Screaming Frog Alternatives for Crawling & Extraction

Screaming Frog is an SEO auditor that happens to crawl, and half the people who search for a screaming frog alternative don’t want a better auditor. They want the crawl and the extraction without the £199-a-year licence, the 500-URL free cap, or results that die in a spreadsheet. This page sorts the alternatives by the job you actually need done, with numbers from runs I did this morning (October 16, 2026, home connection).

The verdict first. If your job is a technical SEO audit (broken links, duplicate content, meta lengths, redirect chains), nothing below replaces Screaming Frog, and I’d rather write that in the second paragraph than bury it. If your job ends at a clean dataset, a content feed, or a corpus for an LLM, the tools below do that work for free or at a flat price. One of them is Magpie, the tool I use for this. Its honest label applies to it too: it crawls and extracts, but it produces no SEO audit reports. If you need the reports, keep the Frog. (This page is part of the web scraping tool alternatives series; every page there follows the same ran-it-myself rule.)

Tool	The job it takes over	Runs where	Cost	What you get out
Screaming Frog (baseline)	Technical SEO audits driven by a crawl	Your desktop (Java app)	Free to 500 URLs; £199/yr per user	Audit tabs: status codes, dupes, meta; exports to Excel/CSV
Magpie	Whole-site crawls that end in clean, typed data	Your machine, CLI or desktop app	CLI free (AGPL-3.0 or commercial); Desktop 5 free runs, then $49/mo	JSONL corpus: one clean-markdown record per page, zero LLM calls
Scrapy	Custom extraction pipelines you own in code	Your machine (Python)	Free (BSD)	Items in any format your pipeline writes
Crawl4AI	Crawls whose output feeds an LLM	Your machine (Python)	Free (Apache-2.0, attribution required)	LLM-ready markdown and structured JSON
wget / HTTrack	Plain site mirroring	Your machine	Free (GPL)	Raw HTML files, byte-for-byte
Firecrawl	The same crawl behind a hosted API	Their cloud	Free 1,000 credits/mo; $19–83+/mo	JSON with markdown per page, 1 credit/page
Octoparse	Point-and-click extraction without code	Desktop + their cloud	Free (10 tasks, 50k rows/mo); from $69/mo	Spreadsheet exports and API endpoints

Sorted by the job: local pipeline first, code frameworks next, mirrors, then hosted and no-code.

What the Screaming Frog SEO Spider actually is

Version 24.3 is the current build (checked October 16, 2026), and its feature list is an audit checklist: find broken links and redirects, analyse titles and meta, audit hreflang, catch exact and near duplicates, generate XML sitemaps, validate structured data, run spelling and accessibility checks, and pull in Google Search Console, Analytics, and PageSpeed data. JavaScript rendering works through a bundled Chrome. Scheduling and a headless mode exist for recurring crawls. It runs on Windows, macOS, and Linux as a Java desktop application.

Custom extraction is the part this page cares about, and it works: you write XPath, CSS Path, or regex selectors, the data lands in a Custom Extraction tab while the crawl runs, and the export buttons hand you a spreadsheet. For a one-off pull (every product’s price, every article’s publish date), this is a genuinely good workflow, and Screaming Frog’s own tutorials treat it as exactly that.

The limits show up when the job is not an audit. The free version caps at 500 URLs. The paid licence is £199 per year, per user, and renewals are yearly by design (five or more licences drop to £189 each). There is no REST API: the headless CLI mode requires a licence, and its --export-tabs flag dumps tab data to files that other tools parse after the fact. Community “APIs” for Screaming Frog are wrappers around those exports. And because it is a Java app holding a site in memory, the ceiling on crawl size is your allocated RAM, a limit their own FAQ states plainly.

Why people look for a Screaming Frog alternative

Four reasons come up again and again, and all four are fair.

The 500-URL cap. The free version is not a trial in time but a trial in size, and 500 URLs is a mid-sized blog. Any e-commerce or docs site blows through it in one crawl.

The per-user, per-year licence. £199 per person, every year. A two-person team pays £398 annually to keep crawling, forever. That is the correct business model for software with support bills, and it is still the moment many solo operators start shopping.

