An API service that turns any web page into structured data that AI systems and applications can work with directly. The parts that are tedious to build yourself — rendering JavaScript-driven pages, getting past bot mitigation, routing through proxies — are handled by the service, so you receive Markdown or JSON without standing up scraping infrastructure. On top of that, structured extraction driven by a JSON Schema, brand information such as logos, color palettes, and typefaces retrieved from a company domain, and website change monitoring all run under the same API key. Released by a US-based team in early 2025, it has continued to add capabilities through 2026, including a monitoring API, batch processing, and file parsing.
Key Features
- Web pages as Markdown/HTML: Pass a URL and get back clean Markdown that drops straight into an LLM prompt or a RAG pipeline. JavaScript rendering and proxy handling are included at no extra cost, and a successful page scrape costs one credit regardless of how heavy the rendering was
- Structured extraction via JSON Schema: Define the fields you want as a schema and get typed JSON back from the page. Dedicated endpoints also cover product normalization and design token extraction (color palettes and fonts)
- Brand and company intelligence: Resolve a company from a domain, email address, or company name and receive its logo, brand colors, and industry classification (NAICS/SIC). A logo delivery CDN (Logo Link) is included
- Website change monitoring: Detect changes in page content, URL inventories, or structured data, and receive them via webhook or retrieve the diff through the API. Goal-based instructions such as “report pricing changes and ignore timestamps” are supported
- SDKs for major languages and an MCP server: Official SDKs for TypeScript, Python, Ruby, Go, and PHP (Apache-2.0). The hosted MCP server supports OAuth 2.0 authentication, so tools such as Claude, ChatGPT, and Cursor can call it directly
- Batch processing and file parsing: A batch API processes up to 25,000 URLs asynchronously, and a parse endpoint converts PDFs, Office documents, and images into Markdown
Pricing
| Plan | Monthly | Monthly credits | What’s included |
|---|---|---|---|
| Free | $0 | 250 (personal email) / 500 (work email), one-time allocation | 10–30 requests/min, 2 concurrent monitors, email support |
| Developer | $25 | 10,000 | 60 requests/min, 50 concurrent monitors, usage alerts |
| Pro | $149 | 200,000 | 300 requests/min, 500 concurrent monitors, Slack support, spend controls |
| Scale | $499 | 1,000,000 | 700 requests/min, 10,000 concurrent monitors, priority support |
| Enterprise | Contact sales | 2M+ | SSO/SAML, SCIM, 99.9% uptime SLA, annual invoicing, dedicated Slack channel |
Annual billing saves the equivalent of two months, and overage is charged in blocks of 10,000 credits at a rate that drops on higher plans. Failed requests are not billed. Discounts are available for startups and nonprofits.
Pricing is as of August 2026. Check the official site for current rates.
Pros & Cons
✅ Pros
- Scraping, search, structured extraction, brand intelligence, and change monitoring run under a single API key, cutting the effort of stitching several vendors together
- JavaScript rendering and bot mitigation are standard, and there are no credit multipliers per feature, so costs are easy to predict
- Failed requests are not billed, so cost variance from hard-to-scrape sites stays small
- SDKs for five major languages plus an MCP server mean the same capabilities are reachable from code and from AI agents
- A free plan lets you test the behavior without a credit card
⚠️ Cons
- Free-plan credits are a one-time allocation rather than a monthly refill, so sustained evaluation moves you onto a paid plan fairly quickly
- The Developer plan’s 10,000 monthly credits run out fast for crawl-scale workloads
- The breadth of the platform means a lot of endpoints, and it takes some time to work out which one fits your case
- As with any scraping tool, checking the target site’s terms of service and robots.txt remains the user’s responsibility
- Japanese-language documentation and case studies are currently sparse
Comparison with Similar Services
| Criteria | Context.dev | Firecrawl | Apify | Brandfetch |
|---|---|---|---|---|
| Main scope | Scraping + extraction + brand + monitoring | Scraping, crawling, extraction | Platform for running scrapers (Actors) | Brand and logo data |
| Markdown output | Yes | Yes | Depends on the Actor | Not applicable |
| Brand/logo retrieval | Yes | Not applicable | Depends on the Actor | Core capability |
| Change monitoring | Yes, including goal-based rules | Limited | Approximated with scheduled runs | Not applicable |
| Extensibility | Official SDKs + MCP server | Official SDKs + MCP server | Build and publish your own Actors | API-centric |
Who Is It For
- Developers who need a reliable way to turn web pages into Markdown for RAG pipelines and AI agents
- Teams collecting product or company data who want scraping and structured extraction on one platform
- Operations staff who would rather monitor a competitor’s pricing page or terms of service through an API than a homegrown cron job
- SaaS developers who want to pull a customer’s logo and brand colors automatically from a domain
- Anyone who wants web search and page retrieval directly inside an MCP-compatible AI tool
Summary
Context.dev bundles the capabilities usually bought separately around web data — scraping, structured extraction, brand intelligence, and change monitoring — into a single API. The pricing design, with no surcharge for rendering or proxies and no billing for failed requests, pays off most on projects where the target sites are unpredictable. Start on the free plan to confirm your target sites scrape cleanly, then pick a plan once you can see the real production volume.