If you have been running ScrapeIt (the scraping API at scrape-it.cloud, sometimes written Scrapeit Cloud) and started pricing out the alternatives, you are usually doing it for a concrete reason: your volume changed, a target got harder, or you want a different billing model than the one you signed up for. None of that means ScrapeIt is a poor tool. It is a capable, developer-friendly scraping API, and for plenty of jobs it is the right answer.
This post compares ScrapeIt with the providers people most often weigh it against, including Crawlbase, Apify, ScrapingBee, and a few point-and-click tools. It lays out each one factually, puts them in a single side-by-side table, and walks the dimensions that actually decide a switch. Pricing here is about the model and structure only: the legacy version of this comparison quoted 2023 dollar figures that are long out of date, so check each provider's current pricing page for live numbers before you commit.
The tools at a glance
Most of these products do the same broad job (turn a URL into structured data) but they sit at different points on a spectrum from raw developer API to fully managed, point-and-click platform. Here is the short, fair version of each before the table.
ScrapeIt (Scrapeit Cloud). A scraping API aimed at developers. You send a request, and it handles proxy rotation, JavaScript rendering, and CAPTCHA solving behind a single endpoint, with structured output for popular targets like search engines and marketplaces. It is straightforward to integrate and a solid fit when you want a clean API and do not want to run browsers or proxies yourself.
Crawlbase. A managed scraping and proxy platform built around the Crawling API and Smart AI Proxy, with auto-parsing through the Scraper API and an async Crawler for large jobs. It rotates IPs, renders JavaScript on request, and retries blocked requests server-side, and it bills only for successful requests. It suits teams that want finished data with the least infrastructure to operate.
Apify. A platform plus a marketplace of pre-built scrapers called Actors. Beyond a raw API, it gives you a catalog of ready-made tools for specific sites, a scheduler, storage, and integrations with Zapier and Make. It is a strong choice when you want an existing Actor for your exact target or a full workflow platform rather than just an endpoint.
ScrapingBee. A scraping API with a focus on headless-browser rendering and JavaScript scenarios, so you can click, scroll, wait for elements, and run custom scripts on the page. It is a good fit for developers whose targets are render-heavy and who want that handled through a single API call.
Point-and-click tools (ParseHub, ScrapeStorm). Visual scrapers where you click the data you want instead of writing code. ParseHub handles AJAX, forms, dropdowns, and infinite scroll through a desktop app; ScrapeStorm uses AI to detect lists, tables, and pagination automatically. Both are the better pick for non-developers or for quick, one-off extractions without an engineering team.
Managed-service providers (PromptCloud and similar). Done-for-you data services where the vendor builds and runs the scrapers and delivers feeds on a schedule. You trade hands-on control and a self-serve API for an outsourced pipeline. These fit organizations that would rather buy the data than operate the extraction.
ScrapeIt vs the field: side by side
This table compares the providers on the dimensions that usually decide a choice. Read "pricing model" as structure only and confirm current numbers on each vendor's pricing page. No row is a clean sweep for anyone; the right answer depends on which columns you weight.
| Provider | Core model | JavaScript rendering | Proxy / CAPTCHA handling | Pricing model | Best for |
|---|---|---|---|---|---|
| ScrapeIt | Developer scraping API, single endpoint | Yes, on request | Built-in rotation and CAPTCHA solving | Subscription tiers with a request/credit allowance | Developers who want a clean API with structured output |
| Crawlbase | Managed Crawling API plus Smart AI Proxy and Scraper API | Yes, toggle per request (JS costs more credits) | Built-in rotation and CAPTCHA handling, server-side retries | Pay only for successful requests; 1,000 free to start | Teams wanting finished data with minimal infrastructure |
| Apify | Platform plus a marketplace of pre-built Actors | Yes, via Actors and browser tooling | Built-in proxy and anti-blocking options | Compute units plus usage, on subscription tiers | Ready-made scrapers and full workflow automation |
| ScrapingBee | Scraping API focused on rendering and JS scenarios | Yes, with scripted interactions | Built-in proxy pool and block avoidance | Subscription tiers measured in API credits | Render-heavy targets through one API call |
| ParseHub / ScrapeStorm | Visual, point-and-click desktop scrapers | Yes, in-app browser | Some IP rotation; less hardened than the APIs | Free tier plus subscription by project/page volume | Non-developers and quick one-off extractions |
| PromptCloud (managed) | Done-for-you data feeds, vendor runs the scrapers | Handled by the vendor | Handled by the vendor | Custom quotes by project and data volume | Buying data rather than operating extraction |
Ease of use and who operates the stack
The clearest divide in this list is how much you build and run yourself. ScrapeIt, Crawlbase, and ScrapingBee are APIs: you write code, send requests, and get data back, which is the fastest path if you have a developer and want it wired into a pipeline. ParseHub and ScrapeStorm flip that around with a visual interface, so a non-developer can point at the data and export it, at the cost of fitting a custom workflow into a click-based tool. Apify sits in the middle, since you can run a pre-built Actor with no code or write your own. Managed services like PromptCloud ask for the least hands-on work of all, because the vendor operates everything, but you give up direct control and self-serve iteration.
