ClawEngine.ai

Compare · Updated August 2026

Exa alternatives: 11 web data APIs compared for crawling and typed extraction

The short answer

Exa is a neural search API: you describe what you want in plain language and it returns relevant URLs, with page contents bundled in. Teams look for an Exa alternative when the job stops being discovery and becomes coverage, crawling every page of a known site rather than the most relevant ten. ClawEngine crawls from a seed URL, renders each page and fills a schema you declare, from $39 a month. Firecrawl is the closest match if markdown is the finished output. If you genuinely need semantic search over the open web, stay with Exa, because none of the crawling APIs do that.

Exa is not really a scraping API, and treating it as one is how teams end up disappointed with it. It is a neural search engine with an API in front: you describe the kind of page you want and embeddings do the matching, which is genuinely useful for the problem where you cannot write down the URLs in advance. Nothing in the crawl-and-extract category does that, ClawEngine included, and if discovery is your bottleneck then Exa is the right purchase and this page is not trying to change your mind.

The overlap starts at the Contents endpoint, which returns text, highlights and model-written summaries for URLs you hand it, follows up to 100 subpages, and can shape a summary against a JSON schema. That covers a surprising amount of ground cheaply. Where it runs out is coverage and contract: a scoped crawl across every page under a path prefix, with a page budget in the thousands, deduplication across the run and typed fields pulled from the rendered DOM rather than written by a summarizer. ClawEngine does that half in one call, on public and permitted pages only, respecting robots.txt and crawl-delay. The sane pattern for a lot of teams is both, Exa to find the sites and ClawEngine to read them exhaustively, which is a cheaper answer than forcing either tool to do the other's job.

Crawl · render JS · extract typed fields · robots.txt respected

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robots.txt respected · public data only

Markdown · JSON · structured fields, from one API call. Crawling, rendering and extracting ...

Exa is the better choice when you need to discover pages semantically across the open web, while ClawEngine is the better fit when you already know the sites and need every page crawled and returned as typed, dependable fields.

All the options

11 Exa alternatives, compared

Published US list prices, checked in August 2026. We include ourselves, and we say where each tool beats us.

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Alternative Starts at Free tier Output Best for
ClawEngine $39/mo No free plan Clean markdown or typed JSON Teams that want one compliance-first pipeline returning LLM-ready data for RAG and agents
Firecrawl $16/mo Yes, 1,000 credits Clean markdown, plus structured extraction Fast site-to-markdown for LLM workflows, and teams that want the option to self-host
Bright Data Usage-based Trial credits JSON and datasets, not markdown-first Enterprise-scale proxy networks and prebuilt datasets for hard, heavily defended targets
Apify $29/mo Yes, $5 credits JSON, CSV and dataset exports Teams that want a prebuilt scraper for a specific site rather than building one
ScrapingBee $49/mo 1,000 free API calls Raw HTML, with some extraction rules Simple proxy plus JavaScript rendering behind a clean REST API
ScraperAPI $49/mo Trial credits Raw HTML, with structured endpoints for some sites High-volume proxy rotation at a low cost per request
ZenRows $16/mo Yes, 5,000 credits HTML, with markdown and parsing options Sites behind aggressive anti-bot systems
Oxylabs $49/mo Trial, up to 2,000 results HTML, JSON via parsers, and markdown Enterprises pulling high volumes from hard, well-known targets like major marketplaces
Crawl4AI Free, open source Yes, fully open source Markdown, Fit Markdown, or JSON for embedding Engineering teams happy to run and maintain the infrastructure themselves
Diffbot $299/mo Yes, 10,000 credits a month Structured JSON entities, plus a Knowledge Graph Enterprises that need web-wide entity intelligence and rule-less extraction across many different site layouts
ScrapeGraphAI $20/mo Yes, 500 credits Structured JSON from a natural-language prompt or schema, plus markdown Teams that want LLM-driven extraction from a plain-English prompt, or an MIT-licensed Python library they can run themselves

ClawEngine

Hobby $39, Startup $99, Scale $399, Enterprise custom

Where it wins. Crawl, JavaScript rendering and typed schema extraction happen in a single API call, and robots.txt plus site Terms of Service are respected by default.

