AI 浏览器自动化,处理复杂动态网站,提取结构化数据。

适用场景

Market researchers, price monitoring, lead generation from directories, competitive analysis.

前提条件

Python 3.10+, Browser Use, Playwright, OpenAI/Claude API key

工作流图

用 Browser Use 自动采集网页数据

Install Browser Use
Define Collection Task
Add Login Handling
Data Validation
Export and Schedule

分步指南

  1. 1

    Install Browser Use

    pip install browser-use. Set up Playwright browsers: playwright install chromium. Configure your LLM (OpenAI/Claude). Test with a simple navigation task to verify setup is correct.

  2. 2

    Define Collection Task

    Write a natural language instruction: Go to [website], navigate to [page type], for each [item], extract [fields: name, price, description, rating]. Handle pagination by clicking next page button. Stop after 50 items.

  3. 3

    Add Login Handling

    If the site requires login, provide credentials in the task: First, log in with username [USER] and password [PASS]. Then navigate to the data pages. Browser Use will handle the login form automatically.

  4. 4

    Data Validation

    Add a post-processing step that validates extracted data: check for missing fields, validate data types (price is number, rating is 1-5), deduplicate by unique identifier. Use Python pandas for data cleaning.

  5. 5

    Export and Schedule

    Save extracted data to CSV/JSON. For recurring collection, wrap in a cron job or n8n workflow. Add error handling: retry failed pages, log blocked requests, send alert if collection success rate < 80%.

标签

#browser-use#web-scraping#data-collection#automation