CleanedWeb vs. Custom scrapers
Compare CleanedWeb and Custom scrapers: workflows, output contracts, integration choices, and a practical migration checklist.
On this page
Custom scrapers give you control over every extraction rule. CleanedWeb's bounded local builder can accept a generated API around a reviewed collection and output schema; hosted customer availability requires separate acceptance.
The numbers
Your hosting, proxies, and maintenance
Checkout acceptance pending
Custom scraper costs depend on your implementation and infrastructure. CleanedWeb’s published rate is an offer, not proof of a completed paid journey. Scrapy overview ↗ · CleanedWeb pricing ↗
Features at a glance
| Compare features | Custom scrapers | CleanedWeb |
|---|---|---|
| 01 Build & maintain | ||
| Custom APIs | You build it | Bounded reviewed builds, local |
| Auto-repair | You implement it | Not yet qualified |
| 02 Connect & collect | ||
| API access | You deploy it | Versioned REST API, local |
| Inputs | Your code | Collection scope + fields |
| Outputs | Your parser + schema | Records + schema + summary |
| 03 Costs | ||
| Build cost | Engineering time | Bounded reviewed build, local |
| Billing | Infrastructure + labor | Advertised prepaid records |
Where each fits
Choose custom scrapers when you need full control over browser behavior, parsing, and deployment.
Choose CleanedWeb when your goal is a recurring record feed and you want to integrate through a generated API.
What changes in your integration
Scrapy provides a framework for crawling websites and extracting structured data. With a custom implementation, your team decides how to fetch pages, parse fields, store output, and operate the collection process. See the Scrapy overview.
Where a CleanedWeb build is accepted, use its schema, version, and request example. Review source support and field coverage using your own collection before changing your application.
Before you switch
- List the extraction rules and transformations your current scraper applies.
- Compare generated fields with your existing record schema.
- Move application-specific transformations into a mapping layer.
Use the same bounded input for both systems and compare matching records, missing values, and execution results. Keep your storage and application logic in place while you verify the new collection step.