Retriever AI
What is Retriever AI?
Retriever AI is an AI-powered web automation platform that retrieves data, navigates websites, fills forms, and completes multi-step browser tasks. Its DOM-native agent reads page structure and accessibility data rather than relying only on screenshots. Users can work through a Chrome extension, schedule headless Cloud runs, or connect the platform to products and AI agents through its API, MCP, CLI, and SDK. It supports public websites, authenticated sessions, structured outputs, webhooks, and workflow replay for recurring operations. The platform is designed for founders, researchers, sales and operations teams, developers, and AI labs that need to turn web-based work into repeatable workflows.
How to use Retriever AI?
1) Create a Retriever AI account and install the Chrome extension or open Cloud; 2) describe the task in natural language, provide starting pages or data, and let the agent execute it; 3) review the structured result, then save the workflow as a shortcut, schedule, trigger, API call, or replayable recording.
Retriever AI's Core Features
DOM-Native Browser Agent: Reads page structure and accessibility data to perform browser actions without relying solely on pixel matching.
Natural-Language Task Execution: Converts an outcome described in plain English into a multi-step web workflow.
Structured Web Extraction: Collects page content, links, records, and requested fields for JSON, tables, sheets, or downstream pipelines.
Authenticated Session Support: Uses signed-in Chrome sessions and optional encrypted cookie sync for workflows involving private sites.
Cloud Browser Automation: Runs workflows in headless browsers on schedules or across high-volume batches without keeping a local tab open.
Workflow Recording and Replay: Captures successful interactions so recurring tasks can be reused with less planning overhead.
API and MCP Access: Connects browser automation and scraping capabilities to products, backends, AI clients, and developer workflows.
Webhooks and Integrations: Triggers jobs from external systems and delivers asynchronous completion results to servers or automation platforms.
Bring-Your-Own-Model Support: Lets users connect supported model providers, ChatGPT plans, or local endpoints to control model usage.
Multi-Tab and Sheets Workflows: Compares pages, processes multiple URLs, and moves extracted information into spreadsheet-oriented workflows.
Retriever AI's Use Cases
- #1
Sales teams enriching event attendees with company, role, and contact details before outreach
- #2
Researchers extracting structured product, pricing, or competitor data from multiple websites
- #3
Operations teams monitoring portals, listings, dashboards, or regulatory pages for changes
- #4
Recruiters completing repetitive job-application workflows across authenticated sites
- #5
Developers building web research, RAG, or enrichment pipelines with the Scrape API
- #6
Marketing teams collecting social media or marketplace data and sending results to spreadsheets
- #7
Support and back-office teams filling forms, moving information between systems, and processing files
Frequently Asked Questions
Analytics of Retriever AI
Monthly Visits Trend: Jun 2025 - Aug 2026
Traffic Sources
Top Regions
| Region | Traffic Share |
|---|---|
| United States | 28.44% |
| India | 23.51% |
| Philippines | 8.32% |
| Netherlands | 5.60% |
| United Kingdom | 4.60% |
Top Keywords
| Keyword | Traffic | CPC |
|---|---|---|
| retriever ai | 650 | -- |
| rtrvr.ia | 200 | -- |
| rtrivr | 490 | -- |
| deepseek-browser-agent: | 130 | -- |
| retriver.ia | 130 | -- |
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