Spreadsheet-shaped output. Exports are the product’s end state. If the next consumer of your data is a database, a CMS, or an LLM pipeline, you are writing the parsing and loading glue yourself, every time the crawl runs.

No programmatic surface. No API means no integration. You cannot fire a crawl from a webhook, chain it into a deploy, or pull yesterday’s extraction from a service. The headless CLI narrows this for scheduled audits, but it is still batch-exports to disk.

The alternatives, by job

1. Magpie: crawl and extract, skip the audit report

Magpie is a local-first scraper (single static Go binary, CLI plus a desktop app) whose pipeline is fetch, clean, extract. The crawl mode is the direct substitute for “Screaming Frog, minus the audit tabs”. Here is the run from this morning, on quotes.toscrape.com, at the default polite rate of 1 request per second:

$ magpie crawl https://quotes.toscrape.com --corpus --max-pages 12 --max-depth 1 --out quotes-corpus.jsonl
crawl: run_id=4c83e1f16a872f74-45348 pages_ok=12 pages_err=0 records=12

That is 12 pages, zero errors, 17.6 seconds, and 3,466 words of cleaned main-content text in a JSONL file: one {url, title, depth, markdown} record per page, zero LLM calls, no API key. Boilerplate is gone. No selectors were written. For a single page, the same shape holds: magpie scrape https://quotes.toscrape.com --page-format markdown returns a JSON record with the URL, title, clean markdown, and a structured_data field for JSON-LD when the page has it.

Where it goes further than the Frog for extraction work: 27 zero-LLM vertical extractors (article, event, job posting, local business, and more) pull typed records from pages that carry the right markup, and schema-driven extraction runs through any LLM provider you configure, including local models via Ollama. The desktop app wraps all of it in a GUI with history and a 13-tool MCP server for AI agents. The core CLI is free under AGPL-3.0-or-later or a commercial licence; the desktop app gives you 5 free runs per install, then $49/month.

The limit, stated plainly because the plan requires it and because it is true: Magpie has no SEO audit reports. No broken-link inventory, no duplicate-content detection, no meta-length flags, no crawl comparison. If those tabs are your deliverable, this is not your tool. The build a web crawler and extract text from a website guides show the crawl-and-extract half in depth.

2. Scrapy: the pipeline you own

Scrapy 2.19.0 shipped September 10, 2026, and the framework has been the default answer since 2008 under a BSD licence. A spider defines how to follow links and how to parse each page; items flow through pipelines you write; output can be JSON, CSV, databases, whatever your code says. There are no page caps and no licence, and the spider lives in version control where every change is reviewable.

The trade is that you are the engineer. JavaScript rendering needs the scrapy-playwright plugin, politeness pacing is configuration you set and own, and every site redesign is your ticket. Compared to Screaming Frog’s GUI, you lose the audit tabs entirely and gain a pipeline that runs unattended at any scale your hardware allows. If extraction is a standing part of your engineering job, this is the strongest free option on the page.

3. Crawl4AI: extraction shaped for LLMs

Crawl4AI is a free Python library built around one idea: crawl output should arrive ready for a model. It runs Playwright browsers, returns cleaned markdown by default, and can shape results with CSS selectors or LLM strategies. The project sits above 85,000 GitHub stars (October 2026). Licence is Apache-2.0 with a wrinkle the README makes explicit: they ask projects to include an attribution badge, which matters if your employer polices licence obligations strictly.

Pick it over Scrapy when the destination is a RAG index or a prompt pipeline rather than a database. Pick it over Magpie when you want to own the Python layer. The Crawl4AI alternatives page covers setup and limits in depth; several other pages in this series already hand off to it, which tells you how often the “feed an LLM” requirement shows up.

4. wget and HTTrack: the mirror shelf

The oldest screaming frog alternative is not a scraper at all. wget ships on every Linux box (1.21.4 here), and HTTrack adds a GUI on the same idea: copy the site to disk. I ran wget against the same test site on the same 1-second wait:

$ wget -r -l1 -np --wait=1 https://quotes.toscrape.com/

49 files, 844K, 87 seconds: 38 HTML pages plus CSS and assets, byte-for-byte. That is the whole point and the whole problem. A mirror is not a dataset. Every quote, author link, and navigation string is still embedded in raw HTML, and turning that into rows is the job you were trying to avoid. This shelf wins when you need an archival copy or an offline browse, and loses everywhere else. The HTTrack alternative page takes the GUI route seriously.

