Twitter Web Crawler: Residential Agents Capture Tweets

Why do you have to use residential proxies for Twitter data collection?

Do web crawler old iron should understand, directly with their own IP to glean Twitter data, minutes to be blocked. Last year, I have a project team do not believe in evil, use the IP room to brush three days, the result of the account was wiped out not to mention, even with the company's network were blacklisted.

It's time to move outResidential AgentsThis godsend is up. The best feature of this agent is thatIP address is exactly the same as a real home user, Twitter side can't even tell if it's a real person visiting or a machine operation. Like ipipgo their dynamic residential proxy pool, each request can automatically change the IP, the success rate can be mentioned more than 80%.

import requests
from itertools import cycle

 ipipgo proxy pool configuration
proxy_list = [
    'http://user:pass@gateway.ipipgo.com:8000',
    'http://user:pass@gateway.ipipgo.com:8001', ...
     ... More nodes
]
proxy_pool = cycle(proxy_list)

url = 'https://twitter.com/api/xxx'
for _ in range(5): Failure retry mechanism
    proxy = next(proxy_pool)
    try.
        resp = requests.get(url, proxies={"http": proxy}, timeout=10)
        if resp.status_code == 200:: If resp.status_code == 200.
            If resp.status_code == 200: break
    except Exception as e.
        print(f "Request failed with {proxy}: {str(e)}")

Keep an eye on these three things when choosing an agency service

There are many proxy service providers on the market, but Twitter acquisition is not just buying a proxy can be used. After testing seven or eight service providers, I summarized three core indicators:

Special attention should be paid toIP purityThe proxy IPs of some small workshops have long been flagged by major platforms. Before using a certain unknown service provider, 6 out of 10 IPs triggered CAPTCHA, simply pitiful. Later, I switched to ipipgo's exclusive residential proxy, and the CAPTCHA trigger rate dropped directly to below 3%.

A practical guide to avoiding the pit

It's not enough to have an agent, but the wrong operating position will still turn the car over. Here to share a fewlesson learned through blood and tears::

1. Don't request too regularly.: Don't be stupid and set fixed intervals, it's better to use random delays (0.5-3 seconds)

2. User-Agent to mess with the truth: Don't use Python's default UA, prepare 20 major browser UAs for rotation

3. Exception handling can't be understated: stop immediately for 1 minute when 429 status code is encountered, and switch IP automatically when CAPTCHA is detected.

 Example of masquerading as a browser visit
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',
    
    'Referer': 'https://twitter.com/'
}

 Intelligent delay control
import random, time
def smart_delay():
    base = 0.6 if datetime.now().hour > 2 else 1.2 early morning speed up
    time.sleep(base random.uniform(0.8, 1.2))

Frequently Asked Questions QA

Q: Why is it still restricted even if I use a proxy?

A: Check three things: 1. whether the same IP request too often 2. whether the request header exposes crawler features 3. whether the proxy IP is polluted. It is recommended to use ipipgo's automatic proxy rotation, they will force the replacement of each IP with a maximum of 50 times.

Q: What legal risks should I be aware of when collecting tweet data?

A: Never crawl private accounts or store sensitive user information. It's best to only harvest public tweets and follow Twitter's robots.txt rules. ipipgo offers a compliance guide that can be downloaded by new users who sign up.

Q: How can I improve the efficiency of data collection?

A: Recommended distributed architecture, open 10-20 crawler instances, each instance with an independent proxy channel. ipipgo supports multi-threaded concurrency, a single account can open up to 50 proxy channel, the actual test 8 hours to pick 2 million tweets.

Why do you recommend ipipgo?

In the past six months, we have tested more than a dozen proxy services, and finally locked ipipgo mainly focus on three points: First, theIP resources are wild enoughThey are connected to the local operator resources, unlike some service providers to take the IP room to change a label on the sale; second is theResponsive enoughThe customer service is technical, the last time I encountered a cookie validation problems, engineers directly remote help debugging; the most important thing is that theThe price is top notch.If you buy a corporate package, you can get the cost per G of traffic down to $0.3, which is cheaper than building your own proxy pool.

Recently, they had aTwitter Wire AgentThe IP segment of the U.S. residential area, the collection efficiency is higher than that of the ordinary agent 40%. 5G flow rate is sent to the new user registration, which is enough to test a small project. Need long-term collection of brothers, it is recommended to directly on the customized version of the dynamic residential agent, support API real-time IP replacement, perfect to avoid the wind control.