Read primary sources
Regulatory filings, court records, academic papers, and public data portals.
AI deep research, on real browsers
The sources a research agent needs were not built for agents. Browserbase gives deep research agents a full browser stack so they can read primary sources, log into gated portals, and run hundreds of research threads in parallel, under one API key. Running on infrastructure that handles 35m+ browser sessions a month.
The Problem
Why most AI research agents hit a wall
- APIs only expose a slice of the web, and the important sources are usually not among them.
- Paywalls, logins, and JavaScript-heavy sites break simple HTTP fetches.
- Anti-bot systems flag headless browsers before the agent finishes a single query.
- Running one research thread at a time turns a five-minute question into an hour of waiting.
- Agents lose context between sites, so citations end up incomplete or wrong.
The Solution
How Browserbase powers deep research at scale
- Real browsers: agents render pages the way a human does, including JS, cookies, and dynamic content.
- Verified: reach primary sources that turn away ordinary tooling, with managed CAPTCHA solving included.
- Agent Identity: Web Bot Auth signs your agent's requests, so publishers can verify it instead of guessing.
- Authenticated sessions: persist logins across runs so agents can reach subscriber and portal content.
- Parallel research: spin up hundreds of concurrent browsers and gather sources at the same time.
- Structured output: hand agents clean text, screenshots, and citations, ready for a final report.
What deep research agents can do on Browserbase
Reach gated content
Subscriber articles, research databases, and authenticated dashboards.
Fan out in parallel
Hundreds of concurrent browsers turn hour-long research into minutes.
Return grounded findings
Full page text, screenshots, and source URLs feed straight into your agent.
Frequently Asked Questions
What is AI deep research?
AI deep research is a workflow where an autonomous agent breaks a question into subtopics, browses many sources on the open web, reads and reasons over each one, and returns a synthesized report with citations. It goes further than a single search or a chat answer because the agent visits real pages and follows leads across the web.
How does Browserbase help AI research agents?
Browserbase gives research agents a cloud browser they can control programmatically. That means the agent can render JavaScript-heavy pages, log into gated sites, clear CAPTCHAs, rotate IPs, and pull down the full text of a source rather than a scraped snippet. It also lets one workflow spin up many browsers in parallel, so an agent can research dozens of angles at once.
Can a deep research agent access paywalled or authenticated content?
Yes, with permission. Browserbase supports persistent sessions, so an agent can log in once with your credentials and keep that session across future research runs. That opens up subscriber news sites, research databases, and internal portals that public scrapers cannot reach.
How is this different from using an API to fetch content?
APIs only cover the small share of the web that publishers choose to expose, and they rarely include the source detail a research agent needs. A browser gives the agent access to the same content a human researcher would see, including tables, footnotes, and linked citations that never appear in an API response.
What frameworks can I use to build a deep research agent on Browserbase?
You can connect any browser automation framework, including Stagehand®, Playwright, Puppeteer, and Selenium. Agent frameworks like the OpenAI Agents SDK, LangChain, and CrewAI plug into a Browserbase session over CDP, so the agent can act like a browser user while your framework handles planning and reasoning.