Buy Data Online: Industry Datasets Download

Why do data downloads always get stuck?

Recently, a friend doing e-commerce complained to me that he used a crawler to grab the price data of competitors, and the IP was blocked just after two days of running. This scene is all too familiar - nine out of ten data downloads are planted on the IP problem. To put it bluntly, websites nowadays have learned to be more sophisticated, and they will block the IPs of high-frequency visitors to death.

There is a misunderstanding here, many people think that changing the IP is the end of the matter. In fact, now the site are engaged inBehavioral FingerprintingThe IP is not useful for changing the IP. Last year, a clothing brand to do market analysis, bought 10 ordinary proxy IP rotation, the results of half an hour of the whole army was wiped out. Later changed to use ipipgo's dynamic residential agent, with the request interval randomization, hard to hold out for three months did not turn over.

What are the doors to look for when choosing a proxy IP?

There are many proxy IP service providers on the market, but there are also many pits. I've compiled a comparison table, you guys feel it:

Focusing on ipipgo'sIntelligent Routing Technology. Their proxy pool monitors the anti-crawl strategy of the target website in real time and automatically switches the most suitable IP type. For example, residential IP for crawling e-commerce data, and server room IP for downloading public datasets, which saves much more effort than manual switching.

Three steps to efficient data collection

Take the crawler veterans have a headache of an e-commerce platform, for example, the practical process looks like this:

import requests
from itertools import cycle

proxies = ipipgo.get_proxy_pool(type='residential') get dynamic residential IP pools
proxy_cycle = cycle(proxies)

for page in range(1, 100): current_proxy = next(proxies)
    current_proxy = next(proxy_cycle)
    try.
        response = requests.get(
            
            proxies={'http': current_proxy, 'https': current_proxy}, timeout=15
            timeout=15
        )
         Data processing logic...
    except Exception as e.
        ipipgo.report_failed_proxy(current_proxy) Automatically rejects failed IPs.

Here's one.Hidden Tips: Insert random, innocuous parameters in the headers. For example, adding an X-Client-Time timestamp, or fine-tuning the Chrome version number in the User-Agent can effectively reduce the probability of being detected.

Real life example: from three days to three hours

A local life platform wants to capture national restaurant data, initially programmed:

1. Build Your Own Server + Free Proxy
2. single-threaded crawling
3. Manually change IP every day

As a result, only three days to catch the data of 7 cities, IP was blocked more than twenty times. After changing to ipipgo:

• start usingIntelligent concurrency control(Automatic adjustment of request frequency)
• opensrequest header obfuscationfunctionality
• set upFailure to Retry Strategy

The same amount of data is done in three hours, during which the anti-climbing mechanism is triggered 0 times.

QA time: what you might want to ask

Q: What should I do if the data download is always stuck in the verification code?
A: It is recommended to enable browser fingerprinting emulation in the proxy configuration. ipipgo's Enterprise package comes with this service.

Q: Why does it slow down when I use a proxy?
A: 80% are using low quality proxy. In the background of ipipgo, you can check the delay of each node in real time, and prioritize the nodes with <50ms.

Q: How to break the need to crawl domestic and foreign websites at the same time?
A: ipipgo's Global Hybrid Proxy Pool supports automatic geographic switching, remember to check the "Intelligent Routing" option in the console.

Finally, a cold knowledge: many people continue to use proxy IP after the expiration of the proxy IP, and as a result, the site marked abnormal traffic. It is recommended to enable the following in ipipgoAutomatic renewal reminders, don't let expired IPs pit your data engineering.