WorkBuddy Browser Extension in Action: Let AI Automatically Collect Data, Organize Spreadsheets, and Generate Reports

What Is Browser Automation?

AI tools we use daily, like ChatGPT and DeepSeek^Ad, interact through a chat box: you send content to the AI, and it responds based on that content. This model has a natural limitation—the AI can only process the information you feed it. If you want it to search a website for content, read data, or even perform interface actions like clicking and pagination, the AI needs the ability to operate a browser.

Browser automation, in essence, lets AI directly read webpage information and execute browser actions based on instructions. According to a Bilibili creator's demo, the WorkBuddy^Ad browser extension was built exactly for this: users hand a task to WorkBuddy, which first analyzes and breaks it down, then indirectly operates the browser through the extension, visits target websites, reads information, and ultimately completes data collection and analysis. This means AI is no longer just a Q&A tool—it genuinely participates in business workflows.

Browser automation is not a new concept in tech. Early implementations were mainly through frameworks like Selenium, Puppeteer, and Playwright, where developers wrote scripts to simulate clicks, input, pagination, and other actions. Traditional solutions require knowing the page structure in advance (such as element selectors), and scripts break once a website is redesigned. AI-driven browser extensions like WorkBuddy differ in that a large model dynamically understands page content and autonomously decides the next action, no longer relying on fixed scripts. The extension typically communicates with the browser via Chrome extension APIs; the AI issues structured instructions (open a URL, extract text from a region, click a button), and the extension executes them and returns results to the model, forming a "perceive—decide—execute" loop. This architecture lets AI handle websites it wasn't pre-adapted for, but it also brings practical challenges like login-state management and anti-scraping restrictions.

WorkBuddy Extension Installation and Preparation

The installation process is straightforward. In the WorkBuddy local client, click the icon in the lower-left corner to enter settings, find the "Browser Control" option under "Agents," and you'll see it supports browser extensions for Chrome, Edge, and others. Clicking "Go to Install" redirects to the corresponding extension store page, where you can install directly. The author had already installed the Chrome extension in the demo, indicating that basic environment preparation requires only this step.

The value of this step: the extension acts as a bridge between the AI and the browser, allowing the AI's instructions to be translated into real page operations.

Case Study 1: Collecting Bilibili Video Data into Feishu Bitable

The creator set a very specific requirement: research videos on Bilibili related to "Xiaohongshu product selection tutorials," find the top 30 videos, collect data and write it into Feishu Bitable, then use the dashboard feature for analysis.

The traditional approach is to manually open Bilibili, search keywords, open each video one by one, copy views, likes, comments, favorites, and other data, paste them into a spreadsheet, and finally manually create a dashboard—a tedious and time-consuming process. Handed to WorkBuddy, the flow becomes: open Bilibili and search keywords, extract data, connect to Feishu via Feishu CLI, write to Bitable, and generate a data dashboard.

The author noted that WorkBuddy completed the entire task in just over two minutes. During the process, the Feishu data expired, and the extension generated a QR code; after scanning it with the Feishu app to log in, execution continued. The final output was a table containing 30 video records, covering titles and interaction data such as likes, views, comments, and favorites, with the dashboard also generated directly by the AI through Feishu CLI.

Feishu Bitable is a structured data tool in the Feishu suite, positioned between a spreadsheet and a lightweight database: each column can have a field type (text, number, date, person, link, etc.), and it supports view switching, kanban grouping, and automated workflows. Unlike regular Excel, Bitable can programmatically write records and create views via API—exactly the prerequisite for WorkBuddy to automatically build tables, populate data, and generate dashboards using "Feishu CLI." The "Feishu CLI" mentioned refers to a command-line interface tool that allows the AI to call Feishu Open Platform capabilities via scripts, completing authentication, table creation, batch writing, and other operations without manual clicking in the UI. The QR code login popup after data expiration is a typical interaction of Open Platform OAuth authorization: after the token expires, re-authorization is required, and the extension hands the authorization entry point to the user.

Case Study 2: Xiaohongshu Note Collection and HTML Visualization

The second case is collecting Xiaohongshu notes. The author first had WorkBuddy open Xiaohongshu, manually logged in to the browser, then handed the context to it to operate, searched for "WorkBuddy popular notes," also wrote to Feishu, and additionally requested an HTML display page.

This is secondary processing after data collection and the final step of the entire workflow. The final page displayed 66 notes, including modules for likes ranking, content distribution, author influence, data insights, and detailed viral note breakdowns. This "collect—organize—visualize" chain compresses work that originally required multiple tools into a single task.

In Case 2, "handing the context to it to operate" involves a key mechanism of browser automation: login-state sharing. Content platforms like Xiaohongshu usually require login to search and browse complete data, and direct AI operation may trigger risk controls or fail to complete CAPTCHAs. A common approach is to have the user manually log in within the browser window controlled by the extension, after which the AI reuses that browser session (cookies, LocalStorage, etc.) and continues collection in a logged-in state. This approach bypasses the compliance and technical obstacles of automated login while making the AI's operations closer to real user behavior. As for "generating an HTML display page," this lets the large model directly output front-end code (HTML/CSS/JS), rendering structured data into charts and card-style layouts, saving the work of using BI tools or hand-writing front-end code.

Case Study 3: Taobao Product Selection Data and HTML Report

The third case targets Taobao webpages: search for the keyword "plush toys," scrape data and write it to Excel, while generating an analysis report. Outputs include bar charts, product selection structure diagrams, and a document report covering feasible conclusions, data descriptions, market prospects, sales data, competitive landscape breakdowns, and more.

From the demo, any webpage the browser can open can theoretically be operated and scraped—JD.com web version, Channels, Douyin web version, and others are all within capability.

Three Layers of Capability: From Acquiring Information to Delivering Results

The author summarizes the value of such browser extensions into three levels:

1. Acquire information: no manual effort needed—AI actively retrieves webpage data;
2. Execute tasks: AI breaks down tasks and directly operates the browser;
3. Deliver results: information collected in the first two steps is handed to AI to generate analysis reports or required data results.

Together, these three points change not just efficiency but the business process itself—AI shifts from "a tool that answers questions" to "a link that participates in execution." For roles that repeatedly do web data collection, spreadsheet organization, and report output, this expansion of capability boundaries is worth watching.

One-line Summary

WorkBuddy browser extension enables AI to autonomously operate the browser for data collection, spreadsheet writing, and report generation.

Paragraph Summary

The article introduces how the WorkBuddy browser extension gives AI the ability to operate a browser. Installation only requires entering "Browser Control" in the client settings and jumping to the extension store to complete. The author demonstrates with three practical cases: collecting data on 30 Bilibili videos related to "Xiaohongshu product selection tutorials" and writing it into Feishu Bitable and generating a dashboard in about two minutes; collecting 66 Xiaohongshu notes and generating an HTML visualization page; scraping Taobao "plush toy" data into Excel and outputting an analysis report. The author summarizes the value into three layers—acquiring information, executing tasks, and delivering results—believing AI thus shifts from a Q&A tool to an execution link participating in real business workflows.