What to watch. There is no free plan, so it is priced for teams running real pipelines rather than one-off experiments.

Firecrawl

Free 1,000 credits, Hobby $16 (5k credits), Standard $83 (100k), Growth $333 (500k), Scale $599 (1M), Enterprise by quote. Prices shown are the annual-billing rate

Where it wins. Excellent developer experience, a well-loved open-source project, and markdown output tuned for token efficiency.

What to watch. The proxy mode decides the price: basic is 1 credit a page, enhanced is 5, and the default is auto, which retries a blocked page on enhanced and bills 5. Credits expire monthly on the self-serve plans and only roll over on Scale and Enterprise.

Bright Data

Web Scraper API billed per record: free tier 5,000 records a month, pay-as-you-go $1.50 per 1,000, Scale $499 a month for 384,000 records then $1.30 per 1,000, Enterprise by quote. You pay only for successful deliveries

Where it wins. The largest proxy network in the category (150M+ residential IPs across 195 countries) and hundreds of prebuilt domain scrapers and ready-made datasets.

What to watch. It is a broad platform rather than a single LLM-ready endpoint, so output usually needs cleaning before you can embed it, and the pricing surface is complex.

Apify

Free ($5 usage), Starter $29, Scale $199, Business $999, each including that dollar value of usage. Actor compute is billed per compute unit at $0.20 (Free and Starter), $0.16 (Scale) or $0.13 (Business), with proxies charged on top

Where it wins. A marketplace of thousands of prebuilt Actors, so common targets are already solved, plus a full automation and scheduling platform.

What to watch. Costs stack in layers: the plan buys a dollar allowance, Actor compute burns it at $0.13 to $0.20 per compute unit, and residential proxies add $7 to $8 per GB on top. Unused allowance expires monthly, and output is generic JSON rather than LLM-ready markdown.

ScrapingBee

Freelance $49 (250k credits), Startup $99 (1M), Business $249 (3M), Business+ $599 (8M), Custom by quote

Where it wins. Very easy to adopt, dependable rendering, and a Google Search API bundled into every tier.

What to watch. You mostly get HTML back, so the cleaning, chunking and structuring work for an LLM is still yours to do.

ScraperAPI

Free 1,000 credits a month, Hobby $49 (100k credits), Business $299 (3M credits), Scaling $475 (14M credits), plus Student, Startup, Professional, Advanced and Enterprise tiers

Where it wins. Strong price per request at volume and a very simple drop-in proxy API.

What to watch. It is proxy infrastructure first, so an LLM pipeline still needs its own parsing, boilerplate stripping and schema layer.

ZenRows

Free tier (5,000 credits), Build $16, Launch $57, Growth $165, Scale $456 (5M credits), Enterprise custom

Where it wins. Focused on getting through Cloudflare, DataDome and PerimeterX where simpler fetchers fail.

What to watch. Protected requests consume far more credits than plain ones, so the effective price depends heavily on your targets.

Oxylabs

Web Scraper API: Micro $49, Starter $99, Business $999, Custom+ by quote. Proxies are priced separately, residential from $6/GB

Where it wins. Enterprise-grade unblocking, a large global proxy network, and dedicated parsers for major targets, plus a free Custom Parser for your own CSS or XPath rules.

What to watch. The headline result counts are best-case for a single cheap target: Oxylabs own FAQ notes the Micro plan's 98,000 results apply to Amazon, and spreading the same plan across mixed targets works out closer to 16,000 per target. Whole-site crawling means buying a second product.

Crawl4AI

Apache-2.0, no license cost. You pay for your own servers, proxies and engineering time

Where it wins. No vendor bill at all, full control, deep crawling with BFS, DFS and best-first strategies, and output already shaped for RAG ingestion. It is the most popular open-source crawler in the category, with roughly 72,000 GitHub stars.

What to watch. You own the ops: proxy rotation, browser fleet, retries, blocks and upgrades. Free software is not free infrastructure.

