The Client is a workforce analytics company that provides comprehensive global workforce databases. The Client’s company collects and aggregates millions of publicly available employment records, including professional profiles, job postings, employee sentiment reviews, and layoff notices. They use this data to create a comprehensive workforce database.
The Challenge
In the past, the Client used external platforms to extract data en-masse from public sources. But they soon realized that these web scrapers couldn’t collect data efficiently.
Specifically:
Third-party scrapers worked well for pulling data from web pages but were bad at consistency and maintaining proxy pools.
They were also not advanced enough to overcome obstacles like bypassing anti-bot techniques that block and prevent data scraping.
All of these challenges made it harder for the Client to access the publicly available data they needed on time. They needed a more efficient way to scrape data ethically.
At first, we relied entirely on third-party scrapers. But we were not particularly thrilled with how some of these scraping partners handled the process, so we wanted to move things in-house.
Everything just made sense — it was much better than the other tools we had tried.
Implementing the API was pretty straightforward, and the tools support team was always available to help throughout the process.
The Solution
The Client’s team found ScraperAPI via a simple Google search and signed up immediately to try it out.
Going Forward
ScraperAPI continues to play an important role in the Client’s mission: to deliver the world’s most comprehensive workforce database that empowers companies to make actionable, data-driven decisions.
Ready to start scraping?
Interested in seeing how ScraperAPI can help you overcome your data collection challenges?