Project Title: Scrape Tech Companies Data from Builtinaustin.com
Project Description:
We are looking for an experienced data scraper to scrape all Tech company data (for those cities) from this website:
Step 1:
Go to: https://www.builtinaustin.com/companies
There you will see filters. When you select different options, it will load startup companies.
Same format. they have different URLs:
https://www.builtinaustin.com/companies
https://www.builtinchicago.org/companies
https://www.builtinboston.com/companies
https://www.builtincolorado.com/companies
https://www.builtinla.com/companies
https://www.builtinnyc.com/companies
https://www.builtinsf.com/companies
https://www.builtinseattle.com/companies
Step 2:
I need the following data elements from each of those companies:
Company Name
Profile URL
Website
Location
Founded year
Open job count
Local employees count
Global employees count
Technologies use
I do not expect you to do this manually. You must have a tool to scrape data automatically.
Kindly let us know the best quote.
For similar work requirement feel free to email us on info@logicwis.com.
Deliverable is an excel file with all 40,000+ software companies listed on SaaSworthy.com
Excel format should be:
Company Name
Company URL
Linkedin URL
Category
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