Keyword ranking monitoring is a crucial part of SEO optimization. However, frequent access to search engines like Google can easily trigger blocking mechanisms, leading to IP restrictions and inaccessible pages, severely impacting the stability and accuracy of data crawling. Search engines block numerous repetitive requests to prevent crawler activity, which is the fundamental reason why keyword monitoring is difficult to operate efficiently.

Introducing proxy IPs solves these problems. Proxy IPs not only help us bypass access restrictions but also simulate the search behavior of users in different regions, enabling global ranking tracking. High-quality residential and dynamic proxies, in particular, possess real IP attributes, stable connections, and high anonymity, making them ideal for high-frequency, multi-keyword, and multi-region monitoring scenarios. They are core tools for improving SEO data quality and monitoring efficiency.

How to Choose the Right Proxy Type for Your Needs

If you need to continuously and stably monitor the long-term ranking trends of multiple keywords, static residential proxies are undoubtedly the best solution. They originate from real home networks, possess highly reliable IP attributes, and effectively reduce the risk of being banned.

In scenarios that require frequent IP changes, monitoring multiple accounts, or capturing a large number of keywords in a short period of time, dynamic residential proxies are more flexible and efficient, making them particularly suitable for short-cycle, high-concurrency monitoring tasks.

kookeey ‘s static proxy service covers 41 countries/regions, boasting over 47 million high-quality IPs. It can accurately target markets and effectively support global keyword ranking crawling. Its dynamic proxy service supports business-level quality filtering and 24-hour IP rotation, meeting diverse monitoring scenarios. For users looking to improve SEO data stability and crawling efficiency, it is a highly reliable choice.

How to Scrape Google Keyword Rankings with Python

import requests

from bs4 import BeautifulSoup

def get_google_rank(keyword, proxy_ip):

url = "https://www.google.com/search?q={keyword}"

proxies = {

"http": f"http://{proxy_ip}",

"https": f"http://{proxy_ip}"

}

headers = {"User-Agent": "Mozilla/5.0"}

response = requests.get(url, headers=headers, proxies=proxies)

soup = BeautifulSoup(response.text, 'html.parser')

results = soup.select("h3")

return [r.text for r in results[:5]]

print(get_google_rank("residential proxy", "123.45.67.89:8000"))

In the code above, we used a specified proxy IP to access the Google search page and extracted the titles of the top 5 results. By simply replacing the addresses in the IP pool, you can batch-fetch rankings for multiple keywords.

Real Configuration Workflow: From Proxy Purchase to Deployment

1. Register a kookeey account and choose a suitable package (static residential proxy recommended).
2. Generate API keys in the console and obtain a list of proxy IPs.

• Integrate these IPs as request proxies into the crawler script: write the proxy information into the request configuration, and set the real User-Agent for each request. If using an IP pool, a random IP can be selected before each request to reduce the access frequency of a single IP.
• Configure request intervals and error retry mechanisms to avoid blocking: Avoid making continuous high-speed requests to search engine pages. It is recommended to have a 2-5 second interval between each request and add timeout, retry, and failure IP removal logic to prevent individual abnormal IPs from affecting the overall task.
• Deploy scripts to automate ranking monitoring

In Summary: Who is Suitable to Use a Proxy for Keyword Monitoring?

If you are an SEO professional, independent website operator, cross-border e-commerce analyst, or need to monitor overseas keyword performance on a large scale, then proxy IPs are undoubtedly the most crucial link in your data collection process. Using kookeey allows you to grasp search ranking data faster, more reliably, and more accurately.