In Progress

Data Mining, Scraping Addresses from different Websites 2

In this Project I need between 25.000 and 200.000 Addresses from different Websites in a csv file. The addresses are for German Craftsman. The addresses can be scraped automatically by coding an appropriate scraper for the relevant websites or gathered manually. Maybe the effort doing it manually is too high. The relevant websites are similar but not exactly the same, so the scraper has to be adapted to each website. There are about 50 websites I need addresses from. For example:nn[url removed, login to view]://[url removed, login to view]://[url removed, login to view]://[url removed, login to view] you choose the Craftsman in Stuttgart for example, you will find this page:n[url removed, login to view] click on the button "suchen" without filling out the form. On the following pages you will find 10 Craftsman on each page with a link to the Details. I need all the Data from the details page in a csv file. Example details page: [url removed, login to view] Payment will depend on the number of complete Addresses I get. You will receive the payment after I checked the addresses for missing details and fake [url removed, login to view] details I need for each address: Name, Street, House Number, Zip Code, Town, Phone, Fax (if available), Email (if available), Homepage (if available), craft (in German "Gewerk"),nnDon't hesitate to contact me if you have any questions.


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About the Employer:
( 3 reviews ) Würzburg, Germany

Project ID: #4821485

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Hired by the Employer

$10 USD / hour
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