Browse.ai is one of the more popular no-code scraping tools out there. For simple point-and-click jobs, it works. But once you need to feed data into an LLM, build a pipeline that doesn't break every time a site updates its CSS, or programmatically extract brand data, the cracks show fast.
We built Context.dev to solve a different problem. It's an API. You send a URL, you get structured data back. No browser extension, no "robot training," no praying that your selectors survive a site redesign. You get Markdown, HTML, brand intelligence, and AI-powered extraction through endpoints that behave predictably.
This post compares both tools on pricing, features, developer experience, and use cases.
Quick comparison
| Feature | Context.dev | Browse.ai |
|---|---|---|
| Approach | API-first, developer-focused | No-code, point-and-click |
| Setup time | Minutes (API key + SDK) | Minutes (browser extension) |
| Web scraping | HTML, Markdown, Images, Sitemap, Crawl | Visual robot training |
| Structured extraction | Extract, Product, Products | None (rule-based selectors) |
| Brand data | Logos, colors, fonts, descriptions, socials | Not available |
| Anti-bot handling | Built in | Basic CAPTCHA solving |
| Output formats | JSON via API | CSV, JSON, Google Sheets |
| SDKs | TypeScript, Python, Ruby, Go, PHP | None (REST only) |
| MCP server | Yes | No |
| Monitoring | API monitors, runs, changes, and webhooks | Built-in change detection |
| Integrations | Zapier, Make, SDKs, MCP | Zapier, Make, Airtable, 7K+ |
| Free tier | 500 credits on signup with work email (250 with free email) | 50 credits/month |
| Starting price | $25/month | $48/month |
| Rate limits | Up to 800 req/min | Not published |
What is Browse.ai?
Browse.ai is a no-code web scraping platform. You install a Chrome extension, navigate to a page, click on the data points you want, and Browse.ai creates a "robot" that repeats that extraction on a schedule.
The target user is someone non-technical. A marketing manager tracking competitor prices once a week. A real estate analyst pulling listings from a portal. People who need data from websites but don't want to (or can't) write code to get it.
Browse.ai supports pagination handling, scheduled monitoring, login-protected pages, and ships with 250+ prebuilt robots for sites like Amazon, LinkedIn, and Airbnb.
Where it works well
- Simple, repeatable scraping: price monitoring, job listing extraction, product catalog tracking
- Non-technical teams that need data without involving engineering
- Scheduled monitoring with email alerts when a page changes
- Quick prototyping before committing to a code-based solution
Where it falls short
- Everything runs through the browser extension and visual robot builder. There's no way to programmatically define extraction logic
- Robots break when websites update their HTML. Browse.ai's AI adaptation helps, but users frequently report failures after site redesigns
- No AI-powered extraction. You can't describe what you want in plain English. You click on every element manually, and the platform generates CSS selectors
- No brand data at all. No logos, colors, fonts, or company metadata
- Credits get expensive quickly, and the platform wasn't designed for high-volume pipelines
- User reviews on G2 and Trustpilot consistently mention slow support response times and billing issues
What is Context.dev?
Context.dev is a web scraping and brand intelligence API. You call endpoints, you get JSON back. No visual robot builder, no browser extension.
There are three categories of endpoints:
Web scraping
- Markdown API converts a URL to Markdown;
useMainContentOnly=trueremoves surrounding page chrome for LLM workflows - HTML API renders JavaScript-heavy pages in a headless browser and returns the full DOM
- Images API extracts all images from a page with source URLs, alt text, and dimensions
- Sitemap API discovers and parses XML sitemaps to get every URL on a domain
- Crawl API crawls an entire site and returns Markdown for every page
- Screenshot API takes full-page or viewport screenshots, served from a CDN
Structured extraction
- Extract crawls from a URL and returns data matching a caller-supplied JSON Schema
- Product pulls structured product data (name, price, images, features, tags) from an e-commerce URL
- Products discovers and extracts products across a domain in one call
Brand intelligence
- Brand Retrieve returns a full brand profile from any domain: logos, colors, description, address, industries, social links. Also works with email addresses, stock tickers, or company names
- Logo Link lets you embed any company logo with a single
<img>tag pointing to a CDN. No API calls, no storage - Fonts API detects fonts used on any website
- Colors API extracts brand color palettes
No other scraping tool has brand data built in. If your product displays company logos, applies brand theming, or enriches CRM records, you don't need a second vendor.
