Apify Web Scraper Alternatives: Flat-Price and Local (2026)

Apify’s subscription is a prepayment, not a price. The $19 Starter plan buys $19 of platform credits, unused credits expire at month’s end, and a free plan that burns through its $5 stops running actors until the next cycle. For anything the marketplace doesn’t cover I keep a flat-price or local tool on the second monitor, and this page sorts the Apify web scraper alternatives into those two shelves, free-and-local and flat-monthly, ran the local ones against a live site this morning (October 16, 2026, home connection), and did the credit arithmetic Apify’s pricing page leaves to you.

The verdict first. If you’re here for Apify’s ready-made actors for Instagram, Google Maps, or X, nothing below replaces them, and I’d rather write that in the first paragraph than bury it. Local tools won’t ship the proxy pools and CAPTCHA solving those jobs need, by policy as much as architecture. If you use Apify as a general web scraper, a crawler feeding an LLM, or a scheduled job whose bill wobbles month to month, the tools below do the same work with no meter. (This page is part of the web scraping tool alternatives series; every page there follows the same tested-here rule.)

Tool	The job it takes over	Runs where	The meter	Entry cost
Apify (baseline)	Everything, via actors	Cloud	Compute units + per-result actors + proxies	Free ($5 credits); $19/mo prepaid
Crawlee	Your own crawl code, minus the cloud bill	Your machine	None	Free (Apache-2.0)
Scrapy	Owned Python pipelines at any scale	Your machine	None	Free (BSD)
Magpie	Crawls, clean markdown, 27 typed extractors	Your machine	Flat licence	Free CLI; Desktop $49/mo after 5 runs
ScrapeGraphAI	LLM extraction with your own key	Your machine	Your LLM tokens	Free (MIT)
Octoparse	No-code extraction without actor-shopping	Desktop + cloud	Task quotas on paid plans	Free (10 tasks, 50k rows/mo); from $69/mo
ParseHub	Click-to-train extraction	Desktop	Pages-per-run caps	Free (200 pages/run); $189/mo paid

Ordering is by the job each tool takes over, not by score. Each entry names the job it wins and the one it loses.

What the Apify web scraper is (and isn’t)

Apify is a runtime with a store attached. Actors are containerized scrapers, thousands of them prebuilt by Apify and third parties, and the platform runs them on your schedule, on its hardware, with its proxies. The actor this page is named for, Web Scraper, is the generic one: it drives Chromium, accepts a JavaScript pageFunction you write to pull fields from each page, and, in its README’s phrasing, “turns any web page into an API.” The store page counts 125,921 total users and a 4.71/5 rating. The actor itself is free; what you pay for is the compute underneath, $5 of which buys, by the README’s estimate, 500 to 1,000 pages.

What the platform gives you is real. Cloud concurrency up to 32 parallel runs on Starter, 128 on Scale. Scheduling, proxies, retries, and a dataset API on every run. Anti-blocking infrastructure that no local tool will ship you. If your job is “Instagram profiles every morning” or “50,000 Google Maps places, cleaned,” the store has an actor for it and the platform is the right home. Those jobs are exactly why Apify exists.

Why people look for an Apify scraper alternative

The compute unit is where the confusion starts, so here is the whole model from Apify’s pricing page: 1 CU is 1 GB of RAM running for one hour, priced at $0.20 on Free and Starter, $0.16 on Scale, $0.13 on Business. Every paid plan’s monthly fee is an included usage budget, so Starter’s $19 is prepayment for 95 CUs, not a flat price. Credits don’t roll over. Exceed the free plan’s $5 and the account locks until the next cycle, which is an interesting thing to discover at 6 a.m. when the scheduled runs stop.

Here’s the part the “Apify is expensive” threads get wrong: generic crawling is cheap on this meter. A 25-page crawl in a 1 GB actor for eight minutes is 0.13 CU, about three cents. That’s the floor; real runs add browser startup, retries, and storage, which is why the README’s own budget estimate runs five to ten times higher per page. Either way, the bill concentrates elsewhere.

• Per-result actors. Actors that price by output bill on top of platform usage. The math from third-party docs tracking Apify’s store: $5 of credit buys about 1,250 Google Maps places, which works out to $4 per thousand. Harvest 50,000 places a month and the meter reads roughly $200, every month, forever.
• Residential proxies. $8/GB on Free and Starter. A proxy-heavy job moving 10 GB adds $80 you may not have modeled.
• Renting maintenance. A store actor is someone else’s code reacting to someone else’s site redesign. When the author loses interest, your production job breaks and your options are a fork or a search for a replacement actor.

