Browser Automation tools automate repetitive web tasks such as form filling, data scraping, and website monitoring. These tools interact with web pages to track content changes or execute complex workflows without manual input. This type of software serves developers and data analysts who need to extract information or test web applications. Self-hosting these apps ensures that browser sessions and scraped data remain on private infrastructure. This approach prevents external services from accessing sensitive login credentials or private browsing history during automated sessions.
This page lists 5 open source tools in the Browser Automation category. The most popular are changedetection.io, Skyvern and Neko. Most use the AGPL-3.0 or Apache-2.0 license, and 4 offer an official Docker image.
Monitor websites for content updates and receive notifications via Discord, Email, Slack, Telegram, or webhooks.
Automate browser workflows using large language models and computer vision to interact with websites via natural language.
A self hosted virtual browser that runs in docker and uses WebRTC for real time streaming.
Automate repetitive browser tasks through a visual block based interface for data scraping and form filling.
An AI testing agent that converts Gherkin steps into automated end to end web and API tests.
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