Pricing comparison
Both tools use credit-based pricing. The economics are very different.
Browse.ai pricing
| Plan | Monthly price | Annual price | Credits/month | Websites | Users |
|---|---|---|---|---|---|
| Free | $0 | $0 | 50 | 2 | 3 |
| Personal | $48 | $19/mo | 2,000 | 5 | 3 |
| Professional | $87 | $69/mo | 5,000-30,000 | 10 | 10 |
| Premium | $500+ | Custom | 600,000+ | Custom | Custom |
One Browse.ai credit gets you 10 rows of extracted data or 1 screenshot. Premium websites cost 2-10 credits per run. Unused credits don't roll over.
Context.dev pricing
| Plan | Monthly price | Annual price | API credits | Brand retrievals | Logo Link | Rate limit |
|---|---|---|---|---|---|---|
| Free, personal email | $0 | $0 | 250 one-time | 25 | 10K one-time | 10 req/min |
| Free, work email | $0 | $0 | 500 one-time | 50 | 10K one-time | 30 req/min |
| Developer | $25 | $250/yr | 10,000/month | 1,000/month | 100K/month | 60 req/min |
| Pro | $149 | $1,490/yr | 200,000/month | 20,000/month | 2.5M/month | 300 req/min |
| Scale | $499 | $4,990/yr | 1,000,000/month | 100,000/month | 10M/month | 700 req/min |
One Context.dev credit is one scrape call. Ten credits is one brand retrieve call. Logo Link has its own quota. Free allocations are one-time; paid credits refresh monthly. Overage is $15, $9, and $7 per 10K credits on Developer, Pro, and Scale respectively.
What you actually get per dollar
Here's where it gets interesting.
Browse.ai's Personal plan costs $48/month and gives you 2,000 credits. At 1 credit per 10 rows, that's roughly 200 basic scraping tasks. Complex sites eat more credits.
Context.dev's Developer plan costs $25/month and gives you 10,000 credits. That's 10,000 page scrapes or 1,000 full brand profiles.
About half the price, 5x the credits. That's not a rounding error.
Even if you compare Browse.ai's Professional plan at $87/month (5,000 credits) against Context.dev's Developer plan at $25/month (10,000 credits), you're getting 2x the nominal credits at less than a third of the price; each provider defines a credit differently.
At higher tiers, Context.dev Pro includes 200,000 credits at $149/month and Scale includes 1,000,000 at $499/month. Browse.ai's Premium tier starts around $500/month.
Context.dev supports metered overage on paid plans: $15/10K credits on Developer, $9/10K on Pro, and $7/10K on Scale. Browse.ai doesn't offer the same pay-as-you-go model.
Feature deep dive
How data extraction actually works
This is the biggest difference between the two products, and it shapes everything else.
Browse.ai is visual. You open a website in the browser extension, highlight elements, and the platform builds a robot around CSS selectors. It works fine for static pages with stable layouts. It breaks when a site redesigns, which is often.
Context.dev is an API. You send a URL, you get data. For raw content, you use Markdown or HTML. For structured data, Extract returns an object matching your JSON Schema. No selectors to maintain. No robots to babysit.
// Context.dev: extract specific data points from any site
const result = await client.web.extract({
url: 'https://example.com',
schema: {
type: 'object',
properties: {
pricing_plans: { type: 'array', items: { type: 'string' } },
ceo_name: { type: 'string' },
},
required: ['pricing_plans', 'ceo_name'],
},
});To do the same thing in Browse.ai, you'd manually navigate to the page, click on each element, set up pagination rules, and cross your fingers that the selectors survive the next site update.
Anti-bot and JavaScript rendering
Most modern sites use some combination of bot detection and heavy JavaScript rendering. If your scraper can't handle both, you're going to have a bad time.
