AI-powered no-code web scraper for instant data extraction
About Thunderbit
Key Features
- Natural Language Scraper Configuration
- Multi-source Extraction (Websites, PDFs, Images)
- Automated Subpage and Pagination Navigation
- Pre-built Templates for Major Platforms (Amazon, LinkedIn)
- AI-Powered Data Cleaning and Formatting
- Direct Export to Google Sheets, Airtable, and Notion
- Scheduled Scraping and Monitoring
Pros and Cons
Pros
- Eliminates the need for coding knowledge to scrape data
- Significantly speeds up lead generation and research tasks
- Intuitive interface with AI assistance
- Versatile export options for seamless workflow integration
Cons
- Initial learning curve for optimizing natural language prompts
- Limited native integrations outside of Google ecosystem and Notion
- Dependency on browser extension for operation
Pricing
Connect with Thunderbit
Frequently Asked Questions
Thunderbit's AI automatically detects and navigates infinite scrolling pages. When configuring your scrape using natural language, specify the desired number of scrolls or a stopping condition (e.g., 'scrape until I see 100 profiles'). The AI will then handle loading more content as needed during the data extraction process.
Yes, Thunderbit can extract data from images, including receipts and invoices. It uses AI-powered OCR (Optical Character Recognition) to identify text and numbers. While accuracy is generally high, it depends on the image quality. Clear, well-lit images will yield the best results, and you may need to use the AI-powered data cleaning features to correct any minor errors.
The free plan has limitations on the number of pages you can scrape per month, which is designed for basic use. While the exact number varies, it's generally suitable for small projects. You can still use the natural language configuration, but complex tasks with multiple layers of subpage navigation might require a paid plan for optimal performance and to avoid hitting usage limits.
Currently, Thunderbit offers native integrations with Google Sheets, Airtable, and Notion. While a direct Zapier integration isn't available, you can often use Google Sheets as an intermediary. Scrape data to Google Sheets with Thunderbit, then use Zapier to trigger actions based on changes in your sheet, effectively connecting Thunderbit to a wider range of apps.
Thunderbit is designed to be user-friendly, but mastering effective natural language prompts takes some practice. The platform offers a knowledge base and tutorials to guide you. Start with the pre-built templates for platforms like Amazon and LinkedIn to understand how prompts are structured. Experiment with different phrasing to refine your queries and achieve the desired results.
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