Context.dev
Web scraping API that turns any page into clean Markdown, structured JSON, screenshots, and brand data for AI agents
Context.dev earns a serious look if your roadmap includes agents that need live web context, RAG indexes that must stay fresh, or onboarding flows that autofill from a pasted domain — it folds scraping, crawling, search, answers, and brand/company enrichment into one credit balance instead of two vendors. The free tier now gives 1,000 credits per month with no card, and Developer starts at $19/mo for 7,500 credits, so a real pilot is cheap. Compare it against Firecrawl if you only need page-to-Markdown, and against a separate brand-data API if you need logos and styleguides. Model your actual page volume first: structured extraction costs 5 credits per page, not 1.
Verified 7d ago · liveness 82/100 · cite: rightaichoice.com/tools/context-dev
- Developers building AI agents or RAG pipelines that need live web context
- Product teams autofilling onboarding or generating branded material from a domain
- Teams migrating off Firecrawl or merging a scraper with a brand-data API
- Data engineers running scheduled monitors and structured extraction at moderate volume
- Non-developers who want a GUI point-and-click scraper with no API involved
- Features that need millisecond-streaming web data rather than request/response or batch jobs
- Organizations that require fully self-hosted or on-premises scraping infrastructure
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Skip Context.dev if you need millisecond-streaming web data or a fully self-hosted scraping stack, since it is a managed request/response and batch API with JavaScript rendering and proxies always on.
Structured extraction is not a 1-credit scrape: scrape with JSON extraction bills 5 credits per page, so a 10,000-page structured job consumes 50,000 credits, not 10,000.
Context.dev fits teams whose web-data spend is roughly $19–$499/mo: Developer ($19/mo, 7,500 credits) suits side projects and MVPs, Pro ($99/mo, 125,000 credits) is the production-agent tier, and Scale ($499/mo, 1M credits) covers bulk scraping. It undercuts wiring a scraper plus a separate brand-data vendor; Firecrawl-style page-to-Markdown-only services can be cheaper if you never touch enrichment, and dedicated high-volume scraping services beat it on raw cost per page past roughly 2M pages,
In short
Context.dev — Web scraping API that turns any page into clean Markdown, structured JSON, screenshots, and brand data for AI agents. Best for Developers building AI agents or RAG pipelines that need live web context, Product teams autofilling onboarding or generating branded material from a domain, Teams migrating off Firecrawl or merging a scraper with a brand-data API. Free to start; paid plans from $19/mo.
What's new in Context.dev
Checked 7 days agoAcross the latest 5 updates: 3 feature updates, 1 launch and 1 changelog entry.
Product image deduplication added to product extraction
Set productParams.dedupeImages: true to drop visually duplicate product images and keep the largest copy. Adds 1 credit per product.
Introducing Context Highlights
Highlights returns passages relevant to a query, with code and markdown output. Each format adds 1 credit per 10 results.
Search adds highlights; Search Markdown cache window narrowed
Search results can return highlights via highlightsOptions.enabled. Search Markdown defaults maxAgeMs to 15 days, and scrape highlights now cost 1 credit.
Scrape and batch default cache window extended to three days
Scrape and batch page options now default maxAgeMs to 3 days, accept up to 365 days, and set 0 for fresh content. Synchronous Crawl is unchanged.
New orgs limited by concurrency instead of requests per minute
Free 1, Developer 10, Pro 100, Growth 250, Scale 500 concurrent requests across the org and all API keys. Existing orgs keep per-minute limits.
What people actually say about Context.dev — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
35 mentions across 4 sources (Hacker News, YouTube, Product Hunt, Lemmy) · researched Aug 7, 2026.
Average across the 4 sources that answered — each source counts once, not each post.
- +One clean API replaces scraper, proxy, and retry stitching.
- +50+ pre-built extractors for LinkedIn, Maps, Zendesk and more.
- +Low-code visual builder for custom targets without heavy code.
- +Clean markdown output simplifies LLM ingestion and agent use.
- +Useful brand data: logos, colors, fonts, socials, NAICS codes.
- −Limited independent user reviews beyond launch window.
- −No public status page or incident history data.
- −Real-world reliability and anti-bot success unproven.
- −Data structuring and post-extraction use not fully addressed.
- −Name confusion and search ambiguity with other 'Context' products.
