Import.io has been through more than one identity since launching as a point-and-click web scraping tool over a decade ago. Today, the company is part of the Neuralogics group and positions Import.io as an AI-powered web data extraction platform, with self-service scraping, fully managed data pipelines, and a dedicated pricing-intelligence product called Aperture.
Import.io has also made a major change that matters for anyone evaluating it in 2026: its self-service pricing is now public.
Plans start at $199 per month when billed annually, and there's a 30-day free trial with 5,000 successful queries, full platform access, and no credit card required.
This review covers the current product, what each plan actually costs, where Import.io fits compared with other scraping platforms, and the limitations worth knowing before signing up.
| Best for | Teams that need recurring, production-grade web data extraction without maintaining scraping infrastructure themselves |
| Starting price | $199/month billed annually or $249 month-to-month |
| Free trial | 30 days, 5,000 successful queries, full platform access, no credit card |
| Included usage | 50,000 queries/month on Standard, 200,000 on Professional, 500,000 on Advanced |
| Overage pricing | $7/1K queries on Standard, $3.50/1K on Professional, $2.50/1K on Advanced |
| Standout feature | Self-healing extraction pipelines designed to adapt when websites change |
| Biggest caveat | The $199/month entry price is relatively high for casual scraping, and API/webhook access requires Professional or above |
| Third-party rating | Capterra: 4.3/5 from 13 reviews at the time of this update |
Import.io is a web data extraction platform for turning websites into structured datasets.
The current product lineup effectively gives customers several ways to use the underlying extraction technology.
The self-service platform lets users build point-and-click extractors without writing scraping code. Import.io handles infrastructure such as proxies, scheduling, monitoring, and extraction jobs while the user defines what data they want.
Managed Web Data is aimed at organizations that would rather have Import.io build, operate, maintain, and deliver the data pipelines for them. This becomes particularly relevant for high-volume extraction, protected websites, dedicated infrastructure, or teams that do not want scraping operations sitting with their own engineers.
Aperture sits above the extraction layer and focuses specifically on pricing intelligence. It monitors competitor prices, availability, assortment, MAP violations, promotions, and other digital-shelf signals across retailers and marketplaces.
Import.io also offers an MCP web scraper designed to make structured web extraction available to AI agents and other Model Context Protocol clients.
The overall pitch is no longer simply "scrape a website without coding." Import.io is increasingly positioning itself around keeping recurring web-data feeds operating reliably after they have been created.
For self-service extraction, users create extractors for the websites and data fields they want to collect.
Import.io's current platform includes point-and-click extraction, scheduling, proxy infrastructure, and automatic monitoring. The company also promotes self-healing extraction, where pipelines attempt to adapt when the structure of a target website changes instead of immediately failing and requiring the extractor to be rebuilt manually.
The exact capabilities depend on the plan.
Standard includes:
Professional adds:
Advanced adds:
Import.io also emphasizes governance features including PII detection and removal, sensitivity controls, auditability, and secure delivery.
Those compliance and self-healing claims come primarily from Import.io itself, so companies with strict reliability or regulatory requirements should validate them against their own websites and workflows during the trial rather than treating marketing claims as benchmarks.
Import.io now publishes its self-service pricing.
That makes the product considerably easier to evaluate than older versions of the pricing page, which did not expose clear base subscription prices.
| Plan | Billed annually | Month-to-month | Included successful queries | Overage |
|---|---|---|---|---|
| Trial | $0 for 30 days | — | 5,000 total | Hard stop — no charge |
| Standard | $199/month | $249/month | 50,000/month | $7 per 1,000 |
| Professional | $399/month | $499/month | 200,000/month | $3.50 per 1,000 |
| Advanced | $699/month | $899/month | 500,000/month | $2.50 per 1,000 |
Import.io offers a 30-day free trial with 5,000 successful queries, full platform access, and no credit card required.
The trial stops when you reach either 5,000 successful queries or the end of the 30-day period. Because there is no card on file and the trial has a hard usage stop, it does not automatically turn into a paid overage bill.
That's a meaningful improvement for evaluation because you can test real targets before deciding whether the paid plans make economic sense.
Standard costs $199 per month when billed annually, or $249 when paying month-to-month.
It includes 50,000 successful queries each month.
Usage above that allowance costs $7 per 1,000 successful queries, equivalent to $0.007 per additional query.
Standard is the most logical starting point for teams that primarily want no-code extraction, scheduling, and recurring data delivery.
The main limitation is that API access and webhooks aren't included at this level.
Professional costs $399 per month billed annually, or $499 month-to-month.
It raises the allowance to 200,000 successful queries per month and cuts overage pricing to $3.50 per 1,000 queries.
It also adds API access, webhooks, screenshots, HTML extraction, regional proxies, and additional support.
For teams integrating Import.io into a data pipeline rather than primarily downloading data manually, Professional is likely to be the more relevant tier.