Context.dev includes JavaScript rendering and anti-bot handling. The HTML endpoint returns the rendered page DOM rather than an unhydrated application shell.
Browse.ai has basic text CAPTCHA solving and supports cookie-based authentication for login-protected pages. But it doesn't have the same level of anti-bot infrastructure. Users report failures on sites with advanced bot detection, multi-step auth flows, or aggressive rate limiting.
Monitoring and scheduling
I'll give Browse.ai credit here. Monitoring is what it was built for. You set a robot to run on a schedule, it tells you when something changes. If all you need is "email me when this price changes," that works out of the box.
Context.dev's Monitor API can watch a page, sitemap, or structured extraction, expose run and change history, and deliver webhook events. Browse.ai packages scheduling in its visual robot workflow; Context.dev exposes monitoring as an API surface.
Output quality for AI applications
If you're feeding data to a language model, the format matters a lot.
Context.dev's Markdown API returns GitHub Flavored Markdown. Set useMainContentOnly=true to remove surrounding page chrome, and control whether links and images are preserved depending on the pipeline.
Browse.ai exports CSV and JSON tables. That's useful for spreadsheets, less useful for LLMs. There's no "AI-ready" output mode. You get rows and columns, not the kind of contextual text that language models actually perform well on.
Brand intelligence
This one isn't really a comparison. Context.dev has an entire brand data layer. Browse.ai doesn't.
With Context.dev you get logo retrieval (by domain, email, ticker, or company name), color palette extraction, font detection, company descriptions, addresses, social profiles, and industry classifications. Logo Link lets you embed any company's logo with just an <img> tag.
If you need to enrich CRM records, personalize onboarding, build financial dashboards with company branding, or power any kind of company profile page, Context.dev handles it with one vendor. With Browse.ai, you'd cobble together a logo API, a company data provider, and a scraping service.
SDKs and developer experience
Context.dev has first-party SDKs for TypeScript, Python, Ruby, Go, and PHP. The docs live at docs.context.dev. There's an MCP server for plugging directly into AI agent frameworks.
Browse.ai has a REST API for triggering robots and pulling results, but no official SDKs. The API is an afterthought to the visual builder, not the primary interface.
Use case comparison
E-commerce and competitive intelligence
Both tools can scrape product pages. The approach differs.
Browse.ai is good at tracking a small number of competitor product pages on a schedule. Set up a robot, point it at a listing page, get CSV exports of prices and availability.
Context.dev works better when you need product intelligence at scale. Product extracts structured data (name, price, images, features, tags) from an e-commerce URL, while Products discovers and extracts products across a domain. That's useful for building comparison engines, market research tools, or dynamic pricing systems.
// extract all products from a competitor's site
const catalog = await client.ai.extractProducts({
domain: 'competitor.com',
maxProducts: 100,
});
// returns structured data for each product: name, price, images, description, URLAI and LLM applications
These two tools aren't really in the same category here.
Context.dev was built for AI use cases. Markdown produces LLM-ready content. The MCP server gives agents direct access to web scraping and brand data. Extract returns schema-validated structured data. Screenshot and Images can feed visual models directly.
Browse.ai has no AI-specific features. You can dump its CSV output into an LLM prompt, but there's nothing optimized for that workflow.
Brand enrichment and personalization
Context.dev, full stop. Auto-populate user profiles with company branding during SaaS onboarding. Enrich stock tickers with logos and metadata for financial dashboards. Add logos and descriptions to CRM company records. Use brand colors in outreach emails.
Browse.ai can't do any of this. You'd need to bring in separate tools for each piece.
Simple monitoring and alerts
Browse.ai. If you need "email me when this page changes" and don't want to write any code, that's what Browse.ai is for. It's a legitimate strength.
You can replicate this with Context.dev and a task scheduler, and you'll have more control over the logic. But the out-of-the-box experience for simple monitoring goes to Browse.ai.
Reliability and support
Browse.ai
Reliability is a recurring complaint in user reviews. Robots are tied to CSS selectors, and selectors break when sites update their layout. Browse.ai has AI-powered adaptation that tries to fix broken robots automatically, but it doesn't always work. Failed tasks are common enough that multiple G2 and Trustpilot reviews mention them.
