Structured page extraction
Product pages, listings, directories, profiles, tables. Pulled into the exact schema you provide, field by field.
Crawlify extracts data at any scale, keeps it running as websites change, and verifies every record to 99.5% field accuracy. The real value comes from correlating multiple data pulls into actionable signals—not just scraping.
Scrape and Crawl Any Source
Choose a data type or enter any public website URL
We crawl. You get trusted data.
Typical scraper
Crawlify managed service
The reframe
That's the difference between a scraper and a managed service. Crawlify handles the extraction and the crawling, reliably, on your cadence, across sources that fight back. But we treat that as the entry layer, not the deliverable. On top of it sits verification (every record checked, with a source you can open) and correlation (multiple verified pulls joined into one signal). Extraction is where we start, not where we stop.
Definition
Managed web scraping is a service where a provider extracts data from websites on your behalf, then maintains that extraction as sites change layout, verifies the output against the source, and delivers structured records into your systems. It differs from self-serve scraping tools or in-house scripts, which stop at raw extraction and leave verification, maintenance, and correlation to you. Crawlify is a managed web scraping service: we handle extraction, verification, and cross-source correlation as one delivered signal.
Extraction timeline
MonMay 20, 9:00 AM
TueMay 21, 10:42 AM
TueMay 21, 10:43 AM
TueMay 21, 10:46 AM
WedMay 22, 9:00 AM
Capability
Monitoring is configured per source — what counts as a change, how often we look, and what's worth surfacing to you.
Product pages, listings, directories, profiles, tables. Pulled into the exact schema you provide, field by field.
Discover and traverse a site's structure, follow pagination and internal links, and extract at depth, not just the landing page.
Content that loads client-side, behind interactions, or through infinite scroll, handled properly rather than skipped.

Sites that defend against extraction, handled with respectful request rates and compliant technique, not brute force.
PDFs, filings, and mixed-format pages parsed into clean structured output.
Re-crawl on your cadence, catching only what's new or changed since the last run, so you're never re-processing the whole site.
How It Works

You bring the sources and the target schema. We confirm what's public, what's feasible, and the cadence.
Project-based verified pulls into your stack.


As volume and cadence grow, one-time pulls become continuous feeds. Projects first, feeds as you scale.
Scraping Tool vs Managed Service
| Stage | A scraping tool or in-house scriptStops at extraction. Everything after it is yours to run. | Crawlify, managedWeb scraping is step one of four. We run the other three. |
|---|---|---|
| Extraction | You configure a scraper per source and run it yourself. | We build and run the extraction across every source you name. |
| When a source changes its layout | The scraper breaks, usually silently, and you find out from the gap in your data. | The engine detects the break and we fix the monitor before your next scheduled run. |
| Verification | Whatever came off the page is what you get. Checking it is your job. | A human analyst reviews every record before delivery, to a 99.5% field-level accuracy SLA. |
| Provenance | A row of values, with nothing behind it. | Source URL, extraction timestamp, verifier ID and verification timestamp on every record. |
| Correlation across sources | Not attempted. You join the feeds yourself, if they can be joined. | Records from separate sources are matched and delivered as one signal. |
| Delivery | A file or an endpoint. Getting it into your systems is on you. | Into your stack on your schedule — REST API, S3, Snowflake, webhook, CSV. |
Case Study
Crawlify powers the data pipeline behind ScholarMeet. What would have taken our team weeks of manual work now runs continuously with verified accuracy.
www.scholarmeet.com
Read Full Case Study
Use Cases
Yes, in the sense that extraction is where the work starts. Crawlify scrapes and crawls any public web source, then adds what a scraping tool alone doesn't: maintenance as sites change, field-level verification to a 99.5% accuracy SLA, and correlation across sources into a single signal. If you only need raw extraction, tools like Apify or Bright Data are built for that. If you need the output to be something a team can act on without checking it first, that's the managed service.

Tell us the sites and the schema, and we'll tell you what's feasible, what's verifiable, and how we'd deliver it. Scoping call, not a sales pitch.
Talk to us
Working with us on a vertical where verified extraction becomes a shared dataset? That's the data-partner track.
Become Data Partner