Complete list of downloadable resources for public datasets

Proxy IPs can help you fill in the holes in public dataset downloads.

As friends engaged in machine learning know, public datasets are the lifeblood. But down the line you realize that so many official websites hide all sorts of tawdry operations:IP access limit,single-thread speed limit (computing),geographic shielding...At this point, if you don't have some means, you're going to get snagged in a minute.

To give a real scene: last year a buddy climbed a government open platform data, with their own broadband connected to the next 3 hours, the next day IP directly be blacklisted. Later changed the dynamic proxy IP pool, 20 machines at the same time grip, two days on the 20GB of data pick clean.

Strategies for four types of common download challenges

Here's a key comparison chart for you:

Here's the kicker.Multi-IP Segmented DownloadThis is a very interesting operation. For example, if you want to download a 50GB satellite image package, use ipipgo's residential proxy, open 10 threads each with a different IP, the download speed is directly doubled without fear of being blocked.

Practical recommendations: ipipgo manuals

There are so many agency service providers in the market, but doing the data collection part is stillipipgoThe most stable. The family has a one-trick pony--Dynamic Residential IP PoolThe IP is much more reliable than those server room IPs, and you can change your real home broadband IP every time you request it.

To give a real case: a cross-border e-commerce friends to catch Amazon commodity data, with ordinary agents 1 hour to be recognized. After changing ipipgo's intelligent rotation mode, it ran continuously for 3 days without turning over. The secret lies in their IP pool update frequency is fast enough, and areClean IP used by real peopleThe

It's easy to configure, take Python for example:

import requests
proxies = {
    'http': 'http://用户名:密码@gateway.ipipgo.com:端口',
    'https': 'http://用户名:密码@gateway.ipipgo.com:端口'
}
response = requests.get('dataset address', proxies=proxies)

A must-see QA session for beginners

Q: Is it legal to download data using a proxy IP?
A: As long as it does not violate the website robots agreement, the normal collection of public data is no problem at all. ipipgo all IPs comply with local laws and regulations.

Q: Do I need to buy a lot of IP?
A: Never be an ingrate! ipipgo'sDynamic pooling model1 account can automatically switch tens of thousands of IPs, much more cost-effective than buying separate IPs

Q: Why do you recommend ipipgo?
A: three hard core advantages: 1) IP survival time intelligent regulation 2) support for accurate positioning by ASN number 3) have a special data collection optimization line

Q: Do I need a technical background to use it?
A: their visualization console to do a thief, IP switching, traffic monitoring, black and white list of these functions point and click the mouse to get it done!

Guide to avoiding the pit

A final reminder of a few key points:
1. Don't buy junk IPs on the cheap, there are datasets with high recognition rates all over the website.Advanced Anti-Crawl
2. The download frequency is well controlled and is recommended to be used in conjunction with random delays
3. Important data to rememberMulti-Node Backup DownloadPreventing mid-stream cutoffs
4. ipipgo new users remember to collect3-Day Free TrialThe best way to find out is to test it yourself.

In the end, choosing the right tool is half the battle. Instead of fighting with websites, let professionals do professional things. The next time you get stuck in a dataset, try changing the IP entrance, and you may be pleasantly surprised.