Sourcely helps students and researchers find credible academic sources in seconds. Point it at a topic and it surfaces relevant papers, summarizes them, and hands back clean citations, instead of hours spent digging through journals and PDFs by hand.
That only works if the source material behind it is reliable. Sourcely uses Context.dev to crawl academic journals and PDFs at scale, turning scattered scholarly content into the structured material its product is built on. The same team also runs Context.dev under the hood of Yomu AI, their AI writing assistant for academic work.
Here's how they put it:
"We use Context.dev for academic journal and PDF crawling for Sourcely and Yomu AI. It's a great web crawling API: fast, accurate, and way cheaper than Firecrawl. Plus the team is very responsive and super fast at incorporating feedback. Go try it!"
Why Context.dev?
For Sourcely, the win came down to four things:
- Fast: Crawls academic journals and PDFs quickly enough to keep source discovery feeling instant.
- Accurate: Returns clean, reliable content the product can turn into summaries and citations.
- Cheaper than Firecrawl: Significantly lower cost at the volume Sourcely crawls.
- Responsive support: Feedback gets incorporated fast, so the API keeps fitting the use case as it grows.
By leaning on Context.dev for crawling, the Sourcely team keeps its engineering focus on the research experience itself, not on owning and maintaining a web-scraping pipeline.
Want clean, structured content from journals, PDFs, or any website, without building a crawler? Context.dev gives you the crawling layer so your team can stay focused on the product your customers actually see.