ParseHub Alternatives: 6 Options Compared (2026)

ParseHub’s free plan stops at 200 pages per run, and its first paid tier costs $189 a month. That cliff sends people looking for a ParseHub alternative, and usually not because the tool fails. The point-and-click builder works; the price curve bends wrong once a project outgrows the cap. I priced all six options below, ran the ones worth running, and did the page math the vendor pages leave out.

The short version. Want ParseHub’s click-to-select style with a lower price floor? Octoparse. Monitoring a handful of pages for changes rather than harvesting thousands? Browse AI. Need a specific site done tomorrow and don’t want to build anything? Apify’s Actor store. A developer who wants to own the pipeline? Scrapy. Feeding an LLM and want markdown from an API call? Firecrawl. Want the data to never leave your machine, and willing to describe schemas instead of clicking? Magpie. And if 200 pages per run genuinely covers your job, stay put: ParseHub is still good at what it does.

Tool	Best for	Price floor	Beats ParseHub at	The catch
Octoparse	Like-for-like visual swap	$0 (10 tasks, 50k rows/mo); paid from $69/mo	A free tier with 250× the export volume	Cloud runs, templates, and anti-blocking sit behind paid plans
Browse AI	Watching pages for changes	$0 (50 credits/mo); $19/mo annual	No-install cloud robots with change monitoring	50 credits vanish fast; credit math is opaque
Apify	Renting a finished scraper for a known site	$0 ($5 platform credit/mo), pay per Actor	Thousands of ready-made Actors, no building	Costs scale with every run; you’re renting, not owning
Scrapy	Developers owning the pipeline	Free (BSD, Python)	No page caps, no per-minute throttle, versionable code	You write Python; blocks and proxies are your problem
Firecrawl	Markdown for LLM pipelines	$0 (1,000 credits/mo); from $19/mo	One API call returns clean markdown	No visual builder; every page costs credits
Magpie	Local-first scraping with AI extraction	Free core (AGPL); Desktop $49/mo after 5 runs	Self-healing selectors, 27 zero-LLM verticals, fully local	No point-and-click builder, no site templates

Ranking is by fit, not by score: each entry below states the job it wins and the job it loses.

What ParseHub does well

Honesty first, because the alternatives pages that skip this section are selling something. ParseHub’s point-and-click builder is the lowest learning curve in the category: you click the data on the live page, it figures out the repeating pattern, and you handle pagination or dropdowns by clicking through them once. It renders JavaScript, survives sites where raw HTTP gets nothing, and exports to Excel, JSON, or Google Sheets. The desktop app runs on Windows, macOS, and Linux.

The free tier is real, too: five projects, 200 pages per run, forever. A reviewer who called it “the biggest waste of time” after hours stuck on one project had the opposite experience, and both things are true. ParseHub rewards patience; most of the tools below are built for people who’ve run out of it.

Why people look for a ParseHub alternative

The math is where the free plan stops feeling free. ParseHub’s help center caps each worker at five pages per minute, so a full 200-page run burns at least 40 minutes at the ceiling. A 1,000-product category page needs five of those runs: over three hours of runtime for one catalog, on the plan that’s supposed to cost nothing.

The free plan’s projects are also public. That’s the “public” in “5 public projects”: your selection logic and scraped results sit on ParseHub’s servers where anyone with the link can see them. For price research or competitor monitoring, that alone disqualifies the free tier.

Then the jump. Standard costs $189 a month as of October 2026 (it was $149 in older reviews), and that’s what buys private projects, scheduling, the API, and IP rotation. Exceed your plan’s speed limit and runs queue until capacity frees up. For a solo operator, $189 is a serious line item next to Octoparse’s $69, and the reviews saying so are not wrong.

Octoparse: the like-for-like swap

Octoparse is the closest thing to ParseHub’s model: a visual workflow builder, point-and-click selection, templates for common sites, and cloud runs with scheduling. The difference is the floor. The free plan is permanent, needs no credit card, and gets you 10 tasks, local extraction, and up to 50,000 rows of export per month. ParseHub’s free tier exports the same 200 pages per run it limits; Octoparse’s exports 50,000 rows monthly and doesn’t publish your projects.

Paid starts at $69 a month for cloud extraction and scheduling, a third of ParseHub’s entry price. The trade: the free template library requires a trial to use fully, and the anti-blocking features (IP rotation, scheduled cloud runs) live on paid tiers, so the free plan is a local-extraction tool. If what you want is ParseHub with saner numbers, this is the switch. I went through the full Octoparse comparison separately, including where its builder still trails ParseHub’s.

Browse AI: when you’re monitoring, not harvesting

Browse AI inverts the model. You train a robot by pointing it at a page, it runs in Browse AI’s cloud on a schedule, and it emails you when the data changes. No install, no infrastructure, and the monitoring loop that ParseHub gates behind $189/month is the product’s core.

The free plan gives 50 credits a month and a couple of domains, which is a taste, not a workflow. Starter is $19 a month billed annually; Professional is $99. The catch that shows up in every serious review: credits burn at different rates per task, premium sites cost 2–10 credits minimum, and Capterra reviewers flatly say the billing formula is hard to predict. Bulk harvesting is the wrong job for it; a 10-page watchlist is exactly the right one. I broke down Browse AI’s credit math on its own page.

Apify: rent an Actor instead of building a project

Apify is a marketplace with a runtime attached. Its store holds thousands of ready-made Actors (prebuilt scrapers), including ones for Amazon, Google Maps, and Instagram, so the common move is paying a few dollars for someone else’s maintained scraper instead of building your own. The free plan hands you $5 of platform credit monthly; after that you pay per Actor and per compute unit.

