Diffbot Alternatives: AI Extraction Without the Credits

Diffbot’s first paid plan is $299 a month, its Crawl API starts at $899, and exporting a single Knowledge Graph entity bills 25 credits. The extraction underneath is genuinely good, so the hunt for a Diffbot alternative is rarely about quality and usually about the meter. I ran Magpie’s two extraction routes end to end this morning (October 16, 2026, home connection), pulled every credit number from Diffbot’s own price table, and sorted six alternatives by which of Diffbot’s three jobs you actually have.

The verdict first

If your job is entity intelligence, companies, people, and products resolved across the whole web, keep Diffbot. Nothing on this page replaces the Knowledge Graph. If your job is URL in, structured JSON out (the Extract API’s job), that work got cheap: two local tools do it free or for LLM pennies. If your job is plain crawling or unblocking, scraping APIs exist for that and they are not really Diffbot substitutes. And if you want clicks instead of code, the no-code builders sit further down. The only thing you cannot buy elsewhere is the graph.

Route	Runs where	Price	How it extracts	Builder or templates	Best for
Diffbot (baseline)	Hosted API	Free 10,000 credits/mo; Startup $299/mo; Plus $899/mo	Vision-based, rule-free; Knowledge Graph of billions of entities	No	Entity intelligence plus rule-free extraction at scale
Magpie	Local binary (CLI + desktop app)	CLI free (AGPL-3.0 or commercial); Desktop 5 free runs, then $49/mo	JSON Schema through any LLM (BYOK, incl. local Ollama) or 27 zero-LLM verticals	No builder, no site templates	Structured extraction at a flat price, on your machine
Crawl4AI	Your Python process	Free (Apache-2.0)	CSS/XPath or an LLM strategy on your own provider	No	Free local extraction inside Python code
Apify	Cloud platform	Free $5 credits/mo; Starter $19/mo prepaid	Actor code, or ready-made actors per site	Yes: thousands of ready-made actors	Specific sites that already have a maintained scraper
Octoparse	Desktop app + cloud, no code	Free 10 tasks; Standard $83/mo ($69 billed annually)	Point-and-click rules, AI auto-detect	Yes: the builder, plus 500+ preset templates on paid tiers	No-code teams without developers
Firecrawl	Hosted API	500 free credits; Hobby $16/mo; Standard $83/mo	Markdown plus LLM formats at +4 credits/page	No	Managed LLM-ready pipelines
Kadoa	Hosted, no code	Free evaluation; consumption-based, quotes at scale	AI, no rules, adapts to layout changes	Partial: the AI adjusts, no template gallery	Rule-free extraction without a $299 minimum

Ranking logic: local and flat-price routes first, because the meter is the reason people search. Every Diffbot number below comes from diffbot.com/pricing, checked October 16, 2026. (This page is part of the web scraping tool alternatives series; every page there follows the same tested-here rule.)

What Diffbot gets right

The rule-free extraction is real. Diffbot classifies a page by looking at it (article, product, job posting) and returns typed structured fields without you writing a single selector, and its NLP works across languages. That is a different architecture from CSS rules and LLM prompts, and it is why G2 reviewers rate it 4.9/5 (as of October 2026). Pages that would take an hour of selector work come back as one clean JSON object.

The Knowledge Graph is the moat. Billions of entities, disambiguated and cross-linked, queryable in DQL, their own graph query language, and refreshable on demand. Reviews commonly praise crawl stability at volume. If your product needs “facts about companies” rather than “fields from this URL”, none of the tools below sell that, and pretending otherwise would waste your week.

Where the meter and the black box bite

The price floor is high, and the credit table has teeth:

• Entry is $299 a month. Startup buys 250,000 credits at 5 requests per second. The free tier (10,000 credits per month, 5 requests per minute, no card) is a real evaluation tier, but the API answers 429 Quota Exceeded the moment you run out.
• Crawling is Plus-only. The Crawl API starts on the $899/mo plan: 25 active crawls, 1,000,000 credits, 3 seats.
• Graph data is the expensive kind. Extracting a page bills 1 credit (2 through their datacenter proxy). Exporting one Knowledge Graph entity bills 25; a facet query record bills 100. Refresh 2,000 company records a month and that is 50,000 credits, a fifth of Startup, before you extract a single page.
• It is a black box. When a field comes back wrong, there is no rule to fix. Rule-free cuts both ways: no selectors to maintain, and no knobs when the model misreads a page.
• Everything transits their cloud. Your URLs and page contents route through Diffbot’s servers. Fine for public data; a compliance conversation for anything behind a login.

