
Where to store proxy IP data? Old drivers teach you to avoid the pitfalls
Do data collection friends understand, save a few million proxy IP do not know how to save, as if the collection of scrap to pick up the gold bars - and joy and worry. The traditional database to store a small amount of data is okay, encountered millions of IP pool immediately stuck into PPT. the following share severalIt's been proven in practice.The storage solution that specializes in all kinds of jams and drops.
I. Storage type alignment
Choosing a storage tool is like choosing a mode of transportation, can you use the same car for long distance running and delivery? Look at this comparison table:
| Storage type | Scenario | car crash risk |
|---|---|---|
| Redis | Real-time verification of IP survival | Loss of data due to power failure |
| MongoDB | Store IP attribute tags | Slow query speed |
| Elasticsearch | IP Search by Region | High maintenance costs |
| local document | Temporary backup data | Easily out of sync |
As a chestnut: using ipipgo's dynamic residential IP for crawlers, it is recommended toRedis+MongoDB ComboRedis stores a queue of available IPs and MongoDB records metadata such as geographic location, response rate, etc. for each IP.
// Python connection example
import redis
r = redis.Redis(host='localhost', port=6379)
r.sadd('ip_pool', '123.45.67.89:8080')
from pymongo import MongoClient
client = MongoClient('mongodb://localhost:27017/')
db = client['proxy_db']
db.ip_meta.insert_one({"ip": "123.45.67.89", "country": "US", "speed":0.32})
II. Sub-opening of hot and cold data
Don't stuff fresh veggies and frozen meat in the same freezer! Put in-memory databases (e.g. Redis) for active IPs that are used with high frequency, and dump zombie IPs that haven't been called in 30 days to the hard disk. Automate the migration with this script:
Cold data handling script
def move_cold_data():
hot_ips = redis_client.smembers('active_ips')
all_ips = mongo_client.find()
for ip in all_ips.
if ip['last_used'] < datetime.now() - timedelta(days=30).
if ip in hot_ips.
redis_client.srem('active_ips', ip)
mongo_client.update({"_id":ip['_id']}, {"$set":{"status": "cold"}})
III. IP quality tagging
Labeling IPs is like a supermarket categorizing items and finding them ten times faster! It is recommended to label these attributes:
- Survival status (online/timeout/deactivated)
- Speed of response (within 0.5 seconds marked as good quality)
- Geographic location (down to the city level)
- Protocol type (HTTP/HTTPS/Socks5)
It's especially easy to get IP details with ipipgo's API, and their TK leased IPs come with geo-location tags:
import requests
resp = requests.get('https://api.ipipgo.com/tk-proxy',
params={'apikey':'YOUR_KEY'})
print(resp.json()['city']) directly outputs the city the IP belongs to
IV. Analysis of actual cases
A cross-border e-commerce customer used ipipgo static residential IP + hybrid storage solution, data query efficiency increased by 87%:
- Real-Time Verification Module with Redis Cluster
- IP portrait data stored in MongoDB slices
- Historical log dumping to Elasticsearch
- Weekly cold data backup to OSS
QA Frequently Asked Questions
Q: What if the IP data expands too quickly?
A: Enable the TTL auto expiration mechanism and set the Redis expiration time like this:
redis_client.expire('ip_pool', 604800) 7 days auto cleanup
Q: Will multiple lines of business share IP pools with serial numbers?
A: withAccount system + namespace isolation, for example:
user1:proxy_pool respond in singing user2:proxy_poolCompletely independent
Q: How to quickly recover accidentally deleted data?
A: Do a full backup with mysqldump in the early hours of every morning, combined with Redis' AOF logging, can restore to a state of seconds
Storage Solution Selection Mnemonic
Remember the jingle:
Real-time query with memory, massive data selection distribution
Separate hot and cold to save resources, multiple backups without fear of loss
When it comes to agency services, Crack recommendsipipgo. His static residential IP is 35 dollars a month, stable enough for data collection. If you need to change the IP frequency, choose the dynamic residential package, more than 7 yuan 1G traffic can be used for a long time. The best thing is to support the Socks5 protocol, with their client, two mouse clicks can switch IP, more convenient than the milk tea store to change the staff card.

