Browser Harness：LLM 驱动自愈网页自动化 2026 版

pip install browser-harness

from browser_harness import Browser

browser = Browser(headless=False)
page = browser.new_page()

page.goto("https://example.com")
page.screenshot("example.png")

# 语义化选择
page.click("搜索框")
page.type("输入文本")
page.click("提交按钮")

from browser_harness import AI

ai = AI(model="gpt-4")

# 自然语言指令
ai.execute("登录到谷歌账户")
ai.execute("下载最近 3 个月的报表")

# 传统选择器失效时自动重试
element = page.wait_for_selector(
    '#main > div:nth-child(2) > button',
    timeout=5000,
    recovery=True  # 启用自愈
)

# 检测页面布局变化
if page.has_changed():
    ai.reanalyze_page()

browser = Browser("chromium")

browser = Browser("firefox")

browser = Browser("safari")

urls = []
for link in page.links():
    if link not in visited:
        data = ai.scrape(link, extract_fields=["标题", "内容"])
        urls.append(data)

tables = page.tables()
for table in tables:
    structured = ai.parse_table(table)

script = ai.generate_script("""
1. 访问亚马逊
2. 搜索「笔记本电脑」
3. 按价格排序
4. 选前 3 个商品
5. 保存商品信息
""")

# 执行脚本
ai.run_script(script)

from browser_harness import TestSuite

suite = TestSuite()
suite.add_test(
    name="登录流程",
    steps=[
        "访问登录页",
        "输入账号密码",
        "点击登录",
        "验证登录成功"
    ]
)

from browser_harness.docker import ImageBuilder

image = ImageBuilder()
image.add_python_deps(["playwright", "openai"])
image.run("python automation.py")

# 在远程浏览器中运行
browser = Browser(headless=True, remote="https://browserstack.com")

from concurrent.futures import ThreadPoolExecutor

browsers = [Browser() for _ in range(5)]
with ThreadPoolExecutor() as executor:
    results = list(executor.map(run_task, browsers))

browser.cache.enable(ttl=3600)  # 1 小时