None of that makes Diffbot a bad product. It makes it an enterprise-shaped one, and the alternatives below are cheaper shapes.

The six Diffbot alternatives

1. Magpie: the extraction job, locally, no credit meter

Magpie covers the extraction job: URL in, structured JSON out, no hand-written selectors. It runs as a single Go binary on your machine, and the core CLI is a free download (AGPL-3.0-or-later or a paid commercial licence). The limit needs saying before the demo, plainly: there is no point-and-click builder and there are no ready-made site templates. You work in a terminal, and the shape of the output comes from a JSON Schema you write or from one of 27 typed zero-LLM extractors.

If clicks or templates are the requirement, Magpie is the wrong pick, and Apify and Octoparse below are the right ones.

Both extraction routes skip Diffbot’s meter. The zero-LLM route reads the structured data sites already publish (JSON-LD). The AI route sends the cleaned page and your schema to any provider you configure, one of seven, including a local Ollama model that keeps everything offline. That second route rhymes with Diffbot’s pitch: the tool adapts to the page. The difference is that the adapter is an LLM you chose and can cap.

The zero-LLM route, run this morning:

# typed record from a paper page: 1.6 seconds, zero API calls
magpie vertical https://arxiv.org/abs/1706.03762 --name arxiv

{
  "url": "https://arxiv.org/abs/1706.03762",
  "title": "[1706.03762] Attention Is All You Need",
  "vertical": "arxiv",
  "record": {
    "authors": [
      "Ashish Vaswani", "Noam Shazeer", "Niki Parmar",
      "Jakob Uszkoreit", "Llion Jones", "Aidan N. Gomez",
      "Lukasz Kaiser", "Illia Polosukhin"
    ],
    "published": "2017-06-12T17:57:34Z",
    "summary": "The dominant sequence transduction models are based on..."
  }
}

(abridged)

The AI route, same morning:

# schema through a cheap hosted model: 13.9 seconds for the page
magpie scrape https://quotes.toscrape.com/ \
  --schema quotes.schema.json \
  --provider openrouter --model openai/gpt-4o-mini --format json

That run returned all ten quotes on the page. The usage block from the output (rounded):

"usage": {
  "provider": "openrouter",
  "model": "openai/gpt-4o-mini",
  "prompt_tokens": 2356,
  "completion_tokens": 947,
  "usd_estimate": 0.00092
}

Diffbot would bill the same ten pages ten credits. On its free tier they are free, and at small scale that is the fair comparison. The meter starts mattering when the month looks like Startup’s allocation: 250,000 pages for $299. At Diffbot’s Startup overage rate, $0.001 per credit, ten pages cost a cent. My run cost about a tenth of that, and the page bytes never left the machine.

One honest wrinkle: gpt-4o-mini returned an empty array for every tags field. The tags sit outside the quote blocks and the cheapest model skipped them. A stronger model or a retry with the field marked required fixes it. The run cost less than a tenth of a cent, so learning that was free.

Cons: no hosted API, so nothing runs when your machine is off; no Knowledge Graph and no template gallery; the desktop app costs $49/month after 5 free runs, though the CLI stays free. The JSON-LD route has its own page if that is your way in.

2. Crawl4AI: free, local, and you own the structure

Crawl4AI (v0.9.5, October 14, 2026, Apache-2.0) is the free floor under this whole market. It fetches with a real browser, returns LLM-ready markdown, crawls with depth and filter controls, and extracts with anything from CSS selectors to an LLM strategy on the provider you point it at. It is a Python library, not a product, which is the feature and the catch.

Cons: you are the operations team. Browser memory, politeness pacing, retries, and storage are your code. No GUI, no watch mode, no templates. For a Python team doing structured extraction at zero licence cost, nothing on this page is cheaper. The Crawl4AI alternatives page covers the setup and the limits.

3. Apify: the template shelf

Diffbot’s pitch is that sites need no templates. Apify is the opposite bet: thousands of ready-made actors, maintained scrapers for specific sites, running on Apify’s cloud with proxies attached. If your target already has a healthy actor, this is the shortest path from URL to data, and it is the closest thing on this page to the ready-made templates Magpie lacks.

The meter needs reading: the free plan includes $5 of credits a month, Starter is $19/mo as a prepayment (unused credits expire), and per-result actors bill on top of platform usage, roughly $4 per thousand Google Maps places by third-party trackers, plus $8/GB residential proxies on the low tiers. Cons: the bill wobbles with volume, and a store actor is rented maintenance; when its author loses interest, your job breaks. The full arithmetic is in the Apify alternatives page.

