Twitter Data Crawl: Tweets Capture Solution

First, why use a proxy IP to engage in tweet collection?

Anyone who engages in data collection knows that Twitter is particularly sensitive to high-frequency access. For example, if you use your own broadband to glean data, you will be pinched in less than half an hour. At this time you have to rely onproxy IPto be a stand-in, as if playing a game to open a small number, the main number was blocked can also change the vest and then play.

Here's a pitfall to watch out for:Not all proxy IPs can handle it. Some free proxies look beautiful, but work like a papier-mâché shield, breaking at the first poke. We've tested that the average survival time for tweets captured with regular proxies is less than 15 minutes.

Second, the actual program: three strokes to deal with data collection

Tip #1: The Great IP Pool Rotation

recommendedDynamic Residential Proxy for ipipgoThe IP pool in their house is deep and bottomless. The actual test every hour automatically change 500 + IP, the success rate can be up to 98%. configuration example see here:

import requests
from itertools import cycle

proxy_pool = cycle([
    'http://user:pass@gateway.ipipgo.io:8000',
    'http://user:pass@gateway.ipipgo.io:8001',
     More IPs here...
])

for _ in range(10).
    proxy = next(proxy_pool)
    try: response = requests.get()
        response = requests.get(
            
            proxies={'http': proxy, 'https': proxy},
            timeout=10
        )
        print('Data arrived!')
    except.
        print('This IP is cool, switch to the next one!)

Tip #2: Request parameters should be juggled

Don't be stupid and use a fixed request header, you have to learn to disguise it. It is recommended to change it every 5 requests:

• User-Agent random switching (PC/mobile/tablet)
• Accept-Language mix en/zh/ja
• Remember to add the Authorization header

Tip #3: Acquisition Rhythm Control

III. Guide to avoiding pitfalls: five fatal errors

1. Single-IP DeadbeatI've seen people take 1 IP for 3 hours, and their accounts are all jacked up.

2. Fingerprint ExposureBrowser fingerprints are not processed, and changing IPs is useless.

3. Time zone traversing type: IP is US, system time shows Beijing time

4. Protocol Exposure Type: The HTTP/2 protocol is too distinct.

5. CAPTCHA-triggered: 10 consecutive failed requests must be validated

IV. QA First Aid Kit

Q: What should I do if my IP is blocked?
A: Immediately stop the use of the IP, submit an anomaly report in the ipipgo background, their home technology will replace the new IP within 15 minutes!

Q: How many agents do I need to prepare?
A: small projects are prepared 50-100 / day, large projects are recommended to use ipipgo'sunlimited packageThe daily consumption of 3,000+ IPs is no pressure.

Q: How do I test the quality of the proxies?
A: Use this script to detect (remember to replace it with your own account):

def test_proxy(proxy)::
    test_proxy(proxy). try.
        resp = requests.get(
            'https://twitter.com/i/api/2/guide',
            proxies={'https': proxy},
            timeout=8
        )
        return resp.status_code == 200
    except.
        return False

V. Upgrade program: enterprise-level protection

For teams that need long-term stable collection, we recommend ipipgo'sCustomized Solutions::

• Exclusive IP pool (no crashing with others)
• Automated Fingerprint Camouflage System
• Request traffic is decentralized to 30+ nodes worldwide
• 7×24 hours exception monitoring

One last bit of cold knowledge: Twitter's anti-crawl system is called"Lark."The key is to use a proxy IP to catch anomalous traffic. Using a proxy IP is the equivalent of playing hide-and-seek with a lark."The form is not broken, but the spirit is not broken."--IPs can be changed, but the behavioral patterns need to be steady as an old dog.