- • Overages on credits can add up quickly if you exceed monthly limits
- • The under-5-second SLA is only on higher-paid plans, not the free or basic tiers
- • No transparent overage pricing published in the data
Viability Score
How well maintained and how widely used is Context.dev? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Scrape any URL to Markdown, HTML, or structured fields in one request
- JavaScript rendering and managed proxy escalation always on, no opt-out
- Automatic retry with a different strategy before a failure is returned
- Map a domain to discover its URLs with available titles and descriptions
- Crawl entire sites and return linked pages as Markdown in one response
- Run background batches of thousands of URLs with progress tracking and downloadable results
- Web search endpoint returning ranked results, with page content and highlights on request
- Answers endpoint returning a research question's answer as JSON with source URLs
- Monitors watch pages on a schedule and send changes to a webhook
- Retrieve brand data: logos, colors, fonts, styleguide, socials, address
- Search Brands and transaction-string-to-brand matching with location and MCC hints
- People enrichment and company news endpoints
- Parse PDFs, Office documents, and images to Markdown, with PDF OCR
- Capture viewport or full-page screenshots and pull images from any page
- Highlights format returning passages relevant to a query, with code and markdown output
About Context.dev
Context.dev is a web data API for teams building AI agents, RAG pipelines, and enrichment features. You send a URL and get back Markdown, HTML, screenshots, images, or structured fields matching a schema you define — JavaScript rendering and managed proxy escalation are always on, so you don't tune browser settings yourself. Beyond scraping, the same API maps a domain's URLs, crawls whole sites, runs background batches of thousands of URLs, answers research questions with source URLs, monitors pages for changes via webhook, and parses PDFs and Office files. It also returns brand data (logos, colors, fonts, styleguide, socials) plus company profiles, people enrichment, and company news. Setup is agent-friendly: you can copy an API key yourself or paste one prompt into a coding agent that reads the agent quickstart and wires the API into your codebase. Named customers include Mintlify (GitHub repo to branded docs site in under 10 minutes of integration) and SiteGPT (migrated off Firecrawl in under a day). Pricing is credit-based: a standard scrape is 1 credit with proxies and rendering bundled in, and the free tier returns 1,000 credits per month with no card required.
Behind the Verdict
The pitch is consolidation, and the credit table backs it up. A standard scrape costs 1 credit with JS rendering, anti-bot escalation, and proxies included — you never pick a proxy tier. Everything else is à la carte but published: scrape with JSON extraction is 5 credits per page, Retrieve Brand is 10 credits per call, Enrich Person is 20 credits per match, Answers is 10 credits per call, and Search Brands is 1 credit but free on Pro, Growth, and Scale. That granularity is unusual and useful, because it lets you model a real workload before committing. The second differentiator is brand and company data. Most scraper-only vendors stop at Markdown; Context.dev returns logos, colors, fonts, a styleguide, socials, address, NAICS/SIC classification, and transaction-string-to-brand matching from the same API. SiteGPT's Firecrawl migration and Mintlify's repo-to-docs tool are the public proof points. The operational story is honest about tradeoffs. Batch jobs and monitors are asynchronous — this is request/response and background work, not millisecond streaming, so latency-sensitive features are the wrong fit. Concurrency is now the throttling lever for new orgs: Free gets 1 concurrent request, Developer 10, Pro 100, Growth 250, Scale 500, across the whole org and all keys. Existing orgs keep their per-minute limits. Failed requests are mostly unbilled, but 404s bill at the base price, and scrape can return 200 with partial failures while still charging if one output succeeded — check key_metadata.credits_consumed. Where it fits: developers who would otherwise stitch a scraper, a proxy bill, a brand-data API, and a research endpoint together. Where it doesn't: teams needing on-prem scraping, GUI-only point-and-click users, and anyone whose economics demand the absolute lowest cost per page at millions of requests. Startup and nonprofit discounts of 30% off an annual paid plan for 12 months lower the entry cost further.
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Real-world workflow fit
Concrete scenarios for the personas Context.dev actually fits — and what changes day-one when you adopt it.
Maps the docs domain for URLs, crawls the site to Markdown, then sets a monitor on the changelog page with a webhook into the retrieval index.
Outcome: A RAG index that refreshes only the pages that changed, without re-crawling the whole site or running the proxy and rendering stack themselves.
