Thunderbit, a San Francisco-based AI startup, launched its vertical AI web data extraction agent, designed to simplify and accelerate data collection for business users in sales, marketing, e-commerce, and research. Unlike general-purpose AI tools, Thunderbit focuses exclusively on transforming unstructured web content into structured, actionable data with minimal user effort, positioning vertical AI as the next frontier in productivity tools.
Launched May 8, 2025, as a Chrome Extension for business users.
Extracts web data in two clicks using natural language prompts.
Targets sales, marketing, e-commerce, and research teams.
Features subpage navigation, real-time structuring, and flexible exports.
Roadmap includes Auto Data Extraction and PDF Parsing Agents.
Trusted by over 10,000 users, rated 4.4/5 on Chrome Web Store.
Thunderbit’s platform, detailed in a May 8, 2025, press release, addresses the time-consuming task of web data extraction, critical for functions like competitive intelligence and lead generation. “Every business function relies on web data in some form,” said Shuai Guan, Co-founder and CEO of Thunderbit. “Thunderbit is purpose-built for that need, giving professionals an AI agent that works like a digital intern.”
Unlike broad AI assistants, Thunderbit’s vertical approach delivers high-precision tools tailored for data extraction, requiring no coding or technical expertise. Its Chrome Extension, with over 10,000 users and a 4.4/5 rating, supports use cases like scraping LinkedIn profiles, Zillow listings, or Amazon product data.
Natural Language Extraction: Users describe desired data in plain English, eliminating CSS selectors or technical setups.
2-Click Scraping: Extracts data from websites, PDFs, images, or documents in two clicks.
Subpage Navigation: Automatically aggregates data from linked pages, such as product listings or profiles.
Advanced Text Extraction: Pulls long-form content like articles or transcripts efficiently.
Real-Time Structuring: Summarizes, categorizes, or translates data instantly for immediate use.
Export Options: Seamlessly exports to Google Sheets, Airtable, Notion, or other platforms.
A real estate agency saved over 20 hours weekly by using Thunderbit to automate property data collection from listing sites, streamlining research and outreach. Marketing teams leverage it for competitor analysis, scraping engagement data and keywords to refine SEO strategies. E-commerce operations monitor stock and prices, while sales teams enrich lead lists with contact data from platforms like Apollo or ZoomInfo.
Thunderbit’s roadmap includes Auto Data Extraction Agents for continuous dataset monitoring and advanced PDF Parsing Agents to extract tables and text from documents, enhancing autonomous data pipelines. Currently available as a Chrome Extension, Thunderbit offers a free tier with 100 steps/month and paid plans starting at $15/month for 500 credits.
Thunderbit aligns with 2025’s rise of vertical AI agents, which focus on domain-specific tasks for greater efficiency, as noted in a January 2025 AIM Research report. Competitors like Kadoa and Extracta.ai offer similar no-code scraping, but Thunderbit’s natural language interface and pre-built templates for sites like Amazon and LinkedIn provide a more user-friendly experience. Posts on X highlight user enthusiasm, with one calling it “the easiest web scraping tool” for non-coders, though some note a learning curve for complex sites.
By simplifying data extraction, Thunderbit empowers businesses to focus on strategic goals, potentially disrupting traditional scraping tools and driving productivity across industries.
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