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Adding Input Fields:
Users can add new input fields for specifying CSS classes and column names using the "Add Field" button.
Fields include options to specify a CSS class, column name, and whether to parse links.
Data Extraction:
The "Extract Data" button allows users to extract data from a web page based on the specified CSS classes.
Data can be extracted as text content, image URLs, or link URLs.
Saving Data in Excel Format:
Extracted data is saved in Excel (.xlsx) format, making it easy to analyze and process.
Request History:
History keeps track of past requests, including the webpage URL, date and time of the request, and field settings.
Users can view the history of requests and delete all records.
Settings:
Users can configure extension settings through a dedicated settings page.
Settings allow for adjustments to data saving parameters and interface display.
Content Interaction:
The "Add Field" and "Extract Data" buttons interact directly with the web page via content scripts.
Users can enable or disable content scripts on the active page.
Minimize Window:
A "Minimize" button allows users to collapse the extension window to free up screen space.Import/Export Settings:
The import and export functions have been removed, as request history now serves as the storage solution for data.
Window Interaction:
The extension window opens with the content script when clicking the extension icon, ensuring access to all features without closing the current tab.
Link Parsing Checkbox Functionality:
Checkbox options for parsing links from web pages have been added, allowing users to save data only from active links.UI/UX Enhancement:
The interface can be improved to enhance usability and design.
Expanded Data Extraction Capabilities:
Support for additional data types or output formats can be added.
Automation and Scheduling:
Implementing automatic data extraction based on a schedule or specific events.
Integration with Other Services:
Connecting to third-party services for further data processing or automatic cloud storage.Parser to trigger the image generation.parser_data to trigger the image generation.