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Description
Browser Use is an open-source Python library designed to allow AI agents to interact fluidly with web browsers. By merging sophisticated AI functionalities with effective browser automation, it empowers agents to execute various tasks such as job applications, browsing websites, gathering data, and responding to messages on services like WhatsApp. This library is compatible with several large language models, including GPT-4, Claude 3, and Llama 2, making it easier to carry out intricate web activities through an intuitive interface. Among its notable features are visual recognition paired with HTML structure extraction for thorough web engagement, automated management of multiple tabs to streamline complex processes, and element tracking that leverages the extraction of XPaths from clicked elements to replicate specific actions performed by LLMs. Users can also implement custom functionalities, such as saving data to files, executing database queries, sending notifications, or incorporating human input. Furthermore, Browser Use is equipped with smart error handling and automatic recovery mechanisms, ensuring that automation workflows remain resilient and efficient. This combination of features makes Browser Use a powerful tool for developers looking to enhance web automation with AI capabilities.
Description
ScrapeGraphAI is an innovative web scraping solution powered by artificial intelligence that converts unstructured online content into well-organized JSON data. Tailored for AI applications and large language models, it allows users to gather data from a wide array of websites, such as those in e-commerce, social media, and dynamic web applications, all through natural language commands. With a user-friendly API and official SDKs available for Python, JavaScript, and TypeScript, the platform ensures rapid deployment without the need for intricate setup processes. Furthermore, ScrapeGraphAI automatically adjusts to changes in websites, guaranteeing consistent and reliable data extraction. Built with scalability in mind, it includes features like automatic proxy rotation and rate limiting, making it an ideal choice for businesses of all sizes, from startups to established enterprises. The platform operates under a clear, usage-based pricing structure that begins with a free tier and scales according to the requirements of the users. In addition, ScrapeGraphAI offers an open-source Python library that leverages large language models alongside direct graph logic, enhancing its functionality and versatility. This combination of features positions ScrapeGraphAI as a powerful tool for anyone looking to streamline their data extraction processes effectively.
API Access
Has API
API Access
Has API
Integrations
Python
Activepieces
Amazon Web Services (AWS)
Claude
Claude Haiku 3
Claude Opus 3
GPT-4
HTML
JSON
JavaScript
Integrations
Python
Activepieces
Amazon Web Services (AWS)
Claude
Claude Haiku 3
Claude Opus 3
GPT-4
HTML
JSON
JavaScript
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$20 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Browser Use
Country
United States
Website
browser-use.com
Vendor Details
Company Name
ScrapeGraphAI
Founded
2024
Country
United States
Website
scrapegraphai.com
Product Features
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface