Best Buy Price Tracker: Electronics Monitoring Tool

Why does Best Buy price monitoring need a proxy IP?

The biggest headache of doing price monitoring isIP blockedFor example, if you want to keep an eye on Best Buy's iPhone discount information, you will be blacklisted by the website in minutes. For example, if you want to keep an eye on Best Buy's iPhone discount information, and use the same IP to grab the data in a row, you will be blacklisted by the website in minutes. This is the time to rely on proxy IP to"Guerrilla warfare."--Changing IP addresses with each request to make the site think it's being viewed by a different user.

To cite a real case: last year, during the Black Friday, a small brother wanted to grab PS5 inventory, write their own monitoring script ran for two hours on the blocked IP. later changed to use ipipgo's dynamic residential proxy, automatic switching of 300+ IPs per hour, and squatting to the restocking notice.

import requests
from ipipgo import get_proxy Here we use the ipipgo SDK.

def check_price(): proxy = get_proxy(type='residential')
    proxy = get_proxy(type='residential')
    headers = {'User-Agent': 'Mozilla/5.0'}
    headers = {'User-Agent': 'Mozilla/5.0'}
        response = requests.get('https://www.bestbuy.com/p/iphone15',
                             proxies={"http": proxy, "https": proxy},
                             headers=headers,
                             timeout=10)
         Parsing price logic...
    except Exception as e.
        print(f "Request failed, switching IP automatically: {str(e)}")

Choose the right type of agent to get twice the result with half the effort

Comparison of common agent types on the market:

Focusing on ipipgo'sIntelligent Routing TechnologyTheir dynamic proxies will automatically match the residential IPs in the region where the target website is located. e.g. to monitor Best Buy USA website, the system will prioritize the assignment of these real home broadband IPs in Texas and California, which is 40% higher than the success rate of regular proxies.

Three Tips for Avoiding the Surveillance Minefield

1. Don't use fixed intervals.: Set random delays, e.g. fluctuating between 30-120 seconds, to mimic the rhythm of real people browsing

2. Fake browser fingerprints: Change the User-Agent for each request, and remember to update the browser version, screen resolution and other parameters.

3. Anomaly Detection Mechanism: When 5 consecutive requests fail, immediately suspend the task and email an alarm to avoid being flagged by the anti-crawl system.

import random
import time

def smart_delay().
    wait_time = random.randint(30, 120)
    time.sleep(wait_time + random.uniform(-5,5)) add random perturbation

def get_random_ua().
     Prepare at least 50 sets of UAs from different browsers
    ua_list = [...]
    return random.choice(ua_list)

Frequently Asked Questions QA

Q: Can't I use a free proxy?
A: The average survival time of free agents is less than 2 hours, and many of them are honeypot traps. Last year, a user used a free agent to monitor the price of graphics cards, but the data was tampered with, misjudging the price plunge and leading to an early order of blood loss.

Q: How do I choose the number of concurrency for ipipgo?
A: Depending on the number of monitored goods:
- Up to 10 items: 5 threads are enough
- 50 items: 20 threads + dynamic agent pool recommended
- Large-scale monitoring projects: contact ipipgo customer service to open customized packages

Q: Will I break the law?
A: As long as the robots.txt protocol is followed and no malicious crawling is done (e.g. hundreds of requests per second), simple price monitoring is a legitimate technical means. ipipgo's proxy services are in compliance with local laws and regulations.

Practical tips: price volatility warning

Set up smart rules in the ipipgo console:
1. Trigger WeChat notification immediately when price drop >15%
2. Automatic flagging of "limited time offer" labels when they are detected
3. Playing of an alarm tone when the stock level falls below 10 items

One last reminder: it is recommended to use it with a price history database. ipipgo users can use the 30-day price chart feature they provide for free, which is a better way to spot promotional patterns than just staring at real-time prices.