High-volume web data collection
Submit large public-web data jobs asynchronously and retrieve results when they are ready. Struqter handles concurrency, adaptive access, retries, and rendering behind one API workflow.
Built for teams collecting public web data at scale
Boltshift 
Lightbox 
FeatherDev 
Spherule 
Globan Managed asynchronous collection
Separate submission from processing and delivery while Struqter handles the access work behind each request.
Submit large web data jobs without keeping client connections open for every request.
Struqter manages concurrency, retries, and access strategy in the background so collection can continue as targets respond.
Discuss your workload
Dynamic rendering, regional responses, blocks, and request limits make some public sites harder to collect from reliably.
Struqter applies the proxy, browser, headers, and retry strategy suited to each request without adding those systems to your stack.
Discuss your targets
Send the URLs and collection requirements once, then let the async workflow coordinate parallel processing and recovery.
Your application can keep doing useful work instead of holding open connections or maintaining its own job queue.
Plan your integration
Each accepted job returns a status reference your application can use to check progress and retrieve the completed result.
This separates submission from delivery, making long-running and high-volume collection easier to operate.
Talk through the workflow
When asynchronous scraping helps
Async collection is useful when request volume, target difficulty, or processing time makes one open connection per page impractical.
Apply rendering, location, headers, and retries according to what each target requires.
Move retry and recovery logic out of your application when targets become slower or more restrictive.
Use managed access strategies for public sites that need more than a basic HTTP request.
Run sustained collection workloads without building a separate queue, proxy pool, or browser fleet.
Business value
Collect more data with fewer failed jobs by applying an access strategy matched to the target instead of treating every request the same.
Discuss performance
Keep your team focused on using web data rather than maintaining proxy rotation, browser infrastructure, CAPTCHA handling, retries, and job orchestration.
Review your setup
Connect Struqter to the workflows you already own and scale collection around the targets, frequency, and output your product actually needs.
Scope a solution
Designed for demanding workloads