This is the fastest path from “I need Amazon product data” to having Amazon product data. At the far other end of the market, Bright Data sells enterprise datasets and proxy networks, but its pricing is sales-led; nobody who blanched at ParseHub’s $189 is the customer there. The costs closer to home are the opposite side: heavy Actors plus compute time add up fast at scale, quality varies by Actor author, and you own nothing. ParseHub makes you build and then keeps you on a meter; Apify skips the building and never gets off the meter. For one-off site jobs, though, renting wins. My Amazon walkthrough pairs well with a store Actor if product data is the job.

Scrapy: own the whole pipeline

Scrapy is the free, boring, correct answer for anyone who can write Python. BSD-licensed, open-sourced in 2008, no page caps, no per-minute throttle, no terms-of-service change able to reprice your workflow overnight. Your spiders live in version control, run anywhere from a laptop to a cron box, and break exactly as often as the sites do, which you fix in code.

What you give up is everything ParseHub sells: no click-to-select builder, no rendering JavaScript without extra setup (Scrapy Playwright fills that gap, as a plugin you maintain), no hosted schedules. Anti-blocking is your job: throttles, proxies, retries. I lost a weekend to a rate limiter I misconfigured in Scrapy once, which is the honest price of ownership. Developers searching for a ParseHub alternative usually want fewer limits, and Scrapy is the floor of limits.

Firecrawl: markdown for LLM pipelines, by API

Firecrawl takes a URL and returns clean markdown from a single API call, rendering JavaScript when the page needs it. It was built for the RAG-and-agents crowd, and that shows: no visual anything, no project concept, just an endpoint. The free tier is 1,000 credits a month; Hobby is $19 for 5,000, Standard $99 for 100,000, checked October 2026.

Against ParseHub it wins on output shape (LLM-ready markdown, not spreadsheet rows) and on integration effort (one curl, not a desktop app). It loses on structure: you don’t click-select fields, so extraction means prompting or post-processing, and every page burned is a credit. If your “scraping” project is really “get clean text into a model,” this is the tool. If you need rows in Excel by Friday, it is not, and the Firecrawl deep dive covers the credit economics in detail.

Magpie: local-first, with AI extraction, and two real gaps

Magpie covers ParseHub’s job a different way: you describe what you want as a schema, and its AI extraction pulls the fields. Seven LLM providers are on the switch, including Ollama running locally on your own hardware. There is no point-and-click builder. There are no ready-made site templates. If your workflow is click-select-replay, those two gaps are disqualifying, and I’d rather say that in one sentence than lose you three screens later.

What it has instead: a local Go binary (CLI plus a desktop app) whose fetch pipeline starts static and escalates to a real browser only when a page needs JavaScript. I ran it today while writing this. A scrape of Hacker News returned a clean 30-row table in 1.9 seconds. A JavaScript-only quotes page got refused by the quality gate in static mode rather than silently returning an empty shell; with --render browser the same page came back in 6.9 seconds with a 183 KB screenshot. Selectors are cached per domain and schema, and when a site redesign breaks one, the cache re-synthesizes it, which is the resilience ParseHub users get by re-clicking their projects by hand. Twenty-seven verticals (jobs, events, articles, RSS, and more) extract with zero LLM cost, watch mode pages you via webhook on change, and a 13-tool MCP server lets coding agents drive the whole thing. The dynamic-pages guide shows the escalation logic in detail.

The positioning is the opposite of everything else on this page: data never leaves your machine, robots.txt is respected, throttling is automatic, and there is no cloud service or hosted API at all. The core CLI is free (AGPL-3.0-or-later, or a commercial license); the Desktop app gives 5 free runs per install, then $49 a month. Magpie also can’t extract the walled gardens (Instagram, Facebook, X, Amazon review text among others), doesn’t bypass CAPTCHAs, and isn’t a browser extension. Whether the cloud-versus-local trade is worth giving up the visual builder is its own discussion, but the short version: local-first scraping means your targets, your schema, and your data stay yours.

When ParseHub is still the right answer

Every alternatives page lists escape routes; almost none admit the incumbent keeps some passengers. Stay with ParseHub if all three hold: your runs fit inside 200 pages, you want click-to-select more than you want private projects, and public visibility of free-tier projects doesn’t bother you. A lecturer pulling 150 news headlines a week fits that description exactly. Paying $189/month to leave a working tool is not a win, and the full head-to-head makes the crossover point concrete.

FAQ

Is there a free alternative to ParseHub? Several. Octoparse’s free plan allows 10 tasks with 50,000 rows of monthly export. Scrapy is fully free if you write Python. Magpie’s core CLI is free, and Apify includes $5 of monthly credit. Browse AI’s 50 monthly credits are a trial, not a plan.

Is ParseHub still free in 2026? Yes, with the same shape as before: 5 public projects, 200 pages per run, local execution. The paid Standard plan is $189/month as of October 2026, which unlocked private projects, scheduling, API access, and IP rotation.

What is the cheapest ParseHub alternative with cloud runs? Browse AI at $19/month billed annually for scheduled cloud robots, or Octoparse at $69/month for cloud extraction with scheduling. Apify fits if your target already has a store Actor, since you pay per run instead of a subscription.

Can a ParseHub alternative handle JavaScript-heavy sites? All six here do, differently. ParseHub, Octoparse, and Magpie render pages in a real browser (Magpie escalates only when the static fetch returns a shell). Browse AI and Apify run their rendering in the cloud. Firecrawl auto-escalates per request, burning extra credits on hard pages.

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Run ParseHub’s free tier against your real target once before deciding anything. If 200 pages covers the job and an afternoon of clicking gets your selection, stay. If not, pick by shape. Octoparse keeps the visual style at $69. Firecrawl if the output is going into a model. Scrapy if you’d rather write Python than click. Magpie if the data can’t leave your machine. Browse AI if what you actually wanted was to be told when the page changes.