None of these is "easier" in the abstract. An API is easier for a team that already writes code and wants automation; a visual tool is easier for a one-person marketing team that needs a list this week. Match the interface to who is actually going to operate it.
Pricing models, not dollar figures
Pricing is where these tools differ most, and where stale numbers mislead most, so focus on the structure. Most of the APIs here, including ScrapeIt and ScrapingBee, sell subscription tiers measured in requests or API credits: you commit to a monthly bucket, and rendering or premium proxies often draw more credits per call. Apify layers compute units on top of a tier, so cost scales with how much processing a job does, not only how many pages you fetch. Visual tools tend to price by project count or page volume with a free tier to start. Managed feed providers quote custom prices per project.
The questions that matter across all of them are the same: what counts as a billable unit, do failed or blocked requests still cost you, and how predictable is the bill when a target gets harder and retries climb? Crawlbase's model is pay-per-successful-request: a successful request is one delivered page, plain HTML or JavaScript-rendered, and failed or blocked requests are not charged. JavaScript-rendered requests consume more credits than plain ones, billing is monthly or yearly (yearly discounted, commitment-free), and you start with 1,000 free requests and no credit card. For the live tier amounts on any of these, read each provider's current pricing page; for Crawlbase specifically, see the pricing page and the breakdown in Crawlbase pricing explained.
When comparing any two providers, convert each to cost-per-successful-page on your own target, including the requests that failed and had to be retried. A low headline per-request price can cost more in practice than a model that simply does not charge for blocked requests. That number, not the tier label, is the honest comparison.
Reliability and scale
On hard targets, the dimension that decides a project is who absorbs the block. The APIs in this list (ScrapeIt, Crawlbase, ScrapingBee, Apify) all advertise built-in proxy rotation and CAPTCHA handling, which is the table stakes for getting past basic defenses. Where they differ is what happens when a request is blocked: does the provider detect it and retry server-side, or does it return you a challenge page and count it as a delivered request? That behavior, more than any advertised pool size, drives your real success rate.
Crawlbase positions itself on retrying blocked requests server-side until one gets through, and publishes its own framing of near 99% success and around 20 requests per second; treat those as Crawlbase's stated figures, not an independent benchmark, and verify on your own target. For scale specifically, an async model helps: Crawlbase's async Crawler and Apify's scheduler and storage are both built for large, repeated jobs, whereas a synchronous single-request API is simpler but leaves batching and queueing to you.
If the deciding factor is delivered pages on hard targets without operating proxies and browsers yourself, the Crawlbase Crawling API handles rotation, JavaScript rendering, and CAPTCHA retries behind one endpoint and bills only for successful requests. The fair test is your own hardest target on the 1,000 free requests, so you measure the result rather than take the claim.
When ScrapeIt or another tool is the better choice
A comparison you can trust has to name the cases where Crawlbase is not the answer, so here they are.
ScrapeIt fits when you want its specific API and structured endpoints. If you already integrated against ScrapeIt, like its developer experience, or rely on its structured output for the exact search engines and marketplaces you target, staying put is reasonable. It is a capable API, and switching cost is a real cost.
Apify fits when you want a pre-built Actor or a full workflow platform. If there is already an Actor for your exact target, or you want a marketplace, scheduler, storage, and a platform UI rather than a single endpoint, Apify gives you a breadth that a focused API does not. That is covered in more depth in our Apify alternative write-up.
