The browser-use Claude Code skill enables interaction with web browsers, automating tasks such as data extraction and form submissions. This skill significantly reduces manual effort, allowing developers and product managers to focus on higher-level tasks.
git clone https://github.com/browser-use/browser-use.gitThe browser-use skill for Claude Code is designed to streamline interactions with web browsers, making it an essential tool for developers and product managers. By automating repetitive tasks such as data scraping, form submissions, and navigation, this skill enhances productivity and minimizes human error. With over 5,320 installs, it has proven to be a reliable resource for those looking to optimize their workflow automation processes. One of the key benefits of the browser-use skill is the significant time savings it offers. By automating mundane tasks, users can redirect their focus towards more complex and strategic activities. For instance, instead of manually collecting data from multiple web pages, users can set up the browser-use skill to extract and compile this information automatically. This not only speeds up the process but also ensures accuracy and consistency in data handling. This skill is particularly beneficial for developers, product managers, and AI practitioners who frequently interact with web applications. Use cases include automating the testing of web applications, scraping competitor pricing data for market analysis, or even populating forms for user testing. The implementation of the browser-use skill is straightforward, making it accessible even for those with limited coding experience. In an AI-first workflow, the browser-use skill plays a crucial role by integrating automation into everyday tasks. It allows teams to leverage AI agents to perform web-related functions without the need for constant human oversight. Whether you're looking to enhance your data collection methods or automate user interactions, the browser-use skill is a valuable addition to any automation toolkit.
["1. Identify the specific website or form you need to interact with and gather the necessary URLs.","2. Clearly define the data fields you want to extract or the form fields you need to fill out.","3. Use the browser-use skill to automate the navigation, data extraction, and form submission processes.","4. Verify the extracted data and ensure the form submission was successful by checking the confirmation message.","5. For better results, ensure the website or form structure is consistent and the data fields are clearly defined."]
Automate data scraping from multiple websites for comprehensive analysis and reporting.
Streamline form submissions for user testing scenarios, reducing the time spent on manual entries.
Test web applications by automating user interactions, ensuring functionality and performance.
Gather competitor pricing data for market research, enabling informed pricing strategies.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/browser-use/browser-useCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Using the browser-use skill, navigate to [WEBSITE_URL] and extract the following data: [DATA_FIELDS]. Save the extracted data in a structured format like CSV or JSON. Additionally, fill out the form at [FORM_URL] with the following details: [FORM_DATA]. Ensure the submission is successful and return the confirmation message.
Successfully navigated to the target website and extracted the requested data fields: product names, prices, and availability status. The data has been saved in a CSV file named 'product_data.csv'. The form at the specified URL was filled out with the provided details and submitted successfully. The confirmation message received was: 'Thank you for your submission. We will contact you shortly.'
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