Scrape Google Shopping, Maps, and Search Results Data for Insights (Computers - Information Technologies)

Item ID 133410152 in Category: Computers - Information Technologies

Scrape Google Shopping, Maps, and Search Results Data for Insights
How to Scrape Google Shopping Data Understand Google Shopping’s Structure: Google Shopping displays product information including names, prices, ratings, and store links. Familiarize yourself with the page structure to identify the data you need. Choose the Right Tools: Select web scraping tools that can handle dynamic content. Popular tools include: • BeautifulSoup (Python library) • Scrapy (Python framework) • Selenium (for dynamic content) Develop Your Scraper: Create a Google Shopping Scraper that can navigate Google Shopping pages, extract product details, and handle pagination to access multiple pages of results. Use HTTP requests to extract Google Shopping Data and parse HTML to extract relevant information. Handle Anti-Scraping Measures: Google employs various anti-scraping techniques, including CAPTCHAs and IP blocking. Use proxies and rotating IP addresses to mitigate these issues. Store and Analyze Data: Save the scraped data in a structured format like CSV or a database. Analyze the data to uncover trends and insights.
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Target State: Texas Target City : Houston, TX, USA Last Update : Feb 25, 2025 6:59 AM Number of Views: 18	Item Owner : Realdataapi Contact Email: Contact Phone: 4242264664

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2025-03-06 (0.446 sec)