5. Firecrawl: the crawl as a hosted API

Firecrawl turns crawling into an HTTP call: send a URL, get JSON with markdown back, no local anything. The free plan includes 1,000 credits a month, and each page bills 1 credit, so one 1,000-page crawl spends the month. The Standard plan is $83/mo billed annually with 100,000 credits. For teams without a machine to run things on, or agents that need a URL and a key, that is a fair trade; for recurring crawls the credits are the meter Screaming Frog’s licence at least keeps flat. The numbers here come from the same checks as the Firecrawl alternative page (both verified October 16, 2026).

6. Octoparse: the GUI route without the licence

Octoparse is the closest shape to Screaming Frog for people who want a desktop GUI and no code: click through a site to train an extraction, schedule it, export to spreadsheets or an API endpoint. The free plan covers 10 tasks and 50,000 rows a month; paid starts at $69/mo. It does not do SEO audits either, so like Magpie it takes the extraction half of the job and leaves the audit half alone. The Octoparse alternative page has the full breakdown.

Stay on Screaming Frog for these jobs

The audit is the product, and it is good. Crawl comparison (diff this month’s crawl against last month’s) has no equivalent on this page. Scheduling, near-duplicate detection, spelling and accessibility checks, Search Console and Analytics overlays, and the Looker Studio report are audit features the alternatives do not pretend to have. If you outgrow the desktop entirely, the cloud audit platforms (Sitebulb, Lumar) are the audit-shelf alternatives, not anything on this page. If your deliverable is an audit document, buying an extractor is a mistake with extra steps.

What each pick costs over a year

Concrete math for a two-person team crawling a 5,000-page site weekly:

• Screaming Frog: £398/yr in licences (2 users × £199), forever, plus the RAM to hold the site.
• Magpie: £0 on the CLI; the desktop app is $588/yr if both of you want the GUI.
• Scrapy or Crawl4AI: $0 in licences, plus the engineering hours you already budget for.
• Firecrawl: 260,000 pages a year. Above the 100,000-credit Standard plan, so you are negotiating with their sales team or crawling less.
• Octoparse: $828/yr at the entry paid tier for one seat.

Cheapest working answer wins, and for extraction jobs the free local tools now win more often than they did five years ago. That is the whole reason this page exists.

Screaming Frog alternative questions

Is there a free alternative to Screaming Frog? For crawling and extraction: Magpie’s CLI, Scrapy, Crawl4AI, and wget are all free with no page caps. For the SEO audit specifically, Screaming Frog’s own free tier (500 URLs) is still the best free auditor, which is the awkward truth for free-audit clones.

Can you use Screaming Frog for scraping? Yes. Custom extraction accepts XPath, CSS Path, and regex, and exports to Excel and CSV. It fits one-off pulls well. As a repeating pipeline, the spreadsheet hop and the missing API make it the clumsy choice.

What is the best open-source alternative? Scrapy if you write Python and want a standing pipeline. Crawl4AI if the output feeds a language model. Magpie’s core is source-available (AGPL-3.0-or-later or commercial) as a ready-made binary, which sits between the two.

Does Screaming Frog have an API? No REST API. A headless CLI mode exists and requires a licence; it exports tab data to files. Community projects that call themselves a Screaming Frog API are wrappers parsing those exports after the crawl.

Is Magpie a Screaming Frog replacement? No, and it does not claim to be. Magpie covers the crawl-and-extract half: site crawls to clean JSONL, typed vertical extractors, LLM schema extraction. It ships no audit reports. Teams that need both run both.

The move

Name the deliverable. An audit document: keep Screaming Frog, pay the £199, stop reading listicles. A dataset, feed, or corpus: run magpie crawl <url> --corpus --out out.jsonl on your site today and count how much of your old workflow just disappeared. A pipeline you will maintain for years: Scrapy, and commit the spiders on day one.