How to Scrape Google Reviews With Python | Web Scraping Tutorial

Want to collect Google reviews at scale without getting blocked? In this tutorial, we’ll show you how to scrape reviews from Google Maps using Python, Playwright, and proxies. It’s perfect for market research, tracking brand reputation, or analyzing customer sentiment.

Try residential proxies for free: https://bit.ly/3GlaZ52

Get the full code here: https://decodo.com/blog/how-to-scrape-google-reviews

👉 Tools used:
– Python
– Playwright
– Decodo Residential Proxies

You’ll learn how to:
✔️ Set up Playwright
✔️ Automate browser actions
✔️ Extract business names, ratings, and full review texts
✔️ Use residential proxies to avoid IP blocks
✔️ Save everything into a clean CSV file

FAQs:

❓ Can I scrape Google reviews without proxies?
You can, but Google will likely block or rate-limit your IP quickly. Proxies, especially residential ones, help you avoid this and ensure stable scraping.

❓How often should I scrape Google reviews?
When scraping Google reviews, use multiple rotating proxies as your primary strategy. This allows you to collect data every 1-2 hours while distributing requests across different IP addresses, helping to avoid detection and rate limiting. Combining proxy rotation with reasonable delays between requests creates an optimal balance between data freshness and avoiding restrictions that often block web scraping efforts.

❓What tools can help me scrape Google reviews efficiently?
To efficiently scrape Google reviews, use specialized proxy providers like Decodo alongside Python libraries to handle dynamic content and parse review data seamlessly.

❓How can I use the data after scraping Google reviews?
After collecting Google reviews, turn the raw data into valuable insights by running sentiment analysis to find common customer opinions. You can also build competitor dashboards using review scores from different locations. When this data is connected to business intelligence tools, it helps visualize trends and spot areas where the business can improve based on honest customer feedback.

Let’s connect on other platforms!
🔹 Linked.in: linkedin.com/company/decodo
🔹 Discord community: discord.gg/gvJhWJPaB4
🔹 GitHub: github.com/decodo

Need some direct support?
🔹 For sales queries, email: sales@decodo.com
🔹 24/7 live customer support: direct.lc.chat/12092754