
The Pitfalls of Twitter Data Scraping
Anyone who has ever done data crawling knows that Twitter's API is like walking a tightrope - if you're not careful, your account will be banned. last year, a friend who was doing public opinion analysis ran a script for two days, and all 10 accounts were hung up. Later, he realized that the crux of the problem wasRepeated requests from fixed IPs, the server marks the abnormal behavior directly.
This time the proxy IP will come in handy. Like playing hide and seek, each request for a different "vest", so that the platform can not see that the same person in the operation. But the proxy services on the market are a mixed bag, and some proxy pools are as small as a washbasin, hundreds of IPs back and forth, as usual, exposed.
What are the hard indicators to look for when choosing a proxy IP
Here's a bullet point for the gang (knock on wood):
| norm | Guide to avoiding the pit |
| IP purity | Don't use tagged data center IPs, prefer residential proxies |
| Switching frequency | It is recommended to change the IP for each request, so that the platform does not feel the pattern |
| geographic location | Use IPs wherever your target users are, for more realistic data |
Take ipipgo's service for example, they have a homeDynamic residential agent poolThe success rate of the IP is more than 92%, and the IP is automatically changed for each request. 500 requests were sent in a row in last week's test. The key is that their home IP are real equipment network, unlike some service providers to take the server room IP to fill the number.
Hands-on configuration of proxy scripts
Here's a Python example (don't copy it, change it to suit you):
import requests
from itertools import cycle
Proxy format for ipipgo Remember to replace your account with your own
proxy_pool = [
"http://用户:密码@gateway.ipipgo.com:端口",
"http://用户:密码@gateway.ipipgo.com:端口"
]
proxy_cycle = cycle(proxy_pool)
def safe_request(url): for _ in range(3): Failed to retry 3 times.
for _ in range(3): fail and retry 3 times
try.
proxy = next(proxy_cycle)
resp = requests.get(url, proxies={"http": proxy, "http")
proxies={"http": proxy, "https": proxy},
headers={"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64)"}, timeout=10)
timeout=10)
return resp.json()
except Exception as e.
print(f "Failed {_+1}th time: {str(e)}")
return None
Note two details:User-Agent to be randomly generated, don't use Python's default; don't set the timeout to more than 15 seconds to prevent stalled threads.
A practical guide to avoiding mines
I have encountered the most pitiful situation: one day suddenly all the requests returned 403. after checking half a day, I found that it was theAccept-Language field missing from request headerThe first time I used the free proxy, the returned data was even inserted into the advertisement, then I changed the HTTPS proxy to ipipgo to solve the problem. There is also a free proxy, the return data was even inserted ads, and then change ipipgo HTTPS proxy to solve.
A few golden combination configurations are recommended:
- Crawl user profile: residential IP + 2 seconds interval + random UA
- Catch Trending Topics: Mobile IP + 5 Second Interval + Analog Browser Fingerprinting
- Download media files: country IP per request + segmented downloads
Frequently Asked Questions QA
Q: Why did you just change your IP or get banned?
A:Check if the cookie is clean, some platforms will associate device fingerprints. Suggest using ipipgoFull anonymity mode, automatically cleans up the traces.
Q: What should I do if the proxy IP speed is fast or slow?
A: Add a speed test link in the code, and prioritize nodes with low latency. ipipgo has real-time speed test data in the background, and you can directly call their API to get the optimal line.
Q: Do I need to maintain my own IP pool?
A: Never! The high cost of their own maintenance is ineffective. Professional things to professional people, ipipgo's proxy pool updated hourly 20%IP, than manually change the much more worry.
One final piece of cold knowledge: Twitter's APIs are very useful to theNew AccountThe wind control is stricter. There's a tricky way to do it - pairing a quality agent with an older account of 3 months or more boosts the success rate by about 40%. Recently found ipipgo'sLong-lasting static residential IPEspecially good for raising numbers, used it for 7 days straight without a problem.

