Import.io and ScrapeIt both turn websites into structured data. Import.io, in production since 2012, sells a self-service extraction platform on published plans and a managed service for large programmes under an SLA. ScrapeIt is a smaller EU engineering team with one product: it builds and runs a scraper for your target list and delivers the dataset, at published prices.
Choose Import.io if
- Your team wants to build and schedule extractors itself
- The programme is large and needs a contractual SLA
- AI agents or your product need web data on demand
Choose ScrapeIt if
- You want a finished dataset and nothing to operate
- The job is a defined list of sites and fields
- You need a one-time extract or managed data within days
What each company actually is
Import.io
Import.io Corporation, founded in 2012, headquartered in San Francisco, part of the Neuralogics group since October 2025. One extraction engine sold four ways: a self-service platform with point-and-click and AI extractors and an API; Web Scraper MCP, tools for AI agents; Aperture, a pricing intelligence application; and Managed Services, where a named team builds, runs and checks your feeds under an SLA. Self-service plans are published, from 199 US dollars a month on a twelve-month term, with a free 30-day trial. Managed Services and Aperture are quoted. Only the managed layer is comparable to ScrapeIt.
ScrapeIt
Scrapeit Sp. z o.o., registered in Bialystok, Poland and trading since 2021. A managed service and nothing else: an engineer scopes your target list and fields, builds the scraper, runs it and repairs it when the target changes, with manual checks before delivery. No console, no catalogue, no self-serve product. Published prices: EUR 199 for a one-time extract of up to 100,000 rows, subscriptions from EUR 169 to EUR 549 per month.
Side by side
When Import.io is the better choice
- Your team wants to control the extractors. Analysts build, schedule and change them without waiting for a vendor, and developers get an API. ScrapeIt sells no tool.
- You want to try it today. The 30-day trial includes 5,000 successful queries and needs no card. ScrapeIt has nothing to sign up for.
- The programme is enterprise scale. In production since 2012, Import.io reports 450 million queries a year on a single feed. Managed Services are positioned for more than 500,000 queries a month, with SLA commitments that put fees at risk.
- AI agents or your application need the live web. Web Scraper MCP and the Web Data API return structured data per call. ScrapeIt delivers datasets built to a brief.
When ScrapeIt is the better choice
- Nobody on your side should operate a tool. Self-service still needs someone to build, schedule and monitor extractors; Import.io's Managed Services do not. ScrapeIt leaves you nothing to run.
- You want managed data with the price known first. ScrapeIt's managed prices are on its site, and a first delivery typically arrives within one to ten days. Import.io quotes managed work, within one business day by its own account, and states a first delivery typically two to three weeks after signature.
- You need a one-time extract. EUR 199 buys a single dataset of up to 100,000 rows. Import.io's managed terms are annual; its monthly self-service plans cancel anytime.
- You want an EU counterparty. A Polish company acting as data processor, a mutual NDA as standard and a DPA when personal data is involved. Import.io is headquartered in the United States and also offers a DPA.
The honest summary
Import.io is the older and larger business and covers more ground: a tool your team can run, an API, agent tooling and a managed service with contractual SLAs. If you want to build extractors yourself, or the programme is enterprise scale, Import.io is the stronger fit.
ScrapeIt competes only with the managed part, at a smaller size: a defined list of sites, a published price, manual checks and a first delivery typically within one to ten days. The limit is that same narrowness. There is nothing to log in to, so when a self-service platform already handles your target and someone on your team will run it, that is the quicker start.
How to decide in one pass
- Decide who operates the collection. If someone on your team will build and monitor extractors, start Import.io's free trial. If nobody will, compare managed services only.
- Check the commitment you can make. Import.io's managed terms are annual, billed monthly. ScrapeIt lists a one-time extract and monthly subscriptions.
- List the contract terms you need. If an SLA with fees at risk is mandatory, Import.io publishes that commitment. If the processor must be an EU company, that is ScrapeIt.
Keep reading
Is ScrapeIt an Import.io alternative?
Yes, for the managed part of what Import.io sells. Import.io offers a self-service extraction platform, an API, tools for AI agents and Managed Services, while ScrapeIt offers only a managed service: an engineer builds, runs and repairs the scraper and you receive the dataset. If you want a tool to operate yourself, ScrapeIt is not a substitute.
When is Import.io the better choice?
When your team wants to build and schedule extractors itself, when AI agents or your product need web data on demand through an API, or when the programme runs above 500,000 queries a month and needs an SLA. Import.io has been in production since 2012 and offers a free 30-day trial of its platform. ScrapeIt has no self-serve product and no console.
How do Import.io and ScrapeIt prices compare?
Both publish prices, for different things. Import.io publishes its self-service plans, from 199 US dollars a month on an annual term or 249 US dollars month-to-month, billed on successful queries, and quotes Managed Services per source maintained or per query. ScrapeIt publishes a managed price list: EUR 199 for a one-time extract of up to 100,000 rows and subscriptions from EUR 169 to EUR 549 per month.
Who repairs the scraper when a site changes?
At ScrapeIt our engineers do, as part of the managed service. At Import.io it depends on the product: on Managed Services its team detects the change and repairs the extractor, and on the self-service platform your team maintains its extractors, with change detection and AI-assisted repair built in.