Calls Retrieve Brand on the domain a customer pastes, gets logos, colors, fonts, and the styleguide, then renders an onboarding or marketing preview.
Outcome: Brand-accurate output on first render instead of a generic template, using one 10-credit call rather than a separate design-data vendor.
Submits a batch of product URLs with JSON extraction and productParams.dedupeImages, then runs recurring monitors against the same list.
Outcome: A structured price and product dataset refreshed on schedule, at 5 credits per extracted page plus 1 credit per product for deduplication.
Use Cases
- Ground a RAG index in fresh site content and refresh changed pages with monitors
- Turn any GitHub repo URL into a branded documentation site from scraped content and brand data
- Autofill onboarding forms with a company's logo, colors, and fonts from a pasted domain
- Answer research questions with structured JSON and source URLs inside a product
- Scrape product listings and pricing across e-commerce sites on a schedule
- Enrich lead and person records with company profiles, socials, and classification codes
- Crawl academic journals and PDFs at scale into a searchable corpus
- Replace Firecrawl to power chatbot knowledge bases from whole-site crawls
Limitations
- Batch and monitor work is asynchronous — this is a request/response and background-job API, not a real-time stream, so millisecond-latency features are the wrong fit.
- Credits vary by endpoint: a plain scrape is 1 credit, but scrape with JSON extraction is 5 credits per page, Retrieve Brand is 10 credits per call, and Enrich Person is 20 credits per match, so a workflow that mixes endpoints costs more than the headline scrapes-per-month number suggests.
- New organizations are throttled by concurrent requests rather than requests per minute (Free 1, Developer 10, Pro 100), which caps how much parallel work a small plan can push.
- Not-found responses bill at the base price, and a scrape can return HTTP 200 while charging when at least one output succeeded even if others failed — check key_metadata.credits_consumed.
- Concurrency, SSO/SAML, and SCIM sit on higher tiers; the 99.9% uptime SLA appears on Enterprise in the published plan table.
as of 2026-10-01
Verification history
We have re-verified Context.dev 8 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 8 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Context.dev tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Developers testing a first scrape, crawl, or brand lookup before committing budget, with no credit card required.
What this tier adds
Starting tier: 1,000 credits per month, 1 concurrent request, 10 monitors, 1 concurrent batch, and a one-time 10K logo quota.
Developer
$19/mo
Ideal for
Solo developers and small teams shipping a side project, MVP, or lightweight app on web data.
What this tier adds
$19/mo for 7,500 credits, 10 concurrent requests, 750 Answers in Fast mode, 100 monitors, 2 concurrent batches, and usage alerts.
Pro
$99/mo
Ideal for
Production apps and AI agents that pull web data continuously and need Slack support and spend controls.
What this tier adds
$99/mo for 125,000 credits, 100 concurrent requests, 12,500 Answers, 1,000 monitors, and free Search Brands.
Growth
$299/mo
Ideal for
Growing products that need more data more often and want priority support as volume climbs.
What this tier adds
$299/mo for 500,000 credits, 250 concurrent requests, 50,000 Answers, 5,000 monitors, and priority support.
Scale
$499/mo
Ideal for
Teams running large datasets, bulk scraping, and continuous monitoring across many sites.
What this tier adds
$499/mo for 1,000,000 credits, 500 concurrent requests, 100,000 Answers, 10,000 monitors, and SSO/SAML.
Enterprise
Custom
Ideal for
Organizations with custom volume, security, and compliance requirements such as SSO provisioning and an SLA.
What this tier adds
Custom pricing at 2,000,000+ credits with volume discounts, SCIM provisioning, a 99.9% uptime SLA, annual invoicing with MSA/DPA, and a dedicated Slack channel.
Where the pricing makes sense
The company stage and team size where Context.dev's pricing actually pencils out — and where peers do it cheaper.
Context.dev fits teams whose web-data spend is roughly $19–$499/mo: Developer ($19/mo, 7,500 credits) suits side projects and MVPs, Pro ($99/mo, 125,000 credits) is the production-agent tier, and Scale ($499/mo, 1M credits) covers bulk scraping. It undercuts wiring a scraper plus a separate brand-data vendor; Firecrawl-style page-to-Markdown-only services can be cheaper if you never touch enrichment, and dedicated high-volume scraping services beat it on raw cost per page past roughly 2M pages,
Setup time & first value
How long it actually takes to get something useful out of Context.dev — broken out by persona, not the marketing-page minute.