Support is another weak spot. Users report slow response times, and some have said that the majority of their robots needed support intervention to work correctly. The Browse.ai team has acknowledged being stretched thin. That's understandable, but it matters if you depend on this tool for production data.
There are also reports of billing issues: difficulty canceling subscriptions and unexpected charges after cancellation.
Context.dev
The API approach avoids the selector problem entirely. There are no robots to break. The headless browser and AI extraction models adapt to whatever HTML they encounter. Layout changes on a target site don't require any action on your part.
Support scales with your plan: email on Free and Starter, Slack on Pro, text on Scale. The API and docs are self-service enough that most developers don't need support to get started.
Integration ecosystem
Browse.ai
Browse.ai plugs into 7,000+ tools through Zapier and Make.com, with direct connections to Google Sheets and Airtable. If your data pipeline lives entirely in spreadsheets and no-code tools, that's a strong story.
Context.dev
Context.dev also integrates with Zapier and Make.com, plus first-party SDKs for TypeScript, Python, Ruby, Go, and PHP, plus an MCP server for AI agents. For developers, SDKs are more flexible than no-code connectors. You can integrate Context.dev into any backend or pipeline.
Logo Link is worth mentioning separately. It requires zero integration. Point an <img> tag at logos.context.dev/{domain} and you're done.
Who should use Browse.ai?
Browse.ai makes sense if you're a non-technical user who needs to scrape a handful of websites without writing code, your use cases are simple scheduled monitoring, and you don't need AI extraction, brand data, or high-volume pipelines.
It's a "good enough" tool for small-scale scraping. Where it struggles is reliability at scale, AI-ready output, and anything that requires programmatic control.
Who should use Context.dev?
Context.dev is a better fit if you're a developer or building developer-facing products. Specifically:
- You need structured, AI-ready web data (Markdown for LLMs, JSON for APIs)
- You need brand intelligence alongside web scraping
- You're building AI applications, agents, or RAG pipelines
- You need extraction that doesn't break when sites update
- You want real SDKs and a developer-first API
- You need high-volume extraction with transparent pricing
- You want an MCP server so AI agents can access web data directly
Migration: moving from Browse.ai to Context.dev
If you're on Browse.ai and want to switch, here's the process.
1. Sign up and get an API key
Create a free account at context.dev/signup. The free tier gives you 500 credits on signup with a work email (250 credits with a free email), enough to validate your use cases before paying anything.
2. Install the SDK
# TypeScript / JavaScript
npm install context.dev
# Python
pip install context.dev
# Ruby
gem install context.dev3. Replace your robots with API calls
Map each Browse.ai robot to the right Context.dev endpoint:
- Page content extraction goes to the Markdown API or HTML API
- Specific structured fields go to Extract
- Product data goes to Product or Products
- Company information goes to Brand Retrieve
- Screenshots go to the Screenshot API
import ContextDev from 'context.dev';
const client = new ContextDev({ apiKey: 'YOUR_API_KEY' });
// replaces a Browse.ai robot that scrapes product listings
const products = await client.ai.extractProducts({
domain: 'example.com',
maxProducts: 50,
});
// replaces a robot that extracts company info
const brand = await client.brand.retrieve({
type: 'by_domain',
domain: 'example.com',
});4. Set up scheduling if you need it
If you relied on Browse.ai's built-in scheduling:
- Use Context.dev's Zapier or Make integration
- Set up a cron job
- Call the API from your own application on whatever schedule makes sense
Bottom line
Browse.ai and Context.dev solve different problems for different people. Browse.ai is a no-code tool for non-technical users who need to scrape a few pages on a schedule. Context.dev is an API for developers who need reliable, structured web data at volume.
If you're writing code, Context.dev gives you more credits per dollar, better output quality for AI, brand intelligence that Browse.ai doesn't have, and extraction that doesn't depend on CSS selectors staying the same forever.
The free tier is at context.dev/signup. Try it and compare.