Crawlify
Services — scraping & crawling

We scrape and crawl anything. Then we do the part most services skip.

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

  • Products
    • Prices
    • Availability
    • Reviews
    • & more
  • Jobs
    • Roles
    • Companies
    • Salaries
    • & more
  • Companies
    • Locations
    • Directory
    • Contacts
    • & more
  • News
    • Articles
    • Headlines
    • Trends
    • & more

We crawl. You get trusted data.

99.5%Verified field accuracy
2.4M+Records crawled
  • ScholarMeet
  • Scholar9
  • NationBuilder
  • HandyNation
  • ApricotLane

Typical scraper

Find a websiteOne-time setup
Scrape dataExtract what you can
  • Breaks when site changes
  • Duplicate & missing data
  • Manual re-checking
  • Stale by the time you use it
Unreliable dataNot ready for decisions

Crawlify managed service

Connect any sourceWebsites, APIs, PDFs, portals
Maintained extractionWe adapt as sites change
Verified records99.5% field accuracy
Correlated dataMultiple verified pulls joined
Trusted signalActionable. Reliable. Always ready.

The reframe

Anyone can scrape a page once. Keeping it reliable, verified, and useful is the actual job.

There's no shortage of tools that pull data off a website. The hard part was never the first extraction. It's everything around it: handling sites that change their layout every few weeks, catching the broken and duplicated records before they spread, proving the data is actually correct, and turning a pile of raw rows into something a team can make a decision on.
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

What is Managed Scraping?

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

  1. MonMay 20, 9:00 AM

    Extraction running smoothlyAll sources extracted successfully.12,482 records
  2. TueMay 21, 10:42 AM

    Source structure changedWe detected a change in the layout/structure.Detected
  3. TueMay 21, 10:43 AM

    Crawlify adapted extractionOur system updated the parser and mapping.Adapting
  4. TueMay 21, 10:46 AM

    Extraction updatedNew extraction is live and verified.Resolved
  5. WedMay 22, 9:00 AM

    Data flowing normallyAll sources are running as expected.12,828 records
  • 0+Years in Operation
  • 0%+Verified accuracy
  • 0Countries
  • 0/5Client Satisfaction
  • 0Projects Delivered

Capability

Watch any source. Catch any change.

Monitoring is configured per source — what counts as a change, how often we look, and what's worth surfacing to you.

Structured page extraction

Product pages, listings, directories, profiles, tables. Pulled into the exact schema you provide, field by field.

Full-site crawling

Discover and traverse a site's structure, follow pagination and internal links, and extract at depth, not just the landing page.

Dynamic & JavaScript-rendered content

Content that loads client-side, behind interactions, or through infinite scroll, handled properly rather than skipped.

Anti-bot & rate-sensitive sources

Sites that defend against extraction, handled with respectful request rates and compliant technique, not brute force.

Documents & semi-structured sources

PDFs, filings, and mixed-format pages parsed into clean structured output.

Scheduled & incremental crawls

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

A managed service, not a tool you rent by the request.

Two people scoping an extraction at a whiteboard mapping data sources, requirements, output format and delivery schedule
  1. 01

    Scope

    You bring the sources and the target schema. We confirm what's public, what's feasible, and the cadence.

  2. 02

    Deliver

    Project-based verified pulls into your stack.

    • Salesforce
    • Hubspot
    • Snowflake
    • Slack
    • Webhooks
    • Rest API
  3. 03

    Graduate to feeds

    As volume and cadence grow, one-time pulls become continuous feeds. Projects first, feeds as you scale.

Scraping Tool vs Managed Service

Where a managed, verified service fits versus raw scraping infrastructure.

StageA 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.
ExtractionYou 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 layoutThe 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.
VerificationWhatever 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.
ProvenanceA row of values, with nothing behind it.Source URL, extraction timestamp, verifier ID and verification timestamp on every record.
Correlation across sourcesNot attempted. You join the feeds yourself, if they can be joined.Records from separate sources are matched and delivered as one signal.
DeliveryA 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

Academic event data pipeline — ScholarMeet

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
The ScholarMeet dashboard listing upcoming conferences with dates, modes and locations

Frequently asked questions

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.

An engineering team reviewing an industry process diagram on a factory floor

Have a watchlist in mind?

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
A builder sketching a data-pipeline diagram from sources through verification to delivery

Become a data partner

Working with us on a vertical where verified extraction becomes a shared dataset? That's the data-partner track.

Become Data Partner