ScrapingBee fits when scripted browser interaction is the whole job. If almost every target needs clicking, scrolling, and custom in-page JavaScript, a tool built around that scenario can be the cleanest fit.
A point-and-click tool fits non-developers. If no one on the team writes code and the task is a finite list of pages, ParseHub or ScrapeStorm will get you there faster than any API.
A managed feed provider fits when you would rather buy the data. If you have no appetite to operate extraction at all and want a delivered feed on a schedule, a done-for-you service like PromptCloud is the right shape, even though you give up self-serve control.
Choosing the right fit
Start from your own situation, not a ranking. If you do not write code, a visual tool wins. If you want a delivered feed and no operations, a managed service wins. If you are a developer choosing among APIs, the decision comes down to which billing model is predictable for your volume, which provider keeps your real success rate high on your specific targets, and how much of the stack you want to operate. ScrapeIt, ScrapingBee, Apify, and Crawlbase can all be the correct answer depending on those weights.
Crawlbase's honest pitch in that group is finished data with the least infrastructure and a pay-only-for-success model that keeps the bill predictable when targets fight back. That fits many teams and not others, and the only way to know which you are is to run your hardest target through two or three candidates and compare on cost-per-successful-page. For a wider view, see our best web scraping tools roundup, the best web scraper API for 2025, and the criteria-based Crawlbase vs competitors guide.
Key takeaways
- ScrapeIt is a capable scraping API. It handles rotation, rendering, and CAPTCHAs behind one endpoint and suits developers who want clean, structured output.
- Compare on the model, not stale dollar figures. Subscription credits, compute units, per-project quotes, and pay-per-success all bill differently; check each provider's current pricing page.
- The unit that matters is cost-per-successful-page on your target. Include the retries, and a model that does not charge for blocked requests can win even at a higher headline rate.
- The real divide is who operates the stack. APIs for developers, visual tools for non-coders, managed feeds for teams that would rather buy the data.
- No tool wins every row. ScrapeIt, Apify, ScrapingBee, and Crawlbase each fit a different need; profile your job, then trial two or three on your hardest target.
Frequently Asked Questions (FAQs)
What is ScrapeIt and what is it good at?
ScrapeIt (Scrapeit Cloud, at scrape-it.cloud) is a developer-focused scraping API. You send a request and it handles proxy rotation, JavaScript rendering, and CAPTCHA solving through a single endpoint, with structured output for common targets like search engines and marketplaces. It is a clean fit when you want an API to call rather than browsers and proxies to run yourself.
How is Crawlbase different from ScrapeIt?
Both are managed scraping APIs with built-in proxies and rendering. The main differences are billing and breadth: Crawlbase bills only for successful requests (failed or blocked requests are not charged) and pairs the Crawling API with Smart AI Proxy, an auto-parsing Scraper API, and an async Crawler for large jobs. Which one fits depends on your volume, targets, and whether the pay-per-success model matters to you.
Which tool is cheapest?
There is no single cheapest, because the pricing models differ and 2023 figures are out of date. Subscription-credit tools, compute-unit platforms, and pay-per-success APIs bill on different units, so the honest comparison is cost-per-successful-page on your own target, including retries. Check each provider's current pricing page; for Crawlbase, see the pricing page.
Do I need to write code to use these tools?
It depends on the tool. ScrapeIt, ScrapingBee, and the Crawlbase APIs are made for developers and need code to integrate. ParseHub and ScrapeStorm are visual, point-and-click tools that need no code. Apify spans both: you can run a pre-built Actor without coding or build your own. Pick based on who will operate it.
Which tool handles JavaScript-heavy sites best?
Most of the APIs here render JavaScript: ScrapeIt, ScrapingBee, Apify, and Crawlbase all offer it, and ScrapingBee in particular is built around scripted browser interactions. The practical test is your own render-heavy target, since the cleanest way to compare is to run the same page through each and read the result rather than rely on a feature checkbox.
How do I migrate from ScrapeIt to another provider?
Run a side-by-side trial before you switch. Point your real workload, especially your hardest targets, at the candidate provider on its free tier, compare delivered pages and cost-per-successful-page against ScrapeIt, and only move the traffic once the new provider clears your own bar. Crawlbase gives you 1,000 free requests with no credit card to run exactly that test.
Crawl any site at scale, without fighting infrastructure.
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