No demo gate. Browse scrapers for maps, social, and search, see costs upfront, and integrate on your terms.
Kadoa optimizes for curated finance pipelines. Scrapy IO optimizes for broad, self-serve scraping with developer control.
| Features |  Scrapy IO | |
|---|---|---|
| Performance | ||
| Lightning-fast execution | Yes Edge functions run close to the request — near-zero cold-start latency | No Cloud agents or browser sessions need to spin up before extraction begins |
| Access & control | ||
| Open self-serve access | Yes Browse scrapers and run without a sales call | No Closed platform — finance-focused, demo required |
| Pricing & billing | ||
| Pay per result | Yes You only pay for rows that return data | No Sales-led platform fees—not transparent per-row pricing |
| Upfront cost estimate before each run | Yes See cost and runtime before you commit | No Quotes arrive after demos—not before each run |
| No charge for failed or empty runs | Yes Blocked pages and empty results cost nothing | No Managed pipeline fees are not tied to empty outputs clearly |
| Full API control | Yes Integrate into any stack on your terms | Partial Managed AI pipelines — limited code access |
| Broad site coverage | Yes Social, maps, search, reviews, and more | No Purpose-built for investment and finance workflows |
| Try for free | Explore Kadoa | |
Closed, sales-led platforms look polished and evaluate slowly. Scrapy IO is open: browse scrapers, see costs, run via API—without waiting on a demo to start.
“We could not try Kadoa without a call. Scrapy IO let us validate a run and see cost in under ten minutes.”
Start without a sales-qualified demo cycle.
Integrate scrapers into any stack—you own the orchestration.
Social, maps, search, reviews—not finance-only workflows.
Plans and per-row estimates beat opaque platform fees.
Operational scrapers tuned for speed, not only AI packaging.
Need a niche source? We build and host it under the same model.
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.
Run LinkedIn, Instagram, Google Maps, Reddit, and more on Scrapy IO—with APIs your engineers control end to end.
“Kadoa looked polished but we could not evaluate without a call. Scrapy IO let us prove value on a Friday afternoon.”
Kadoa’s closed model often means sales-led pricing. Scrapy IO publishes plans, estimates every run, and bills successful rows on a self-serve store.
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
Kadoa plans
Platform
Sales-assisted access
Custom
Services
Managed pipelines
Custom
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.
“We needed raw API access for compliance logging. Scrapy IO gave us that; closed platforms would not.”
Browse Scrapy Store scrapers and run them today—no closed-platform gatekeeping.
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.