Advanced costs $699 per month billed annually, or $899 month-to-month.
It includes 500,000 successful queries per month, with additional queries costing $2.50 per 1,000.
The tier also adds premium and residential proxies, team-management features, and priority live support.
It's aimed at larger or more difficult extraction workloads, particularly where target sites are more heavily protected.
If you need more than 500,000 queries per month, dedicated infrastructure, custom SLAs, or want Import.io to operate the extraction pipelines for you, the company offers Managed Web Data.
Pricing for that service is custom.
Import.io says managed contracts can include dedicated servers, custom query volumes, managed pipelines, protected-site extraction, onboarding support, and negotiated commercial terms.
Aperture is also sales-priced rather than included as one of the standard self-service tiers.
It is designed for companies specifically interested in competitor-price monitoring, MAP compliance, assortment tracking, product matching, and other retail pricing-intelligence workflows.
Import.io's pricing becomes more attractive per query as you move up the tiers.
The overage rates are:
For example, 50,000 additional successful queries beyond your plan allowance would cost:
| Plan | Cost of 50,000 overage queries |
|---|---|
| Standard | $350 |
| Professional | $175 |
| Advanced | $125 |
That means plan selection shouldn't be based only on feature access. If your usage regularly exceeds the included quota, moving to a larger plan can make economic sense even before considering the extra functionality.
Import.io also charges only for successful queries under its current pricing model, rather than charging the same amount for blocked or unsuccessful extraction attempts.
Import.io's current pricing, trial structure, plan limits, product lineup, and Neuralogics ownership can all be verified through the company's current website.
The company says it joined the Neuralogics group in late 2025 and continues to operate under the Import.io brand.
Import.io's product pages also display customer logos including OYO, Salsify, Ritz-Carlton, Volvo, Unilever, Upwork, and Red Hat.
Third-party review coverage now exists as well, although the sample sizes remain fairly small.
At the time of this update:
That is enough to provide some independent feedback, but not enough to treat any of those scores as a particularly large or statistically robust review base.
The reviews themselves are also mixed. Recent positive reviews tend to mention reliable structured data, straightforward setup, and responsive support, while at least one negative G2 review reports serious problems following a backend change.
As always with infrastructure that may feed business-critical datasets, test the service against your own target websites rather than relying solely on aggregate review scores.
Diffbot is worth considering if you want an API-first extraction platform combined with a large Knowledge Graph.
It has a free tier and publicly listed usage-based plans, with its Startup plan currently beginning at $299 per month.
Octoparse is the more obvious alternative for individuals and smaller teams looking for a cheaper no-code scraper.
It has a free plan, while paid Standard pricing currently starts from $69 per month when billed annually.
That makes its entry point substantially lower than Import.io's, although the products increasingly target different levels of operational complexity.
ScrapeHero focuses heavily on managed web scraping rather than just providing software for customers to configure themselves.
It's therefore most relevant as an alternative to Import.io's Managed Web Data offering.
Bright Data is more infrastructure-oriented, with proxies, scraping APIs, browser infrastructure, datasets, and related web-data products.
It's worth considering if you want more direct control over the scraping and proxy layer rather than primarily using a point-and-click extraction platform.
Zyte offers an API-first scraping platform with usage-based pricing determined partly by the complexity of the target website and type of request.
It can be a better fit for engineering teams that want scraping infrastructure through an API rather than a primarily visual extraction workflow.
Import.io makes the most sense for teams that need web data repeatedly rather than once.
Good use cases include:
It becomes particularly compelling when maintaining custom crawlers is already consuming engineering time.
The combination of self-service extraction, managed delivery, and Aperture also means teams can potentially remain on the same platform as their requirements become more sophisticated.
Import.io is harder to justify for a solo user who occasionally wants to scrape a few pages.
At $199 per month on an annual commitment — or $249 month-to-month — there are significantly cheaper no-code scraping tools available.
It's also probably not the first choice for developers who primarily want a low-level scraping API and prefer to build the entire extraction and data-processing layer themselves.
And if API integration is essential from day one, remember that you'll need Professional, which currently starts at $399 per month billed annually.
Import.io is no longer accurately described as an enterprise scraper with hidden pricing.
Its current self-service platform has clear public pricing, beginning at $199 per month billed annually, alongside a 30-day free trial with 5,000 successful queries, full platform access, and no credit card required.
That substantially improves the evaluation process: you can see the cost before signing up and test the platform without talking to sales.
The trade-off is that Import.io still isn't cheap compared with entry-level scraping tools. The value proposition rests on the operational layer around extraction — monitoring, self-healing pipelines, proxy infrastructure, governance, managed delivery, and the option to add pricing intelligence through Aperture.
For small one-off scraping jobs, that's probably overkill.
For teams whose web data needs to keep arriving after the target website changes, however, Import.io is much easier to make a case for than the old opaque-pricing version of the product.