If your monthly bill is three cents, stay. If it’s $200 of per-result charges against a job that never grows cheaper, the flat and local shelves below are the exit.

The local, free shelf

Crawlee: keep the code, cancel the meter

Crawlee is Apify’s own open-source library (Apache-2.0, TypeScript with a Python version), and it is the strangest entry here: the vendor ships the tool you’d use to leave the platform. Your pageFunction logic ports over almost directly, runs on your machine or any CI box, and the runtime throws in retries, queues, and dataset storage. I installed it today (npm install crawlee, 293 packages, version 3.18.2) and ran the same job I gave every local tool below: 25 pages of books.toscrape.com at one request per second.

$ node run.mjs
{"rows":399,"seconds":41.2}
[{"title":"A Light in the Attic","price":"£51.77","stock":"In stock"},
 {"title":"Tipping the Velvet","price":"£53.74","stock":"In stock"}]

Twenty-five requests, 399 rows of title, price, and stock, 41 seconds. The friction showed up on the way: the library doesn’t follow links until you call enqueueLinks with a glob yourself, the polite delay between requests is a sleep() you write, and an option was renamed between versions, which cost me one stack trace. That’s the honest shape of the trade. You get the whole pipeline for $0 and you own every line that makes it work. Crawl4AI sits on this same shelf, tuned for LLM output instead of datasets.

Scrapy: the framework under half the industry

Scrapy has been the default answer since 2008, BSD-licensed, and its numbers are the ones no pricing table can argue with: no page caps, no per-minute throttle, no terms-of-service change repricing your workflow. Spiders live in version control and run anywhere from a laptop to a cron box. The costs are yours: no JavaScript rendering without the scrapy-playwright plugin, no anti-blocking beyond what you configure, and a real learning curve. I lost a weekend to a misconfigured rate limiter in Scrapy once, which is the price of ownership stated plainly. If your extraction is custom and long-lived, nothing on this page beats it.

Magpie: local, flat-priced, and honest about the gap

Magpie is a local-first scraper from Motherlode Lab: a single Go binary (CLI plus a desktop app) whose pipeline fetches static-first and escalates to a real browser only when a page needs JavaScript. It is the tool I use for the jobs Crawlee wants me to code: the crawl above took one command, no script.

$ magpie crawl 'https://books.toscrape.com/' --corpus --max-pages 25 --rate 1
run_id=0bb08c4a41ad6563-108609 pages_ok=25 pages_err=0 records=25

25 pages, zero errors, 24.6 seconds, 4,943 words of cleaned main-content markdown, zero LLM calls. Same politeness budget as the Crawlee run, half the wall time, no selector code. Where a job wants structure instead of prose, 27 built-in verticals extract typed records from known page types with no API key; the youtube vertical on a music video returned author, title, view count (1,827,081,040 at run time today), and duration in 2.4 seconds. Schemas you define run through any of seven LLM providers, including Ollama on your own hardware, and a self-healing selector cache re-synthesizes pickers when a site redesigns. The dynamic-pages guide shows the escalation logic end to end, and the login guide covers session handling.

The gap, stated plainly: Magpie has no ready-made social or Maps actors, which is Apify’s actual pull. It cannot extract Instagram, Facebook, X, TikTok, or Google Maps at all. It detects bot challenges but never solves CAPTCHAs. There is no cloud: schedules are your cron, and nothing runs while your machine is off. And it isn’t free forever; the core CLI is (AGPL-3.0-or-later or a paid commercial licence), but the desktop app stops at 5 free runs per install, then costs $49 a month, flat. That flat line is the point: row 100 or row 100,000, the bill doesn’t move.

ScrapeGraphAI: local LLM extraction with your own key

ScrapeGraphAI is an MIT-licensed Python library that drives extraction with LLM “graphs”: you name the fields, it prompts a model against the page. It runs fully local if you point it at Ollama, making it the cheapest route to schema-driven extraction that exists, since your costs are tokens on your own key. The costs are real anyway: token spend per page, latency in seconds instead of milliseconds, and extraction quality that wobbles on odd layouts where a CSS selector or a trained vertical wouldn’t. I didn’t benchmark it for this page because its output depends on the model you attach, and quoting someone else’s model’s numbers would be theater. Pick it when the pages have no stable structure worth coding against.