4. Octoparse: the point-and-click builder

For people who want Diffbot’s “no code” without Diffbot’s black box. Octoparse’s auto-detect builds a workflow after you paste a URL, you adjust it by clicking elements, and the rules stay visible and editable. That visibility is the whole difference: when a field breaks, you can see what to fix.

The free plan allows 10 tasks; Standard at $83/mo monthly ($69 billed annually) adds cloud runs, scheduling, IP rotation, and 500+ preset site templates. Cons: no Linux build at any price, and free-tier exports cap at 10,000 rows per export, 50,000 a month. The Octoparse alternatives page covers the builder options in detail.

5. Firecrawl: managed, LLM-first, cheapest hosted

The closest managed analog to Diffbot Extract for LLM pipelines. One POST returns cleaned markdown; structured extraction rides on LLM formats that add 4 credits per page. The free tier is 500 one-time credits, Hobby is $16/mo (3,000 credits, billed yearly), Standard $83/mo (100,000 credits), and the code self-hosts with the anti-bot layer missing.

Against Diffbot: no entity graph, and the credit meter returns at smaller numbers. Against Magpie and Crawl4AI: you pay per page for someone else to run the browsers. The Firecrawl alternatives page does the credit math in full.

6. Kadoa: Diffbot’s philosophy, self-serve size

Kadoa is the only tool here betting on the same idea as Diffbot: the AI reads the page, no rules, and adapts when layouts change. Its pricing page (checked October 16, 2026) lists Starter and Enterprise tiers, consumption-based, with a free evaluation and custom quotes at scale; there is no public dollar figure to cite anymore, so size it against your real volume before comparing. The ecosystem is younger and the scale story is smaller than Diffbot’s. The Kadoa alternatives page tracks it as the market moves.

What about the plain scraping APIs?

ScrapingBee, Zyte, and Bright Data appear in every Diffbot alternatives list, and they answer a different question. They fetch and unblock pages; the extraction structure is still your job. If your Diffbot bill is really a proxy bill, they belong on your shortlist. And if your Knowledge Graph use is mostly contact enrichment, that is a data-vendor purchase, not a scraper swap; the enrichment category has specialists who charge per verified record instead of $899 a month.

Who should stay on Diffbot

Stay if you query entities, not pages: company intelligence, product graphs, article feeds resolved across languages at web scale. Stay if your team writes DQL weekly; those saved queries and that skill are switching costs no alternative refunds. And use the free tier first: 10,000 credits a month with no card is enough to test your actual queries before paying anyone on this page.

FAQ

Is Diffbot worth $299 a month?

For rule-free extraction plus the Knowledge Graph, yes, for some buyers; G2 sits at 4.9/5. If you only call the Extract API on a few hundred pages a day, the local tools on this page do the same job free or for LLM pennies, and the graph you are not using is what you would be paying for.

Is there a free alternative to Diffbot?

Two kinds of free. Diffbot itself has a free tier (details two questions down). Fully free alternatives run locally: Crawl4AI (Apache-2.0 Python library) and Magpie’s CLI (AGPL-3.0 or commercial licence), neither with a page meter.

What replaces Diffbot’s Knowledge Graph?

Nothing fully; entity resolution across billions of pages is Diffbot’s moat. B2B contact enrichment, the most common KG use, is cheaper at dedicated data vendors. For entity facts you must gather yourself, a local crawl pipeline plus your own LLM is the DIY substitute, with all the maintenance that implies.

Does Diffbot have a free plan?

Yes. 10,000 credits per month, all APIs included, 5 requests per minute, no credit card required, verified against Diffbot’s pricing page in October 2026. Past the quota the API returns 429 until the month resets, and students get Startup-tier access free.

What is the cheapest way to get Diffbot-style extraction?

A local tool plus a cheap model. A schema-driven run through gpt-4o-mini cost me $0.00092 for ten pages, and zero-LLM JSON-LD extraction is free. Diffbot’s own free tier is also generous for evaluation at 10,000 credits a month.

Run your actual job on Diffbot’s free tier before anything else; 10,000 credits answers a lot of questions. If the job is plain page extraction, the zero-LLM route in Magpie or Crawl4AI does it at zero marginal cost on your own machine. If you need the graph, budget for Plus and stop reading comparison pages, including this one.