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AgentQL is an AI-powered query language for web scraping and automation. It uses natural language selectors to find data on any page, including authenticated content. AgentQL queries are self-healing as UI changes and work across similar sites. Users can define structured data output, making AgentQL versatile for developers and data scientists.

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tinyfish-io/agentql

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AgentQL examples and tutorials

Get started with AgentQL

You will need your API Key and the AgentQL SDK. You can get set up in less than five minutes with the AgentQL Quick Start.

You may want to set up a python virtual environment before you begin. Then you can install Agentql in the virtual env.

Scripts in this repo

Topic Example Name URL
Customizing Web Driver customizing_web_driver.py customizing_web_driver.py
Login to a website login.py login.py
Leveraging Async capabilities async_example.py async_example.py
Headless browser usage headless_browser.py headless_browser.py
to_data() method for working with data levaraging_to_data_method.py levaraging_to_data_method.py
Generalized query across sites same_query_across_sites.py same_query_across_sites.py
Save and reuse logged in state save_and_load_context.py save_and_load_context.py
Waiting for page to load wait_for_entire_page_load.py wait_for_entire_page_load.py
Default Popup Handler default_popup_handler.py default_popup_handler.py
Leveraging List Query list_query_usage.py list_query_usage.py

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AgentQL is an AI-powered query language for web scraping and automation. It uses natural language selectors to find data on any page, including authenticated content. AgentQL queries are self-healing as UI changes and work across similar sites. Users can define structured data output, making AgentQL versatile for developers and data scientists.

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