LinkedIn Scraper
Find specific marketing companies and e-commerce brands on LinkedIn
PROBLEM
STATEMENT
The client needed an automated system for finding high-quality leads for marketing purposes. The data that was required included company website, name, email address, and designation of the decision makers (owners, CXOs, and Founder) of marketing companies and E-commerce brands. The scraper had to be robust to avoid blocking as it had to run daily and scrape thousands of results.
SOLUTION
We used the proprietary algorithm of Data Prism to scrape the required data from LinkedIn. It involved the use of certain filters to find the companies/brands that fulfill the criteria. Once we have these results, the scraper would find the relevant employees to gather their details.
Input
Targeting keywords and filters that make up the desired criteria
Output
A CSV or JSON file containing the marketing companies and E-commerce brands
Tools &
Technologies
Python
Selenium
Yagmail (for emailing reports)
