Stop chaining fetch calls into homemade pipelines. Run store scrapers with estimates, resumes, and structured exports.
Scrapfly helps you fetch. Scrapy IO helps you finish—typed datasets, marketplace coverage, and result-based billing.
| Features |  Scrapy IO | |
|---|---|---|
| Performance | ||
| Lightning-fast execution | Yes Edge functions run close to the request — near-zero cold-start latency | Partial HTML fetch responses can be quick, but you still own parsing and retries afterward |
| Pricing & billing | ||
| Pay per result | Yes You only pay for rows that return data | No Credit packs for fetch/browser calls—not store results |
| Upfront cost estimate before each run | Yes See cost and runtime before you commit | No Pipeline glue cost sits outside the credit meter |
| No charge for failed or empty runs | Yes Blocked pages and empty results cost nothing | No Empty responses still spend credits |
| Pre-built scrapers for popular sites | Yes Instagram, Maps, LinkedIn, and more in the store | No Fetch API with browser rendering — no scraper catalog |
| End-to-end data pipelines | Yes Input → scrape → export in one flow | Partial You chain API calls into your own pipeline |
| Resumable jobs | Yes Resume long crawls without wasted spend | No Credit-based per-request billing |
| Try for free | Explore Scrapfly | |
Chaining Scrapfly credits into homemade workers is how teams accidentally rebuild a scraping platform. Scrapy IO is that platform: validate, estimate, run, resume, export—without glue scripts.
“We retired a Scrapfly worker that just chained credits into parsers. Scrapy IO replaced that whole service.”
Popular platforms ship as maintained scrapers—not DIY ASP/browser recipes.
Input → scrape → export without assembling orchestration around credits.
Align invoices with usable data instead of per-request credit burn.
Long jobs survive interruptions without wasteful full restarts.
Performance-first scrapers keep product and GTM loops tight.
Know cost and runtime before you hit run.
Extract Instagram profile followers in bulk without requiring login, session ID, or cookies. This actor provides complete API support, and seamless export options, making large-scale follower collection efficient and reliable.
LinkedIn Profile with Email & Company Data and get complete lead information, including verified emails, using their username, URL, or URN. This advanced scraper integrates with tools like Apollo, Hunter, Lusha etc. to ensure accurate and up-to-date email data.
Discover Google Maps businesses by keyword, nearby, radius, bounding box, area, or bulk queries — lead-gen search at $0.30 per 1,000 results.
Search Reddit for posts, subreddits, or users by keyword — with sort, time range, and optional comment pulls. Structured results for monitoring and research. $0.50 per 1,000 rows.
LinkedIn, Instagram, Google Maps, Reddit, YouTube, and more—structured and API-ready on Scrapy IO.
“Scrapfly was a great fetch layer. Scrapy IO removed the internal “scraper service” we had built on top of it.”
Scrapfly is priced around API credits for fetch/browser work. Scrapy IO prices finished scrapers—estimates up front, pay-per-result, resumable jobs included.
Scrapy IO plans
Free
Get $5 to spend on scrapers. One month only.
$0
Starter
Full API access, priority support
$19/mo
Growth
Most popular10% off every tool bill
$129/mo
Scale
Custom API access, dedicated support, 20% off
$439/mo
Scrapfly plans
Discovery
Credit packs
Entry
Pro
More credits + features
Scaled
Every paid plan ships with full REST API access, so results flow straight into your CRM, spreadsheet, or internal tool — with the same lightning-fast execution you get in the UI.
“Our workers now call Scrapy IO and write Parquet. The Scrapfly-era HTML normalizers are gone.”
Start on Scrapy IO with lightning-fast scrapers, upfront estimates, and pay-per-result billing.
Note: This evaluation is based on publicly available information as of August 2026. Product names, logos, and brands are used for identification only and remain the property of their respective owners. Their use does not imply affiliation or endorsement. Conduct your own evaluation before making a decision.