Diffbot

Free 10,000 credits a month, Startup $299 (250k credits), Plus $899 (1M credits), Enterprise custom

Where it wins. A pre-built Knowledge Graph of more than 10 billion entities you can query instead of crawling, and computer-vision extraction that classifies and structures pages with no per-site rules to write.

What to watch. The first paid tier is $299 a month and credits are consumed fast (a Knowledge Graph record costs 25 credits, a data-center proxy request doubles the cost), so for plain RAG ingestion it is expensive and heavier than you need.

ScrapeGraphAI

Free 500 credits one-time, Starter $20 (10k credits), Growth $100 (100k), Pro $500 (750k), Enterprise custom. The Python library is MIT licensed and free to self-host.

Where it wins. The open-source library (MIT, 28.4k GitHub stars) is a genuine option rather than a demo, it plugs into OpenAI, Groq, Azure, Gemini or a local Ollama model, and the managed API starts at $20 a month, below our own floor.

What to watch. The managed API bills per credit and the rate depends on the endpoint (extract costs 5 credits, stealth adds 5, a crawl adds 2 on top of per-page scrape cost), so cost per page is harder to predict. Self-hosting means you supply the LLM key and pay model tokens on every page.

Want the full field, including Exa? Read the best web scraping API buyer's guide.

Side by side

Exa vs ClawEngine, honestly

A fair look at what each does well. Both are capable tools. Here is where they differ.

What matters ClawEngine Exa
Semantic web search None; you supply the URLs or a seed to crawl from Core product, embeddings-based neural search
Whole-site crawling Scoped crawl from a seed URL, path rules and page budget Up to 100 subpages per call, steered by a target term
Structured extraction Typed schema extracted from the rendered page JSON schema applied to a model-written summary
JavaScript rendering Rendered server side in the same call Fresh fetches available; rendering behavior not documented
Free tier None; plans start at $39 a month $20 on signup plus $10 in credits every month
Cost model Flat monthly plans sized by page volume Pay-as-you-go: $7 per 1k searches, $1 per 1k pages per content type
Research and datasets None; extraction only Research agents and Websets for building datasets
Best suited for Exhaustive coverage of sites you already know Finding pages you could not have listed in advance

Comparison reflects general, publicly understood positioning. Capabilities change, so check each product for the latest.

Why teams pick ClawEngine

One API that turns any website into clean, LLM-ready data

Discovery and coverage are different jobs

Search answers "which pages are relevant", crawling answers "give me all of them". A retrieval index built from the top ten semantic matches has holes you will not notice until a user asks about the page that did not make the cut. Pick by which failure you can live with.

A summarized schema is not an extracted one

Exa can shape output to a JSON schema, and that is real. The value is written by a model reading the page rather than pulled from the DOM, which is a different reliability profile. For prices, SKUs and dates, extract against the rendered markup and keep the summarizer for the soft fields.

Metered beats flat until it does not

Pay-as-you-go with free monthly credits is the better deal for irregular volume, and we will not pretend a $39 floor competes with that for a prototype. Flat plans win once usage is steady and per-content-type metering starts multiplying, since you are billed once per page rather than once per output format.

People also ask

Exa alternatives: the questions buyers ask

What is the best Exa alternative?

It depends which half of Exa you use. For the search half, finding pages you could not have listed in advance, there is no close substitute among scraping APIs. For the contents half, reading pages you already know about, ClawEngine and Firecrawl both crawl a whole site from one seed URL, and ClawEngine returns typed fields against a schema you define. Match the tool to the half you actually need.

What is Exa used for?

Exa is a web search API built on embeddings rather than keyword matching, so you can ask for something like "companies building developer tools for RAG" and get relevant pages back. It also has a Contents endpoint that returns page text, highlights and model-written summaries, plus research agents and Websets for building datasets. It is most often used as the retrieval layer in an AI app.

Is Exa free?

Exa gives new accounts $20 in credits and adds $10 in free credits every month, and it is pay-as-you-go with no subscription and no minimum spend. Search runs $7 per 1,000 requests with contents for the first ten results included, and the Contents endpoint is $1 per 1,000 pages per content type. That free-to-start posture is a real advantage over our $39 floor.

