Thunderbit

Thunderbit provides AI-powered web scraping that converts webpages into structured data through a Chrome extension and web app. It emphasizes no-code use, aiming at teams such as sales, operations, and marketing. Users describe the tool as able to extract data from various sites with minimal setup and to export results to popular data destinations. The product supports pre-built templates for common sites and an option to use AI to summarize, categorize, and translate output. The system includes a catalog of templates that guide data extraction, enabling consistent fields across runs. The tool supports agent-based scraping and uses plain-English instructions to control what data is collected.

Thunderbit operates by offering a browser-based agent that can distill pages, extract fields, and batch process URLs. It provides an interface to describe the needed data, then the AI agent parses the page to identify relevant fields. Users can run single URL extractions or batch multiple pages, and can authenticate with an API key for programmatic access. The CLI and API enable developers to integrate Thunderbit’s capabilities into workflows, scripts, or third-party systems.

Thunderbit highlights a no-code experience with “One Click Extract” across templates and pages. It supports data output to Google Sheets, Airtable, Notion, or clipboard, and allows AI-assisted restructuring of results through summaries and categorization. The platform promotes widespread use for sales, lead generation, monitoring, and competitive research, with features like subpage scraping, pagination handling, and scheduled refreshes to keep data up to date.

Thunderbit plans include a free tier and paid options, with a focus on web scraping API and browser-based workflows. The site cites integrations to common tools and platforms, and mentions that mass distillation and batch processing are available via the CLI and API. It emphasizes accessibility (no-code) and the ability to adapt to changing site structures through AI-powered field suggestions and agent mode.

Use cases

• Lead generation and contact data extraction
• Monitoring competitors and market changes
• Market research and data enrichment