The flat-monthly, no-code shelf

Octoparse: point-and-click with saner numbers

Octoparse is the visual-builder pick: click your fields in a rendered page, loop and paginate visually, run on your desktop or their cloud. The free plan is permanent and useful, 10 tasks and up to 50,000 exported rows a month by its own numbers. Paid tiers start at $69 a month, and that’s where scheduling, cloud runs, and the anti-blocking stack (IP rotation, automatic CAPTCHA handling) start. The meter here is task quotas rather than compute hours, so it’s predictable in a way Apify’s isn’t, and the trade is a builder that’s slower to master than Apify’s store is to search.

ParseHub: click-to-train, desktop-first

ParseHub trains the way you wish every tool did: click the data on the live page and it infers the repeating pattern. The free tier caps at 200 pages per run across five public projects, and the first paid tier is $189 a month as of October 2026. It’s the closest no-code match for “I just want to click the data” on this page, and its price curve is the steepest, which is why it has its own comparison page with the full math.

Still hosted, still metered

The alternatives most listicles recommend, Firecrawl, ScraperAPI, Bright Data, are all metered usage models wearing different logos. Firecrawl, the LLM-markdown pick, gives 1,000 credits free monthly and charges from $19 for 5,000, checked October 2026; every page rendered is a credit, so the bill scales exactly the way you’re trying to leave. They’re good tools for jobs that need a hosted API, and the Firecrawl page covers that economics honestly. Just don’t call the switch a pricing fix.

Pricing reality check: two jobs, both meters

Job 1: crawl 500 pages a day, every day, into an LLM pipeline. On Apify, that’s about 15,000 pages a month, and the Web Scraper README’s own estimate, $5 of credit per 500 to 1,000 rendered pages, puts the bill at $75 to $150 monthly. Cheaper static-page actors shrink it; local tools erase it. Crawlee or the Magpie corpus crawl do the same job for $0 and one cron line, or a flat $49 if you want the desktop app.

Job 2: 50,000 Google Maps places a month. Apify, roughly $200/mo in per-result charges, indefinitely, plus proxy if the job is heavy. Local tools: disqualified, as stated up front; they can’t do it. A flat data vendor or staying on Apify are the real options, and pretending otherwise is how alternatives listicles lie. This is the job that keeps Apify in business, and it should keep it in your stack too.

Which alternative to pick

Already writing pageFunctions? Port them to Crawlee tonight and delete the platform fee where the compute math allows. Python shop with custom targets? Scrapy, and keep scrapy-playwright in your back pocket. Want crawl-to-markdown and typed extractors without owning crawl code, on a flat bill that never moves? Magpie’s free download and five runs will tell you in an hour whether the local trade suits you. No-code and API-free? Octoparse at $69 before ParseHub at $189. And if the job is Instagram, Maps, or anything behind a wall, none of this page applies; rent the actor.

FAQ

Is there a free alternative to Apify? Several. Crawlee and Scrapy are free open-source libraries that run locally with no usage caps. Magpie’s core CLI is free, and ScrapeGraphAI is free if you supply the model. For no-code, Octoparse’s free plan covers 10 tasks and 50,000 rows monthly.

What is a compute unit in Apify? One GB of RAM running for one hour. It costs $0.20 on the Free and Starter plans, $0.16 on Scale, and $0.13 on Business. Paid plans include usage equal to their monthly price, and unused credits expire at each cycle’s end.

Do Apify credits roll over? No. Apify’s pricing page is explicit that unused usage credits expire at the end of the billing cycle. On the free plan, exceeding the $5 monthly credit blocks access until the next cycle starts.

Can Magpie replace Apify’s Instagram or Google Maps actors? No. Magpie cannot extract Instagram, Facebook, X, TikTok, or Google Maps, and it never solves CAPTCHAs. Those jobs need the proxy and unblocking infrastructure that hosted platforms charge for, which is the honest reason to keep paying them.

What’s the best open-source Apify alternative? Crawlee for JavaScript and TypeScript teams, especially if you’re porting existing actor code. Scrapy for Python teams with custom, long-lived pipelines. Both are free, mature, and run entirely on your hardware.