Scraping Product Details from Google Shopping with Scrapeless

****# Scraping Product Details from Google Shopping with Scrapeless
28-Feb-2025
In today's fiercely competitive global business environment, web scraping technology has become the core driving force for e-commerce companies and retailers to maintain their market competitiveness. By collecting accurate public data from thousands of target data sources around the world through intelligent agent networks, companies can build dynamic pricing models, optimize inventory management, gain insights into consumer behavior trends, and ultimately provide end users with the most competitive product price system.

This guide will systematically demonstrate how to legally obtain public product data on the Google Shopping platform through professional tools. Whether you are a technical team looking to build your own data pipeline or a business decision maker seeking market intelligence support, this article will provide you with an action framework that has both practical and strategic value.

What is Google Shopping?

Google Shopping (formerly known as Google Products Search, Google Products, and Froogle) is a shopping platform where users can browse, compare, and purchase products from a wide range of paid suppliers. It not only allows consumers to easily select their favorite products from a large number of brands, but also provides retailers with an efficient online promotion channel. When users click on a product link, they will be directly directed to the supplier's website to complete the purchase, making Google Shopping a powerful tool for companies to increase product exposure and promote sales.

Overview of Google Shopping results page structure

The data obtained when browsing Google Shopping depends on three key input parameters: search, product and price. Here is a brief analysis of each parameter:

• Search: Google Shopping's product list contains detailed information about each product, such as ID, title, description, price and inventory status.
• Product: Displays detailed information about a single product, including sales at other retailers and product prices.
• Price: Lists product prices from all retailers and additional information, such as shipping details, total cost and retailer name.

Search results page

The search results page of Google Shopping displays all products related to the user's query. For example, when searching for "padel racket", the page will display the following elements:

1. Search bar: allows users to enter keywords to search for products.
2. Product list: displays detailed information of all products in the search results.
3. Filters: allows users to filter products by price range, color, style, etc.
   Sorting options: supports sorting results by attributes such as ascending/descending price, popularity, etc.

Product page

After clicking on a product from the search results page, users are directed to the product page, which contains the following:

Product Name: The name of the product.
Product Highlights: A quick overview of the product's core features.
Product Details: A detailed description of the product.
Pricing Information: Prices offered by different retailers.
Product Reviews: Displays product ratings and customer reviews.
Price Range: Displays the lowest and highest selling prices from different sellers.
General Specifications: Provides basic parameters of the product.

The Pricing page aggregates product prices from different retailers and displays information such as the retailer's reputation and whether it offers the Google Guarantee. This page contains the following:

Product Name: The name of the product you searched for.
Rating: The product's overall rating and number of reviews.
Prices by Store: Lists retailers' offers, deals, and purchase links.
Filters: Filters that can be applied to the retailer list.
Is it legal to scrape Google Shopping results?
Scraping data is considered legal in some cases:

Fair use: In some jurisdictions, fair use allows limited data scraping for purposes such as research, education, or non-commercial use.
Public data: If the data you want to scrape is public (such as product pricing or descriptions on Google Shopping), then scraping this data may seem fine.
How to Scrape Google Shopping Results with Python [Complete Guide]
In this comprehensive guide, we'll walk you through the process of scraping Google Shopping results using Python. Whether you're collecting product details, pricing, or reviews, this tutorial will provide you with step-by-step instructions to set up your scraping environment and start collecting data efficiently. We'll leverage the powerful Scrapeless Google Shopping API to simplify the process so you can focus on building your project without worrying about complex scraping logic or legal issues.

[Scrapeless API Technical advantages]

Built-in anti-crawling engine (supports Cloudflare/recaptcha v3)
Automatic processing of dynamically rendered content
Provides standardized data fields for quick integration and analysis
Efficient IP proxy pool to ensure high concurrent crawling and avoid IP blocking
Real-time data updates to ensure the latest Google Shopping information is captured
Global proxy network, supports multi-regional data crawling, and ensures coverage of product information in different markets
High scalability, supports large-scale data crawling needs, suitable for enterprise-level applications
Step 1: Set up Python and install the required libraries
First, we need to build a data crawling environment and prepare the following tools:

Python: This is the core software for running Python. You can download the version we need from the official website link, as shown in the figure below, but it is recommended not to download the latest version. You can download 1-2 versions before the latest version.