Extracto vs ParseHub

Extracto vs ParseHub compared honestly: API-first typed JSON validated against your schema versus a visual point-and-click desktop scraper with crawling.

How they differ

ParseHub and Extracto solve web data extraction from opposite ends. ParseHub is a visual desktop application (Windows, Mac and Linux) where you click elements on a page and its machine-learning engine infers the data hierarchy, then runs the project in a hosted Chromium browser that handles JavaScript, infinite scroll, forms and pagination across many pages. It is a builder-and-crawler: you design a project once, point it at a site, and let it walk through listings and detail pages. Extracto is an API. You send one URL plus a JSON schema and get back typed JSON validated against that schema, with missing fields returned as null instead of a guessed value. There are no desktop project files to maintain, no CSS selectors to wire up, and no point-and-click UI. If your end goal is structured data flowing into code on a schedule, Extracto removes the project-building layer entirely. If your end goal is a human-driven, exploratory scrape of a multi-page site without writing code, ParseHub's visual workflow is hard to beat.

Feature comparison

Feature	Extracto	ParseHub	Notes
Primary interface	REST API + TS SDK	Visual desktop app (Win/Mac/Linux)	ParseHub wins for non-developers who want to click elements instead of writing code. Extracto assumes you are calling it from an app, script or workflow.
No-code project building	No (schema in JSON)	Yes, point-and-click ML selection	This is genuinely ParseHub's strongest card: it infers element hierarchy visually so non-engineers can build scrapers. Extracto asks you to write a JSON schema instead.
Output format	Typed JSON validated against your schema	JSON/CSV/Excel export of selected fields	ParseHub exports the data you selected, but does not enforce types or a contract. Extracto guarantees the response matches your declared schema or the call fails.
Missing-field behavior	Returns null, never guesses	Empty/absent field, no contract	Both can produce empty values. Extracto makes the absence explicit and typed so downstream code can branch on null rather than parsing surprises.
Multi-page crawling / pagination	Single URL per call	Yes, follows pagination and links	A real ParseHub win. It walks listing and detail pages in one project. Extracto extracts one URL per request; you orchestrate page-to-page iteration in your own code.
JavaScript rendering	Yes, real headless browser	Yes, hosted Chromium	Even match. Both run pages in a real browser, so AJAX, infinite scroll and client-rendered content are handled by each tool.
Managed proxies / IP rotation	Yes, managed, no setup	Yes, rotating IPs on paid plans	Both manage proxies for you. ParseHub's rotating IPs ship on paid tiers; Extracto includes a managed anti-bot rendering layer on every request.
Anti-bot-protected sites	Managed bypass layer (Cloudflare, DataDome, PerimeterX)	Rotating IPs + real browser	Both target protected pages. Extracto bundles a dedicated managed anti-bot layer; ParseHub relies on its browser plus IP rotation to reach difficult sites.
Scheduling / automation	Via your own cron/queue + async jobs	Built-in scheduled runs	ParseHub has native scheduling inside the product, which is convenient. Extracto exposes async jobs and expects you to trigger them from your scheduler or workflow tool.
Forms, dropdowns, logins, pop-ups	Public pages; login-gated on Enterprise	Handles forms, dropdowns, login pages	ParseHub can script interactions like clicking dropdowns and dismissing pop-ups in its visual flow. Extracto focuses on public HTTPS URLs, with session-gated content on Enterprise.
Developer integration	API-first, typed SDK, fits CI/pipelines	API available but app-centric	ParseHub has an API but the product is built around the desktop app and projects. Extracto is designed to be called directly from code as the primary path.
Maintenance model	Schema in version control	Desktop project files	Extracto's schema lives in your repo and diffs cleanly. ParseHub projects are managed inside the app, which suits visual editing but is harder to code-review.

Pricing

Pricing changes often, so treat these as directional and check both sites. As of 2026 ParseHub offers a free-forever plan (reported around 200 pages per run, a small number of public projects, and a run-time cap on complex sites) with paid plans commonly starting near $189 per month for faster runs, more pages per run, and longer data retention, plus a custom/enterprise tier. ParseHub generally meters by pages and run speed. Extracto meters by credits per call at one flat rate: a scrape is 1 credit and an AI extraction is 5 credits, while anti-bot, residential proxies, and JavaScript rendering are included at the same price with no multiplier for protected pages. You only pay when a request works, since failed requests and cache hits are free. Compare on the unit that matches your workload (pages crawled versus URLs extracted) rather than headline price alone.

