IPIPGO ip proxy Web page crawling paging: paging data crawling program

Web page crawling paging: paging data crawling program

First, paging crawl for why always stuck? First find the problem and then solve a lot of brothers in the data crawl, encounter paging headache. For example, e-commerce site's list of goods, obviously looking at 100 pages of data, the results of the crawl to the fifth page of the blocked IP. this time do not be in a hurry to change the crawler framework, the root of the problem is often in the I...

Web page crawling paging: paging data crawling program

First, paging crawl for why always stuck? First find the problem and then solve it

Many brothers in the data crawl, encounter paging headache. For example, e-commerce site's product list, obviously looking at 100 pages of data, the results of the crawl to the fifth page of the IP is blocked. this time do not rush to change the crawler framework.The root of the problem is often in IP exposureThe

The traditional approach is to reduce the frequency of requests, but this is too inefficient. A smarter approach is to "vest" each paging request - access it with a different proxy IP. It's like going out in different clothes every day, so the security guards don't recognize you as the same person.


import requests
from itertools import cycle

 Dynamic proxy pool provided by ipipgo (example)
proxies = [
    "http://user:pass@gateway.ipipgo.com:8001",
    "http://user:pass@gateway.ipipgo.com:8002", ...
     ... More IPs
]
proxy_pool = cycle(proxies)

for page in range(1, 101): current_proxy = next(proxy_pool)
    current_proxy = next(proxy_pool)
    current_proxy = next(proxy_pool)
        response = requests.get(
            f "https://example.com/products?page={page}",
            proxies={"http": current_proxy}
        )
         Processing data...
    except Exception as e.
        print(f "Error capturing page {page}, switching IPs automatically")

Second, paging parameters of the fancy crack method

The paging mechanism of different websites is like different styles of locks, you have to use the corresponding key to open them:

Pagination type recognition skill agency strategy
Explicit page numbers (page=2) Observe the changes in the tail of the web site IP change every 5 pages
Scroll loading Grabbing packets to find XHR requests Changing IPs every time you scroll
encryption parameter Reverse Parsing JS Code Separate IP for each request

Focusing on the most difficult encryption parameter, such sites will carry encrypted tokens in the paging request. this time it is recommended to use ipipgo'sLong-lasting static IP, together with the randomization of the request interval (e.g., stopping for 3-7 seconds), can effectively avoid being recognized.

Third, the proxy IP of the actual match skills

Using a good proxy IP is like mastering the fire in a stir-fry, a few key points:

1. Rotation tempo should be randomizedDon't fix IP change every 5 pages, you can set it to switch randomly from 3 to 8 pages.
2. Protocol type to counterparts </ strong: encounter HTTPS site must use https proxy, this point ipipgo's proxy support dual protocols
3. Failure to retry with toggle: Immediate abandonment of an IP after 2 consecutive failures

Here to give a real case: a crawler project with ordinary agents can only catch 20 pages of data, replaced by ipipgo'sDynamic Residential IPAfter that, 5000+ pages were successfully crawled and the cost was also reduced by 30%.

IV. Frequently Asked Questions QA

Q: What should I do if I always encounter IP blocking?
A: Check three points: ① whether the proxy anonymity is high enough ② whether the User-Agent is random ③ whether the request header with fingerprint features. It is recommended to use ipipgo's high anonymity IP, which comes with a request header cleaning function.

Q: How to break the duplication of paging data?
A: Allocate independent storage space to each IP, and finally de-duplicate and merge. ipipgo'sIP Binding FunctionThe export IP can be fixed for easy data tracking.

Q: How to manage the agent pool for asynchronous crawling?
A: Use a connection pooling management tool, such as scrapy's proxy middleware. ipipgo provides a ready-made SDK that can be integrated into the crawler framework in three lines of code.

Fifth, choose the right tool for twice the effort and half the effort

At the end of the day, pagination capture is a game of hide and seek. ipipgo'sIntelligent Routing SystemThere are three main tricks:
1. Automatic identification of website types to match the best IPs
2. Automatic fusing of anomaly requests
3. Real-time generation of virtual browser fingerprints
These features make paging capture like hanging, especially suitable for the need for long-term stable collection of the scene.

Finally, remind newbie friends, don't toss free proxies by yourself. Last year, a customer with a free IP grab data, the results of the website anti-grip, received a sky-high bill. Professional things are still given to ipipgo such regular army, there is a technical guarantee but also worry.

This article was originally published or organized by ipipgo.https://www.ipipgo.com/en-us/ipdaili/38128.html

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