
Hands-On Twitter Data Grabbing with Proxy IPs
The old iron engaged in data collection know that now many sites on the crawler restrictions more and more ruthless. Especially like Twitter such a big platform, no two brushes will be blocked IP in minutes.Today, we will give everyone nagging how to use the proxy IP to engage in the data safely, by the way, Amway our reliable ip ipgo service.
Why do I have to use a proxy IP?
To give a real case: last week there was a public opinion analysis of buddies, with their own server directly catch tweets, the results just run half an hour on the 403 error. Then he changed the IP to continue to engage in, this time even worse, directly account were blocked. This is a typical case of not doing a good job of IP camouflage, recognized by the platform as a robot.
There are three main pain points that can be solved with a proxy IP:
1. Avoiding IP blocking - Multiple IP rotation reduces risk
2. Breaking through request limits - Sharing of requests across IPs
3. Geolocation requirements - Like trying to catch tweets from a specific region
List of common death-defying maneuvers
| wrong posture | Severity of consequences |
|---|---|
| Single IP High Frequency Request | ⭐️⭐️⭐️⭐️⭐️ |
| No request interval is set | ⭐️⭐️⭐️⭐️ |
| over IP with data center | ⭐️⭐️⭐️ |
| No cookies are handled | ⭐️⭐️ |
Nanny proxy IP configuration tutorial
Here's a chestnut in Python, assuming a dynamic residential IP with ipipgo:
import requests
Proxy information extracted from ipipgo
proxy = {
'http': 'http://用户名:密码@gateway.ipipgo.com:端口',
'https': 'http://用户名:密码@gateway.ipipgo.com:端口'
}
It is recommended to set an interval of 3-5 seconds
import time
def crawl_tweet(keyword):: url = f"{keyword}
url = f "https://twitter.com/search?q={keyword}"
try: response = requests.get(url, proxies=10, time=10)
response = requests.get(url, proxies=proxy, timeout=10)
Remember to handle the CAPTCHA case here
if "CAPTCHA" in response.text: print("CAPTCHA" in response.
print("CAPTCHA triggered, time to change IP!")
return None
return response.text
except Exception as e.
print(f "Request failed: {str(e)}")
return None
Example of use
for page in range(1, 100): data = crawl_tweet("Python")
data = crawl_tweet("Python")
time.sleep(3) Important! You must set the interval
Be careful to set random intervals, don't be silly and fix 3 seconds, you can use random to adjust the float by about 0.5 seconds.
Why is ipipgo recommended?
Our family has been doing global agency services for six years, and we would like to mention a few real advantages:
1. True Residential IP - It's all real home broadband, much more reliable than those server room IPs
2. Automatic replacement - IP change per request, support customized change policies on demand
3. Dedicated customer service - Getting problems directly to the tech guy, responding faster than a takeaway!
Package prices are clearly marked:
- Dynamic residential (standard): from $7.67/GB/month
- Dynamic residential (business): from $9.47/GB/month
- Static residential: from $35/IP/month
Frequently Asked Questions QA
Q: How often do I need to change my IP?
A: Depends on the collection frequency, it is recommended to change IP every 100-200 requests, or immediately change when triggering verification
Q: How to choose between static and dynamic IP?
A: the need for long-term maintenance of the session selection of static, ordinary collection with dynamic more cost-effective
Q: Can I still use my blocked IP?
A: Residential IP general cooling 24 hours will be automatically unblocked, in a hurry you can contact customer service to manually replace the
Finally, to tell the truth, now do data collection without a good agent is really difficult to walk. Instead of tossing their own servers, it is better to go directly to the professional services. ipipgo support pay per volume, new users to send 1G flow trial, specific official website to find customer service girl to test account.