Pricing for ParseHub reflects their public plans at the time of writing. Check their site for current numbers.

Migrating to Extracto

1

Inventory what your ParseHub project produces

Open the ParseHub project and list the fields it selects per page and the export columns. This becomes the target shape. Note which fields are required and which are frequently empty, since Extracto will return those as typed null instead of blank cells.
2

Translate selected fields into a JSON schema

Rewrite the ParseHub element selections as a JSON schema describing each field name and type. You do not port CSS or point-and-click selectors. Extracto reads the page through a real browser and fills the schema, so you describe the desired output, not how to find it on the page.
3

Replace the crawl loop with per-URL calls

ParseHub walks pagination inside one project. In Extracto you call one URL per request, so move the page-to-page logic into your code: collect listing URLs first, then call Extracto for each detail URL. Use async jobs and retries for large batches instead of one long run.
4

Wire scheduling and validation into your stack

Recreate ParseHub's built-in scheduled runs using your own cron, queue or workflow tool to trigger Extracto jobs. Because responses are validated against your schema, you can fail fast on contract drift and branch on null fields, replacing the manual export-and-clean step you did after a ParseHub run.

When to choose which

Choose ParseHub when a non-developer needs to build and run a scrape without writing code, when you want to visually click elements and let machine learning infer the structure, or when the job is inherently a multi-page crawl that follows pagination and links across a site. Its built-in scheduling, free desktop app, and ability to script form fills, dropdowns and pop-ups make it a strong fit for one-off research, exploratory scraping, and teams without engineering time to spend. Choose Extracto when extraction lives inside code: you want one URL plus a JSON schema to return typed JSON validated against that schema, with missing fields as null rather than a guess, and no desktop project files or CSS selectors to maintain. Extracto fits API-first pipelines, CI jobs and product features where a strict data contract and a managed anti-bot rendering layer matter more than a visual builder. If you need both a visual crawler and a typed API contract, it is reasonable to prototype in ParseHub and run production extraction through Extracto.

Extracto vs ParseHub: FAQ

Is Extracto a no-code visual scraper like ParseHub?

No. ParseHub is a visual desktop app where you point and click on page elements and its machine learning infers the structure. Extracto is an API: you send one URL and a JSON schema from your code, and it returns typed JSON. There is no point-and-click builder, so Extracto suits developers and automated pipelines rather than fully no-code, exploratory scraping by hand.

Can Extracto crawl an entire site with pagination the way ParseHub does?

Not in a single request. ParseHub follows pagination and links across many pages inside one project, which is one of its genuine strengths. Extracto extracts one URL per call, so you collect the listing URLs first and then call Extracto for each page, orchestrating the loop in your own code using async jobs and retries for larger batches.

Do both tools handle JavaScript-heavy and anti-bot-protected pages?

Yes, both render pages in a real browser, so AJAX, infinite scroll and client-rendered content work in each. ParseHub adds rotating IPs on paid plans, while Extracto includes a managed anti-bot rendering layer on every request that handles protected sites such as Cloudflare, DataDome and PerimeterX, with proxies managed for you and no setup required.

What happens when a field is missing on the page?

Extracto returns that field as a typed null instead of inventing a value, so downstream code can branch on null safely and you can detect contract drift. ParseHub will typically leave the field empty in the export, but it does not enforce a schema or types, so you usually clean and validate the exported data yourself after a run finishes.

How does pricing compare between Extracto and ParseHub?

As of 2026 ParseHub has a free plan and paid tiers commonly starting near $189 per month, metered mainly by pages and run speed. Extracto meters by credits per call at one flat rate, where a scrape is 1 credit and an AI extraction is 5 credits, and anti-bot, residential proxies, and JavaScript rendering are included at the same price with no multiplier for protected pages. Compare on the unit that matches your workload, pages crawled versus URLs extracted, and verify current numbers on both sites since pricing changes.

← All comparisons Try Extracto free →