会话管理
Crawl4AI 中的会话管理是一项强大的功能,它允许您跨多个请求维护状态,特别适合处理复杂的多步骤爬取任务。它使您能够在连续的操作和爬取过程中重复使用相同的浏览器选项卡(或页面对象),这有利于:
- 在抓取之前和之后执行 JavaScript 操作。
- 更快地执行多个连续爬取,无需重新打开选项卡或重复分配内存。
注意:此功能专为顺序工作流程而设计,不适用于并行操作。
基本会话使用
使用BrowserConfig
和CrawlerRunConfig
保持状态session_id
:
from crawl4ai.async_configs import BrowserConfig, CrawlerRunConfig
async with AsyncWebCrawler() as crawler:
session_id = "my_session"
# Define configurations
config1 = CrawlerRunConfig(
url="https://example.com/page1", session_id=session_id
)
config2 = CrawlerRunConfig(
url="https://example.com/page2", session_id=session_id
)
# First request
result1 = await crawler.arun(config=config1)
# Subsequent request using the same session
result2 = await crawler.arun(config=config2)
# Clean up when done
await crawler.crawler_strategy.kill_session(session_id)
会话中的动态内容
以下是在保留会话状态的同时跨多个页面抓取 GitHub 提交的示例:
from crawl4ai.async_configs import CrawlerRunConfig
from crawl4ai import JsonCssExtractionStrategy
from crawl4ai.cache_context import CacheMode
async def crawl_dynamic_content():
url = "https://github.com/microsoft/TypeScript/commits/main"
session_id = "wait_for_session"
all_commits = []
js_next_page = """
const commits = document.querySelectorAll('li[data-testid="commit-row-item"] h4');
if (commits.length > 0) {
window.lastCommit = commits[0].textContent.trim();
}
const button = document.querySelector('a[data-testid="pagination-next-button"]');
if (button) {button.click(); console.log('button clicked') }
"""
wait_for = """() => {
const commits = document.querySelectorAll('li[data-testid="commit-row-item"] h4');
if (commits.length === 0) return false;
const firstCommit = commits[0].textContent.trim();
return firstCommit !== window.lastCommit;
}"""
schema = {
"name": "Commit Extractor",
"baseSelector": "li[data-testid='commit-row-item']",
"fields": [
{
"name": "title",
"selector": "h4 a",
"type": "text",
"transform": "strip",
},
],
}
extraction_strategy = JsonCssExtractionStrategy(schema, verbose=True)
browser_config = BrowserConfig(
verbose=True,
headless=False,
)
async with AsyncWebCrawler(config=browser_config) as crawler:
for page in range(3):
crawler_config = CrawlerRunConfig(
session_id=session_id,
css_selector="li[data-testid='commit-row-item']",
extraction_strategy=extraction_strategy,
js_code=js_next_page if page > 0 else None,
wait_for=wait_for if page > 0 else None,
js_only=page > 0,
cache_mode=CacheMode.BYPASS,
capture_console_messages=True,
)
result = await crawler.arun(url=url, config=crawler_config)
if result.console_messages:
print(f"Page {page + 1} console messages:", result.console_messages)
if result.extracted_content:
# print(f"Page {page + 1} result:", result.extracted_content)
commits = json.loads(result.extracted_content)
all_commits.extend(commits)
print(f"Page {page + 1}: Found {len(commits)} commits")
else:
print(f"Page {page + 1}: No content extracted")
print(f"Successfully crawled {len(all_commits)} commits across 3 pages")
# Clean up session
await crawler.crawler_strategy.kill_session(session_id)
示例 1:基于会话的基本爬取
使用基于会话的爬取的简单示例:
import asyncio
from crawl4ai.async_configs import BrowserConfig, CrawlerRunConfig
from crawl4ai.cache_context import CacheMode
async def basic_session_crawl():
async with AsyncWebCrawler() as crawler:
session_id = "dynamic_content_session"
url = "https://example.com/dynamic-content"
for page in range(3):
config = CrawlerRunConfig(
url=url,
session_id=session_id,
js_code="document.querySelector('.load-more-button').click();" if page > 0 else None,
css_selector=".content-item",
cache_mode=CacheMode.BYPASS
)
result = await crawler.arun(config=config)
print(f"Page {page + 1}: Found {result.extracted_content.count('.content-item')} items")
await crawler.crawler_strategy.kill_session(session_id)
asyncio.run(basic_session_crawl())
此示例显示:1. 重复使用相同的session_id
跨多个请求。2. 执行 JavaScript 以动态加载更多内容。3. 正确关闭会话以释放资源。
高级技术1:自定义执行钩子
警告:接下来的几个示例结束时您可能会感到困惑😅,因此在开始之前请确保您对各部分的顺序感到满意。
使用自定义钩子来处理复杂的场景,比如等待内容动态加载:
async def advanced_session_crawl_with_hooks():
first_commit = ""
async def on_execution_started(page):
nonlocal first_commit
try:
while True:
await page.wait_for_selector("li.commit-item h4")
commit = await page.query_selector("li.commit-item h4")
commit = await commit.evaluate("(element) => element.textContent").strip()
if commit and commit != first_commit:
first_commit = commit
break
await asyncio.sleep(0.5)
except Exception as e:
print(f"Warning: New content didn't appear: {e}")
async with AsyncWebCrawler() as crawler:
session_id = "commit_session"
url = "https://github.com/example/repo/commits/main"
crawler.crawler_strategy.set_hook("on_execution_started", on_execution_started)
js_next_page = """document.querySelector('a.pagination-next').click();"""
for page in range(3):
config = CrawlerRunConfig(
url=url,
session_id=session_id,
js_code=js_next_page if page > 0 else None,
css_selector="li.commit-item",
js_only=page > 0,
cache_mode=CacheMode.BYPASS
)
result = await crawler.arun(config=config)
print(f"Page {page + 1}: Found {len(result.extracted_content)} commits")
await crawler.crawler_strategy.kill_session(session_id)
asyncio.run(advanced_session_crawl_with_hooks())
此技术可确保在下一个操作之前加载新内容。
高级技巧2:集成JavaScript执行和等待
结合 JavaScript 执行和等待逻辑,简洁地处理动态内容:
async def integrated_js_and_wait_crawl():
async with AsyncWebCrawler() as crawler:
session_id = "integrated_session"
url = "https://github.com/example/repo/commits/main"
js_next_page_and_wait = """
(async () => {
const getCurrentCommit = () => document.querySelector('li.commit-item h4').textContent.trim();
const initialCommit = getCurrentCommit();
document.querySelector('a.pagination-next').click();
while (getCurrentCommit() === initialCommit) {
await new Promise(resolve => setTimeout(resolve, 100));
}
})();
"""
for page in range(3):
config = CrawlerRunConfig(
url=url,
session_id=session_id,
js_code=js_next_page_and_wait if page > 0 else None,
css_selector="li.commit-item",
js_only=page > 0,
cache_mode=CacheMode.BYPASS
)
result = await crawler.arun(config=config)
print(f"Page {page + 1}: Found {len(result.extracted_content)} commits")
await crawler.crawler_strategy.kill_session(session_id)
asyncio.run(integrated_js_and_wait_crawl())
会话的常见用例
1. 身份验证流程:登录并与安全页面交互。
2. 分页处理:浏览多个页面。
3. 表格提交:填写表格、提交并处理结果。
4. 多步骤流程:跨越多个操作的完整工作流程。
5. 动态内容导航:处理 JavaScript 呈现或事件触发的内容。