Amazon data collection: the Amazon data agent collection system

First, why do Amazon data collection have to use proxy IP?

Anyone who has done Amazon data crawling knows that the biggest headache is theAccount blockedThis is the first time I've seen this. For example, if you use the same IP address to frequently check prices and pick reviews, Amazon's wind control system will label you as a "robot" in minutes. At this time, the proxy IP is like changing a "vest" for each operation, so that the system thinks it is a different user in the operation.

Take a real case: there is a price comparison software team, just started to use their own office network to capture data, the results of the20 accounts were blocked in three days. Later changed to dynamic residential proxy IP, survival rate directly soared to 90% or more. It is recommended to useExclusive proxy service for ipipgoTheir IP pool is updated 8 million+ per day, which is especially suitable for scenarios that require long-term stable collection.

Second, what are the doorways to choose a proxy IP?

There are all sorts of proxy IPs on the market, so keep these three core metrics in mind:

Here's the kicker.IP purityThe first thing you need to do is to get the IP address of the IP address you want to use. ipipgo has an exclusive technology that automatically detects whether the IP address is in the Amazon blacklist and replaces it immediately when it is found to be abnormal, a feature that has been measured to reduce the probability of 70% being blocked.

Third, hand to build the collection system

Here's a Python example that uses the requests library + proxy IP for basic collection:

import requests
from itertools import cycle

 List of proxies from ipipgo
proxies = [
    "http://user:pass@gateway.ipipgo.com:8000",
    "http://user:pass@gateway.ipipgo.com:8001".
    ... More proxies
]

proxy_pool = cycle(proxies)

def get_product_data(asin):
    for _ in range(3): fail retry 3 times
        current_proxy = next(proxy_pool)
        current_proxy = next(proxy_pool)
            current_proxy = next(proxy_pool) try: resp = requests.get(
                f "https://www.amazon.com/dp/{asin}",
                proxies={"http": current_proxy}, timeout=10
                timeout=10
            )
            if resp.status_code == 200.
                return parse_data(resp.text)
        except Exception as e.
            print(f "Proxy {current_proxy} failed, switching automatically.")
    return None

Watch out for the three pits:
1. Request headers should be randomly generated, especially User-Agent
2. Frequency of visits limited to 3-5 per minute
3. Immediate 30-minute suspension in case of CAPTCHA

IV. Clearance of QA FAQs

Q: What should I do if I keep encountering CAPTCHA when collecting?
A: First check the IP quality, it is recommended to change to ipipgo'sResidential Agents. If it still appears, put a 2 second random delay in the code, don't use a fixed interval.

Q: What should I do if I can't catch all the data?
A: 80% of the IP is restricted. Try multi-threading with different proxy IPs, such as opening 5 threads, each thread with a separate IP, so that the efficiency can be doubled.

Q: What should I do if my proxy IP suddenly fails?
A: Election of supporton-line replacementservice providers, like ipipgo's API can extract new IPs at any time. code to add an exception retry mechanism, it is recommended to use the retrying library to automatically retry.

V. Key points for long-term operation

Seen too many teams with smooth pre-collection and resultsData quality falls off a cliff after three months. Here's a secret to share: update 20%'s proxy IPs weekly while monitoring these metrics:

• Average daily usage of a single IP <50 times
• IP geolocation matching for target sites (e.g., US West IP for collecting US sites)
• Failed request rate <5%

Lastly, anecdotally, ipipgo recently came out with theAmazon-only channel, targeted and optimized IP rotation strategy. New user registration to send 1G flow, enough to test half a month of collection needs. Their customer service response is also fast, the last time we had a problem at three o'clock in the morning, actually seconds back to the work order, this point is really conscience.