This SaaS product automates web data extraction using prompts. It's designed for tasks like lead enrichment and onboarding. You can collect data from multiple websites and integrate it with tools like Google Sheets and Zapier. Pricing plans vary based on usage.
Features
Prompt-based Web Scraping
Allows users to quickly extract web data using simple text prompts without complex coding. It's aimed at making data collection more accessible.
Integrated Models for Text Analysis
Utilizes built-in AI models to refine and expand extracted data, enhancing quality and context.
No Manual Scraping Required
Automates the process of gathering data across various sources, eliminating the need for manual intervention.
Integration with Popular Platforms
Seamlessly connects with Google Sheets, Zapier, and other platforms to enrich data within existing workflows.
Data Extraction
Efficiently extract data from websites to create datasets ready for LLMs (Large Language Models).
Crawl and Scrape
Crawl and scrape websites of any size, transforming them into structured data formats without coding.
Easy Integration
Integrate with your stack effortlessly using pre-built connectors and APIs.
Automated Cleaning
Automatically clean and format the extracted data to ensure quality and consistency.
Single URL Scrape
Allows you to input a single URL to scrape data from the webpage directly. This is useful for quickly gathering information from one-page resources.
Crawl
Enables users to input a root URL and crawl the website recursively, collecting data from multiple linked pages. This feature is ideal for exploring entire website structures.
Map
Provides a visual representation or map of the crawled web pages, showing how different pages are linked together. This aids in understanding the website's architecture.
Extract
A beta feature that allows users to extract specific data points from web pages using customizable prompts, making data collection more targeted and precise.
Prompt-Based Data Extraction
Allows users to write a simple prompt to get structured data from any website without manual scraping or complex pipelines.
Automated KYC Processes
Enables automatic know-your-customer processes using structured business information.
Real-Time Tracking
Tracks competitor prices and feature changes in real-time.
Scalable Lead Prospecting
Builds lead prospecting lists at scale using extracted web data.
Zapier Integration
Connects with Zapier for no-code workflow automation, simplifying process integration.
Trend Identification in Codebase
Automatically scans TypeScript codebases to identify recurring patterns and trends in code structure, usage, and dependencies, helping developers understand common coding practices and potential areas for optimization.
Code Pattern Recognition
Utilizes advanced algorithms to recognize and categorize common code patterns, allowing developers to easily spot inconsistencies or potentially problematic code segments.
Interactive Code Analysis
Offers an interactive platform where developers can visualize and manipulate code patterns, providing insights through a user-friendly interface that enhances understanding of codebase dynamics.
Automated Competitor Price Scraping
Automatically extracts competitor pricing data from various online sources. It schedules and executes scraping jobs to update prices at regular intervals. Also, handles anti-scraping measures like CAPTCHA to ensure reliable data retrieval.
Visual Selector Tool
Provides a user-friendly interface for selecting elements from web pages to scrape. This allows for easy configuration of the scraping tool without the need for extensive coding knowledge.
Data Export
Offers data export options in multiple formats including CSV and JSON, enabling seamless integration with other business intelligence and data processing tools.
Customizable Scraping Parameters
Allows users to customize scraping parameters such as frequency, targeted websites, and specific data points. This ensures that the tool can adapt to various business needs and industries.
Error Handling and Reporting
Incorporates error handling mechanisms to manage failed scraping attempts and provide detailed reports on issues encountered during data retrieval.
Beautiful Soup Easy Learning Curve
Beautiful Soup is great for small projects with basic needs. Its learning curve is easy, especially for people new to web scraping.
Scrapy Performance and Flexibility
Scrapy is more powerful and flexible, making it suitable for large-scale web scraping projects. It offers asynchronous operations and built-in support for handling requests.
Data Extraction with Beautiful Soup
Beautiful Soup allows you to quickly extract different parts of the HTML and XML documents, making it suitable for small scraping tasks.
Scrapy Automation Features
Scrapy comes with automation features and spidering capabilities that make it more suitable for complex and large-scale scraping jobs.
Automatic Deployment
Deploy web scrapers automatically without manual interventions, allowing for scheduling and execution in a seamless cloud environment.
Containerization
Utilizes Docker containers to package web scrapers, ensuring consistent performance and easy integration across different platforms.
Scalability Options
Offers scalable infrastructure to handle varying loads, accommodating increases in data scraping needs efficiently.
Error Monitoring
Provides real-time error tracking and logging for web scrapers, enabling quick diagnosis and troubleshooting of issues.