Does Exa crawl a whole website?

Partly. The Contents endpoint takes a subpages count of up to 100 and a subpageTarget term to steer which subpages it follows, which covers a docs section or a handful of related pages. It is not a scoped site crawl with a path prefix, a page budget in the thousands and deduplication across the run, so whole-site coverage is where teams tend to hit the wall.

Does Exa extract structured data?

Yes, through the summary parameter, which accepts a JSON schema and returns structured output. The distinction worth understanding is that the schema is filled by a model summarizing the page, not by extraction run against the rendered DOM. That is fine for soft fields and less predictable for values like price or SKU where you need the number that is literally on the page.

Good questions

Exa vs ClawEngine, answered

Run both, in most cases. Exa is the only one of the two that can find pages you have not listed, so removing it removes a capability rather than swapping a vendor. The split that works is Exa for discovery and for one-off reads, ClawEngine for the recurring crawls where you need every page under a section and fields your code can depend on.
For low or irregular volume, clearly yes. Free monthly credits, no minimum and $1 per 1,000 pages for one content type is hard to beat when you read a few thousand pages a month. It shifts once volume is steady and you need more than one output format, because contents bills per content type while a flat plan bills the page once regardless of whether you take markdown, JSON or both.
On discovery, on getting started and on breadth of product. Semantic search over the open web is something we simply do not offer, and their research agents and Websets go further into dataset building than we do. They also let you try the whole thing on free credits with no card, while we start at $39 a month with no free plan.
It can for a corpus assembled by relevance, and it cannot for a corpus defined by coverage. If your index should contain every page of three documentation sites, you want a scoped crawl with a page budget and deduplication, not the best matches for a query. If your index is meant to track a topic across the open web, search is the better shape and Exa is well suited to it.

More comparisons

See how ClawEngine compares

vs Firecrawl

Firecrawl alternative

Crawl, render JS and extract typed fields in one call, with compliance-first defaults.

vs Apify

Apify alternative

Skip the actor marketplace: one API returns LLM-ready markdown and typed JSON.

vs Bright Data

Bright Data alternative

LLM-ready output and one simple API, instead of running your own proxy stack.

vs ScrapingBee

ScrapingBee alternative

More than raw HTML: crawl plus typed extraction and LLM-ready markdown in one call.

vs ScraperAPI

ScraperAPI alternative

Past the proxy layer: crawl, render and typed extraction that returns LLM-ready data.

vs ZenRows

ZenRows alternative

Beyond unblocking: crawl, render and typed extraction that returns LLM-ready data.

vs Oxylabs

Oxylabs alternative

Enterprise unblocking is not the same as LLM-ready data. Crawl, render and extract in one call.

vs Crawl4AI

Crawl4AI alternative

Free to license, not free to run. The managed alternative when ops time costs more than the bill.

vs Diffbot

Diffbot alternative

A lighter, lower-cost managed API when you need clean page data for RAG, not a 10-billion-entity Knowledge Graph.

vs ScrapeGraphAI

ScrapeGraphAI alternative

Predictable per-page cost and typed schema extraction, with no LLM key to supply and no token bill per page.

vs Scrapy

Scrapy alternative

Rendering, retries and typed extraction as a managed call, with no spiders or browser fleet to operate.

vs Browserbase

Browserbase alternative

When you need pages read at volume rather than a browser session driven step by step.

vs Tavily

Tavily alternative

For teams past the prototype: scoped crawls, page budgets and typed fields pulled from the rendered page.

vs Jina Reader

Jina Reader alternative

Whole-site crawling and typed schema extraction, for teams who have outgrown reading one URL at a time.

vs Zyte

Zyte alternative

Flat monthly plans and typed schema extraction, without per-tier request pricing you cannot forecast.

Turn any website into clean, LLM-ready data

One API: a URL in, clean markdown or typed JSON out. ClawEngine crawls, renders JavaScript and extracts typed structured fields in a single call, ready to embed for your RAG pipelines and AI agents.

See pricing

LLM-ready output · one API call · public, permitted data only · robots.txt respected