Online data collection tools: online proxy data collection platforms

How many of data collection's biggest headaches have you stepped into?

Do network data collection of the old iron, nine times out of ten have encountered these things: just pick to half of the IP was blocked, the target site loading slow to doubt life, repeated data to make people crazy. Especially for e-commerce price comparison or social media monitoring, often because of theIP reveals true identityGot pulled straight from the site, weeks of hard work down the drain.

Last month, a small brother to do clothing price comparison with me complained that their team manually change IP change to hand cramps, but the result is still recognized by an e-commerce platform. Later changed toDynamic Residential Proxy for ipipgo, set up automatic rotation directly and now steadily crawl tens of thousands of price data per day.

How did proxy IPs become a lifesaver for data collection?

Ordinary crawlers are like going to the mall in overalls and copying prices, proxy IPs are just for you100 different costumes. Specifically there are three major stunts:

Take ipipgo's Beijing node as a chestnut, their server room IP and residential IP mixed scheduling, collection of the popular review of this kind of anti-climbing strict site, the success rate than pure server room IP is higher than a large section.

Three Tips for Choosing the Right Proxy Service Provider

There is a mixed bag of agency services on the market, so keep these three key points in mind:

1. Look at the quality of the IP pool: do not believe those claiming millions of IP, to measure the availability rate. ipipgoSurvival Detection SystemAutomatic IP status update every 5 minutes
2. Than the response speed: it is recommended to apply for a test package first. There is a SEO monitoring friends measured, ipipgo response speed than the previous use of 1.7 seconds faster!
3. Check technical support: encounter problems can quickly find someone to solve the most important, their family 7 × 24 hours online work order response rate of 98%

Hands on with ipipgo for data collection

Here's a real-world Python example of automatically switching proxies when capturing a website:

import requests
from itertools import cycle

 List of proxies from the ipipgo backend
proxies = [
    "http://user:pass@gateway.ipipgo.com:30001",
    "http://user:pass@gateway.ipipgo.com:30002"
]

proxy_pool = cycle(proxies)

for page in range(1, 101)::
    current_proxy = next(proxy_pool).
        current_proxy = next(proxy_pool)
        response = requests.get(
            
            proxies={"http": current_proxy}, timeout=10
            timeout=10
        )
        print(f "Page {page} captured successfully")
    except Exception as e.
        print(f "Capture failed, switching IPs automatically. error message: {str(e)}")

Frequently Asked Questions QA

Q: Is it legal to collect data with a proxy IP?
A: As long as the collection of public data and comply with the website robots agreement is legal. ipipgo all IP have been strictly compliance review, you can rest assured that the use.

Q: How to test the proxy IP effect?
A: It is recommended to test with pay-per-use package first. ipipgo sends 1G flow for new users, which is enough to run through the collection process.

Q: Do I need to maintain my own IP pool?
A: No need at all! ipipgo's background will automatically eliminate invalid IPs and replenish fresh IPs, just leave the maintenance to them.

One final piece of cold knowledge: many professional crawler teams will use both theData Center IP + Residential IPMixed scheduling, so that both the speed can be guaranteed and anti-blocking. ipipgo's mixed packages just to meet this demand, the need for high concurrency friends can try theirEnterprise Customized SolutionsThe