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Context.dev

An API that provides AI agents and developers with real-time web context, including scraped data, brand intelligence, and structured extraction.

Introduction

Overview

Context.dev is a specialized web context API designed to bridge the gap between static Large Language Models (LLMs) and the dynamic live web. It empowers AI agents and software teams to access fresh, structured data from any website without building and maintaining complex scraping infrastructure. By consolidating web scraping, brand intelligence, and data extraction into a single platform, Context.dev enables developers to ground their AI applications in real-time information, automate onboarding flows, and enrich company profiles instantly.

Key Features
  • Web Scraping & Crawling: Extract clean, LLM-ready Markdown, HTML, and images from any URL or crawl entire websites via sitemaps. Supports JavaScript rendering and anti-bot evasion natively.
  • Structured Data Extraction: Use JSON schemas or Zod to define exactly what data you need (e.g., pricing tiers, product specs) and have the API return structured JSON directly from web pages.
  • Brand Intelligence API: Resolve domains, emails, or tickers to comprehensive brand profiles, including logos, colors, fonts, style guides, social links, and firmographic data (industry, revenue, location).
  • Logo & Asset CDN: A dedicated "Logo Link" service that provides high-quality logos and screenshots via simple image URLs without consuming API credits.
  • Transaction Identification: Parse messy merchant descriptors from bank transactions to identify the actual brand, category, and location.
  • Agent-First Design: Includes specialized endpoints and documentation for AI agents, allowing them to autonomously sign up, retrieve keys, and integrate web context into their reasoning loops.
Use Cases
  • Grounding RAG Systems: Feed AI chatbots and knowledge bases with up-to-date content from product docs, blogs, and websites to prevent hallucinations and outdated answers.
  • Automated Onboarding: Pre-fill company fields in SaaS sign-up forms using just a work email domain, reducing friction and improving activation rates.
  • Competitor Analysis & Market Research: Programmatically scrape competitor pricing pages, product listings, and style guides to track market changes in real-time.
  • AI Agent Development: Equip autonomous agents with the ability to "read" the web, check current stock levels, verify company details, or analyze news articles during task execution.

Decision Card

Quick Verdict

Consider Context.dev when your workflow matches b2b, Business, AI Agent Development, AI Data Mining, AI Developer Tools, AI Web Scraper and you want to validate the fit before committing to a paid stack.

Best For

  • b2b
  • Business
  • AI Agent Development
  • AI Data Mining

Not For

  • Highly regulated data without a privacy review
  • Workflows that require exact deterministic output

Best Uses

An API that provides AI agents and developers with real-time web context, including scraped data, brand intelligence, and structured extraction.
Comparing against similar tools
Building a first working workflow

Pricing Snapshot

Check the current pricing page before buying because AI tool limits and plans change often.

If a free tier exists, use it to test output quality, export limits, and workflow fit first.

Pros

  • Clear task fit
  • Can reduce manual work
  • Good candidate for side-by-side testing

Cons

  • Pricing and limits may change
  • Output quality depends on prompts and source material
  • Commercial and privacy terms need review

Quick Start Prompt

I want to evaluate Context.dev for this task: [describe your task]. Compare the free path, paid path, setup steps, expected output quality, privacy risks, and alternatives.

Information

Categories

  • b2b
  • Business
  • AI Agent Development
  • AI Data Mining
  • AI Developer Tools
  • AI Web Scraper