Documentation Index
Fetch the complete documentation index at: https://docs.cafescraper.com/llms.txt
Use this file to discover all available pages before exploring further.
This document explains:
Why the platform recommends using DrissionPage as the page scraping framework in modern Web data collection scenarios, and the officially recommended standard usage pattern.
1. Positioning and Role of DrissionPage
DrissionPage is a page control and scraping framework based on a real Chromium browser.
It operates the browser engine directly via the Chromium DevTools Protocol (CDP), enabling:
- Full page rendering
- JavaScript execution
- DOM manipulation
- User behavior simulation
DrissionPage is not a browser simulator.
It uses a real browser directly.
2. Officially Recommended Implementation
1️⃣ Connecting to a Remote Fingerprint Browser
try:
Auth = os.environ.get("PROXY_AUTH")
CafeSDK.Log.info(f"Current browser authentication info: {Auth}")
except Exception as e:
CafeSDK.Log.error(f"Failed to obtain browser authentication info: {e}")
Auth = None
return
browser_url = f"ws://chrome-ws-inner.cafescraper.com/ws?apiKey={Auth}"
rest_item = {"url": url, "html": "", "resp_status": "200"}
CafeSDK.Log.info("Connecting to fingerprint browser...")
co = ChromiumOptions()
co.set_address(browser_url)
try:
browser = Chromium(co)
CafeSDK.Log.info("Fingerprint browser connected successfully")
except Exception:
CafeSDK.Log.error("Failed to connect to fingerprint browser")
rest_item["resp_status"] = "403"
return
2️⃣ Page Navigation and Content Retrieval
try:
page = browser.new_tab()
page.get(url)
page.wait.doc_loaded()
html = page.html
rest_item["html"] = html
CafeSDK.Result.push_data(rest_item)
except Exception as e:
CafeSDK.Log.info(f"[Error] Failed to retrieve page HTML: {e}")
rest_item["resp_status"] = "500"
3️⃣ Complete Platform Script Entry Example (Recommended)
import asyncio, sys, traceback, re
import random
import time
import os
from lxml import etree
from urllib.parse import urlparse, urlencode
import hashlib
from DrissionPage import ChromiumOptions, Chromium, errors
from sdk import CafeSDK
async def run():
CafeSDK.Log.info("🚀 Init...")
CafeSDK.Log.info("====================================================")
CafeSDK.Log.info("🚀 CafeScraper TikTok Shop Information Scraper")
CafeSDK.Log.info("====================================================")
headers = [
{"label": "url", "key": "url", "format": "text"},
{"label": "html", "key": "html", "format": "text"},
{"label": "resp_status", "key": "resp_status", "format": "text"},
]
CafeSDK.Result.set_table_header(headers)
input_json_dict = CafeSDK.Parameter.get_input_json_dict()
CafeSDK.Log.debug(f"======input_json_dict====== {input_json_dict}")
url = input_json_dict['url']
try:
Auth = os.environ.get("PROXY_AUTH")
CafeSDK.Log.info(f"Current browser authentication info: {Auth}")
except Exception as e:
CafeSDK.Log.error(f"Failed to obtain browser authentication info: {e}")
return
browser_url = f"ws://chrome-ws-inner.cafescraper.com/ws?apiKey={Auth}"
rest_item = {"url": url, "html": "", "resp_status": "200"}
CafeSDK.Log.info("Connecting to fingerprint browser...")
co = ChromiumOptions()
co.set_address(browser_url)
try:
browser = Chromium(co)
CafeSDK.Log.info("Fingerprint browser connected successfully")
except Exception:
CafeSDK.Log.error("Failed to connect to fingerprint browser")
rest_item["resp_status"] = "403"
return
try:
page = browser.new_tab()
page.get(url)
page.wait.doc_loaded()
html = page.html
rest_item["html"] = html
CafeSDK.Result.push_data(rest_item)
except Exception as e:
CafeSDK.Log.info(f"[Error] Failed to retrieve page HTML: {e}")
rest_item["resp_status"] = "500"
if __name__ == "__main__":
asyncio.run(run())
3. Dynamic Content Handling and DOM Operations
Retrieving a Single Element
# Method 1: CSS selector (recommended)
element = page.ele('.product-title')
element = page.ele('#main-content')
element = page.ele('tag:h1')
# Method 2: XPath
element = page.ele('xpath://div[@class="container"]')
# Method 3: Text matching
element = page.ele('text:Buy Now')
# Check if element exists
if element:
text = element.text
html = element.html
attrs = element.attrs
class_name = element.attr('class')
Batch Element Processing
# Retrieve all matching elements
product_items = page.eles('.product-item')
CafeSDK.Log.info(f"Found {len(product_items)} products")
products_data = []
for item in product_items:
product = {
'name': item.ele('.name').text if item.ele('.name') else '',
'price': item.ele('.price').text if item.ele('.price') else '',
'link': item.ele('.link').attr('href') if item.ele('.link') else '',
}
products_data.append(product)
# List comprehension (concise)
names = [item.ele('.name').text for item in product_items if item.ele('.name')]
Advantages:
- Operates directly on browser DOM
- Independent of unstable raw HTML structures
- Closely aligned with front-end rendering logic
4. Officially Discouraged Practices (Anti-Patterns)
❌ Using sleep to Wait for Page Load
import time
page.get(url)
time.sleep(5)
Issues:
- Cannot guarantee JavaScript execution completion
- Fails on slow pages and wastes time on fast ones
❌ Using requests to Simulate Browser Page Access
requests.get(url, headers=headers)
Issues:
- Incomplete page content
- Easily detected by anti-bot systems
- Unstable and unpredictable success rate