Build a browser-based research agent for repetitive web tasks
Use browser automation and search APIs to collect structured web evidence for recurring research tasks.
Setup time
3 hours
Time saved
4-12 hours
Best for
AI builders, Researchers, Sales ops, Market analysts
Tools
Browserbase, Airtop, Tavily, Firecrawl, Pipedream
Overview
This workflow helps technical teams make repeatable web research safer by defining sources, schemas, review points, and failure handling.
When to use this workflow
Tools you need
Browserbase
Browser automation
Cloud browser platform for running browser automation, web agents, and scraping workflows.
Visit websiteAirtop
Browser automation
Browser automation platform for AI agents that need to interact with websites and web apps.
Visit websiteTavily
Web data
Search API built for AI agents that need source-backed web research and structured results.
Visit websiteFirecrawl
Web data
Developer-friendly web crawling tool for turning websites into clean markdown or structured data for AI apps.
Visit websitePipedream
Developer automation
Developer-friendly automation platform for connecting APIs, running code steps, and building AI-enabled workflows.
Visit websiteStep-by-step workflow
Define source rules
List allowed sites, query patterns, data fields, and what sources should be excluded.
Tool used
Tavily
Expected output
A source and search rule set.
Create browser tasks
Use a hosted browser to navigate pages, click through lists, and collect visible evidence.
Tool used
Browserbase
Expected output
A repeatable browser task.
Handle interactive pages
Use an agent-ready browser tool for pages that need interactions or form-like navigation.
Tool used
Airtop
Expected output
Structured interactions for complex pages.
Extract clean page data
Crawl relevant pages into structured markdown or clean text for AI analysis.
Tool used
Firecrawl
Expected output
AI-ready web data.
Orchestrate and review
Schedule the task, validate schema, route low-confidence results to review, and store outputs.
Tool used
Pipedream
Expected output
A monitored web research agent.
Prompt templates
Research agent spec
Design a browser-based research agent for this recurring task. Include allowed sources, search patterns, fields to collect, validation rules, failure cases, human review, and output schema. Task: [paste]Evidence validator
Validate these collected web research results. Flag missing sources, weak evidence, duplicates, outdated pages, and fields requiring human review. Results: [paste]Automation ideas
- Create confidence thresholds for human review
- Schedule recurring account or vendor checks
- Store source URLs with every extracted field
Common mistakes
- Letting agents browse without source constraints
- Not storing evidence URLs
- Ignoring pages that block or change layout
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