Context-as-a-Service

The web data layer
for context builders

Retrieval and agentic workflows are hard enough. We maintain the scalable, reliable web data pipeline underneath, so you can focus on your logic.

Start with 5,000 free requests
From web to your product LIVE
Public web sources
Search Companies People Videos News Marketplaces
Bright Data
Unlock · Extract · Structure
99.95%
first-try
structured, verified data
Your product
Analyze · Enrich · Surface insights
context layer
Insight delivered to agent
Why it matters

The cost is keeping retrieval reliable.

A single lookup is cheap. The cost comes from changing pages, blocked requests, retries, stale data, and repeated enrichment at scale. Bright Data handles that web data layer, reducing cost per company by up to 98.6%.

01
Every new source adds maintenance
Sites change, blocks evolve, and every fix becomes part of your unit cost.
02
Stale data weakens the product
Outdated data points become bad context.
03
Coverage gaps become product gaps
Missing sources create blind spots.
04
Engineering gets pulled into plumbing
Your team should build product logic, not anti-bot workflows.
Start with 5,000 free requests Read the docs
The framework

Four properties make web data usable for contextual products

Your product creates the context. Bright Data supplies the web data layer underneath: fresh, structured, traceable, and reliable for retrieval at scale.

Structured
Clean HTML, Markdown, screenshots, or structured JSON and CSV, depending on the workflow.
Fresh
Freshness as a first-class SLA, not a pipeline property. Re-crawled on request and timestamped at the moment of use, so the model never reasons over yesterday's truth.
Traceable
Data can be tied back to the source URL, fetch time, and collection workflow behind the result.
Reliable
Built to keep retrieval working through blocks, layout changes, dynamic pages, and scale.
How it works

Call the platform. Get clean, structured context back.

Route collection through Bright Data instead of a stack you maintain. Pick the product that fits the job, from a single Web Unlocker call to Scraper Studio and Datasets, and the unblocking, extraction, and structuring happen for you.

1 Request
Call the API on any public URL, or wire up the MCP server so an agent can do it directly. No proxies to manage, no anti-bot systems to fight, no scrapers to maintain.
2 Resolve
CAPTCHAs, fingerprinting, IP rotation, and cookie handling resolve automatically behind the call. 15 years of anti-bot R&D, with a 99.95% platform success rate.
3 Deliver
Clean HTML or structured JSON comes back, timestamped and source-traced, ready to drop straight into your context window or pipeline.
web_unlocker.request
# one call to a site that blocks standard collection
POST https://api.brightdata.com/request
{ "url": "https://target.com/data", "format": "json" }

# clean, structured, timestamped. unblocking handled for you.
200 OK → { "entity": {...}, "fetched_at": "2026-06-08T11:04Z" }
Try it on your hardest site Read the docs
Platform

The full web data layer, under your product

Start with one product and expand across the platform. Every piece is built to feed agents and pipelines, not analysts.

Web Unlocker
One API call to any website. Clean HTML or JSON back, every time. Handles the entire unblocking stack automatically.
SERP API
Structured search results as clean JSON from Google, Bing, and more. The direct replacement for the retired Bing Search API.
Scraper Studio
AI agent and hosted IDE for building custom extractors on Bright Data's network. Describe the site, ship a production scraper, skip the proxy and anti-bot code.
Datasets Marketplace
Pre-collected, structured, daily-refreshed datasets across 350+ sources. Skip the pipeline build for companies, people, jobs, real estate, and news.
Discover API
Real-time web discovery for agents. Give it a query and intent, get back a ranked list of live, verified URLs ready to extract. No hardcoded URL lists.
Web Archive
90 PB of historical web data, including anti-bot protected sites. The discovery and backfill layer for any context product.
Production scale

Built for consistent retrieval in production.

99.95%
platform success rate
99.99%
uptime SLA
400M+
residential IPs, 195 countries
50,000+
customers worldwide

Keep the moat, hand us the maintenance. Your best engineers spend the next year on the index and the ranking, not on anti-bot upkeep.

Redeploy your engineers, start free Talk to the AI team
FAQ

Common questions

Are you a competitor to my context product? +
No. We run underneath context products, not against them. Your product is the context logic: the index, the entity resolution, the retrieval, the freshness SLA. We are the web data layer that keeps it fed with fresh, structured, unblockable data.
We keep hitting 403 and 429 errors at scale. Does this solve that? +
Yes. 403 (forbidden) and 429 (too many requests) are exactly what the unblocking stack is built for. IP rotation, request pacing, fingerprint management, and retry handling run behind the call, so your pipeline receives a clean response instead of an error to catch, back off, and re-queue.
Do you handle CAPTCHAs and bot detection? +
Yes. CAPTCHAs, browser fingerprinting, TLS and header checks, and JavaScript challenges are resolved automatically. It is 15 years of anti-bot R&D behind a single call, with a 99.95% platform success rate on the sites that block standard collection.
What about JavaScript-heavy sites and single-page apps? +
Handled. The platform renders JavaScript and returns the fully loaded page or the exact structured fields you asked for. Infinite scroll, lazy-loaded content, and SPAs are not a special case you have to script around.
How does this reduce token spend? +
Two ways. First, a far higher first-try success rate means fewer failed requests and fewer retries for your agent to reason through. Second, we return structured JSON instead of raw HTML, so a page that cost roughly 50K tokens collapses to around 2K. Fewer retries, far less context bloat.
Can it feed a RAG pipeline or vector database? +
Yes. Structured JSON drops straight into a chunking and embedding pipeline. Because every record is typed and timestamped, your retrieval layer stays fresh and traceable instead of stale and unverifiable, which is what protects the accuracy of what your agent retrieves.
Can I control how fresh the data is? +
Yes. Freshness is a first-class control. Re-crawl on demand, and every record is timestamped at the moment of fetch, so you can enforce a freshness SLA, for example no data older than 72 hours, rather than hope a cache is current.
Can it handle high-concurrency collection at scale? +
Yes. Unlimited concurrency with auto-scaling across 400M+ residential IPs in 195 countries. Whether you need a thousand pages or a hundred million, the platform scales without you provisioning proxies or tuning rate limits.
What about compliance for our enterprise buyers? +
Court-tested, not just certified. Certs your competitors will eventually get; a won lawsuit they cannot. Bright Data holds ISO 27001, SOC 2 Type II, and CSA STAR Level 1, with GDPR and CCPA, plus court-tested legal standing (Meta v. Bright Data, 2024). Build on us and you inherit a compliance story you can hand to your own enterprise buyers.
How hard is the integration? +
Light. Call the API on your target URL, or run npx @brightdata/mcp to give an agent the live web directly. No proxies to manage, no anti-bot systems to maintain, and you can keep your existing scrapers for the easy sites and route only the hard ones to us.
Can I test it on my own hardest sites? +
Yes. Start with 5,000 free requests on the full stack, no card and no expiry. Run it against the specific sources that give your pipeline the most trouble and compare the success rate yourself.

You build the logic. We handle the web data.

When the fetch fails, your agent doesn't. Test Bright Data on your hardest sources with 5,000 free requests. No card. No expiry.

Start with 5,000 free requests Talk to the AI team