Goodreads Dataset: Proxy IP Collection for Book Reviews

When Book Lovers Meet Data Collection

Recently, a friend who does book list recommendation came to me to complain, saying that he wanted to grab the book ratings on Goodreads to do data analysis, and as a result, he just grabbed 200 pieces of data and his IP was blocked. This is like going to the market to buy food, just picked two cabbages and was kicked out by the stall owner, do you think it's suffocating? At this time we have to invite our savior - proxy IP.

What can a proxy IP really do?

As a solid example, let's say you want to capture 5,000 book reviews of One Hundred Years of Solitude on Goodreads. If you use your own IP to capture them directly, the site will immediately recognize the abnormal traffic. But if you use a proxy IP, it's the equivalent of every visit to thechange identitiesGo knock on the door and the site security can't detect anything unusual at all.

Practical operation hands-on teaching

Here's a chestnut in Python, let's say we want to collect data on the ratings of a particular book. Focus on.Agent Settings section, other codes can be adjusted according to the actual needs:

import requests
from itertools import cycle

 List of proxies provided by ipipgo
proxies = [
    "203.34.56.78:8000",
    "198.123.45.67:8800",
    "176.89.12.34:8080"
]
proxy_pool = cycle(proxies)

for page in range(1, 100): current_proxy = next(proxy_pool)
    current_proxy = next(proxy_pool)
    current_proxy = next(proxy_pool)
        response = requests.get(
            f "https://www.goodreads.com/book/reviews/12345?page={page}",
            proxies={"http": current_proxy}, timeout=10
            timeout=10
        )
         Here's the code that handles parsing the data...
    except Exception as e.
        print(f "Failed to capture with {current_proxy}, automatically switching to next IP")

Be careful to look likeopen a blind boxThe same random switching IP, do not catch an IP hard grip. ipipgo's dynamic residential proxy is particularly good, each request can get a fresh IP, than with a fixed IP stable much more.

Guidelines on demining of common problems

Q: Why is it still blocked after using a proxy?
A: 80% is the IP quality is not good, the market many free agents are ten thousand people ride the dirty IP. suggest using ipipgo.Exclusive agency servicesTo ensure that the IP is clean and hygienic

Q: How fast can I collect?
A: This depends on the agent package, ipipgo's enterprise package supports20 requests per second. But be careful to set reasonable intervals, too fast is easy to be anti-crawler targeting

The doorway to choosing a proxy service

You have to look at three things to pick a proxy IP service:
1. IP pool size (ipipgo has)90 million +(dynamic resources)
2. Success rate (measured ipipgo API interface)99.2%(Available)
3. Speed of response (average)800ms(data returned within)

Lastly, data collection is like fishing, and the proxy IP is your fishing rod. Use professional fishing gear like ipipgo to catch the big fish of Goodreads steadily. Don't try to be cheap and use a bad fishing rod, then you won't catch any fish but also wet your pants, which is a big loss!