LinkedIn

How it works

Sign up on Apify or log in

The ✨ German Imprint Scraper & Leads Finder (Google Search) Actor is ready to run with the inputs already set for "Scrape Imprints & Company Data by Google Search Term". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Scrape Imprints & Company Data by Google Search Term" task

The ✨ German Imprint Scraper & Leads Finder (Google Search) Actor will start running based on the input automatically. You can also change all the input fields, like target urls, input mode, and more, to match your specific use case.

Receive the "Scrape Imprints & Company Data by Google Search Term" 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 search term, target url, company name, 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 "Scrape Imprints & Company Data by Google Search Term" task via API.

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Integrate "Scrape Imprints & Company Data by Google Search Term" into your workflow

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