Self-serve: sign up, verify email, copy the API key, install an SDK, and make a first scrape in well under an hour — the docs show a working TypeScript or cURL example in a few lines. Agent-assisted: paste one prompt telling your coding agent to read the agent quickstart, and it handles signup, the API key, and wiring the API into your codebase. Teams migrating from Firecrawl report whole-site
Switching to or from Context.dev
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Firecrawl: point your crawl at /web/crawl and swap the Markdown field name, then reuse monitors for scheduled refreshes.
- →From a hand-rolled Playwright or Puppeteer scraper: replace the browser launch and proxy config with a single /web/scrape call that renders and escalates proxies for you.
- →From a separate brand-data API: replace the logo, color, and font lookups with one Retrieve Brand call on the same credit balance.
- →From point scraping scripts plus a spreadsheet: move URL lists into a batch job and read paginated results when it completes.
- ↗To Firecrawl: keep the same crawl and scrape concepts if you only need page-to-Markdown and want a scraper-only vendor.
- ↗To a self-hosted stack: move to your own Playwright and proxy infrastructure if on-premises scraping is a hard requirement.
- ↗To a dedicated bulk scraping service: switch if your volume passes roughly 2M pages and the absolute lowest cost per page outweighs the brand and enrichment APIs.
Integrations
Resources & Guides
- Documentationcontext.dev
Docs · Context.dev
Full product docs from context.dev
- Resourcedocs.context.dev
Agent Quickstart · Context.dev
Helpful link from docs.context.dev
- Quickstartcontext.dev
Quickstart · Context.dev
Get up and running fast from context.dev
- Documentationcontext.dev
Api Reference · Context.dev
Full product docs from context.dev
- Documentationcontext.dev
Integrations · Context.dev
Full product docs from context.dev
- Documentationcontext.dev
Changelog · Context.dev
Full product docs from context.dev
- Documentationcontext.dev
Llms · Context.dev
Full product docs from context.dev
- Documentationcontext.dev
Sdks · Context.dev
Full product docs from context.dev
Tutorials & Learning
YouTube returned 6 videos for “Context.dev”, and we withheld 5: 5 did not mention Context.dev. Showing the 1 we can prove is about Context.dev.
Official links
Tools that pair well with Context.dev
Common stack mates teams adopt alongside Context.dev, with the specific reason each pairing earns its keep.
Maxun
Open-source no-code web scraping platform that turns any website into a structured API and LLM-ready data
Spider Cloud
Spider Cloud is a web scraping and crawling API that turns live pages into markdown or JSON for agents and RAG pipelines.
Thunderbit
AI web scraper Chrome and Edge extension that turns a page into a structured table from a plain-English description — no CSS selectors.
Featured Head-to-Head Comparisons
Context Dev vs Geologicai
GeologicAI and Context.dev serve entirely different domains. GeologicAI is purpose-built for critical minerals mining with multi-sensor core scanning and AI logging, now enhanced via the Lumo Analytics acquisition to detect rare-earth elements. Context.dev is a general-purpose web scraping API for developers. Choose GeologicAI for mining workflows; choose Context.dev for web data extraction. There is no direct competition.
Context Dev vs Versatile
These tools are incomparable as they serve entirely different domains. Versatile is a niche hardware+software solution for steel erection crane ops, while Context.dev is a general-purpose web scraping API. Choose based on whether your core need is construction site intelligence (Versatile) or automated data extraction from websites (Context.dev).
Context Dev vs Screenplayiq
These tools serve completely different needs. Choose ScreenplayIQ if you're a screenwriter or studio executive needing AI-driven script analysis with box office forecasts; its free tier offers a taste, while paid plans unlock detailed market comparisons. Choose Context.dev if you're a developer or data scientist needing a reliable API for web scraping and data enrichment from 50+ sites, with low-code options for automation. There is no overlap in use cases.
Alternatives to Context.dev
View allMaxun
Open-source no-code web scraping platform that turns any website into a structured API and LLM-ready data
Spider Cloud
Spider Cloud is a web scraping and crawling API that turns live pages into markdown or JSON for agents and RAG pipelines.
Thunderbit
AI web scraper Chrome and Edge extension that turns a page into a structured table from a plain-English description — no CSS selectors.
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