Scraping Google Shopping search results lets you gather a massive amount of product, pricing, and review data you can use for competitive analysis, dynamic pricing, and more. In this tutorial, I’ll show you how to build a Google Shopping scraper using Python and Requests. No need for headless browsers or complicated workarounds. By the end, you’ll be able to scrape product results from hundreds of search terms and export all of this data into a CSV or JSON file. Get structured Google Shopping data Forget about building and maintaining parsers; let ScraperAPI collect, format, and deliver ..read more

In real estate, having the latest property information is crucial. Whether you’re looking for a home to buy or rent or working in the real estate industry, scraping Idealista.com can provide you with relevant and sufficient data on properties to make better investment decisions. However, Idealista uses many anti-bot mechanisms to prevent you from getting the data programmatically, making it more challenging to collect this data at scale. Unlock Real Estate Data with ScraperAPI Collect property listing from all major real estate platforms including Idealista, Zillow, Realtor, and mor ..read more

Want to scrape Homes.com and don’t know where to start? Then let us get you up to speed! In today’s article, you’ll learn how to: Use Python and BeautifulSoup to extract property listings from Homes.com Export this vital information into a CSV file Use ScraperAPI to effectively bypass Home.com’s anti-scraping measures and perform location-based scraping using its geotargeting feature Get Property Data without Getting Blocked Real estate sites use advanced anti-bot detection, but ScraperAPI bypasses them with a simple API call. Start 7-day free trial Being one of the biggest real es ..read more

Looking to make better investment decisions and gain a competitive advantage in your market? Then, it’s time for you to start scraping Zoopla to gather the necessary information – like new listings, price trends, etc. – to accomplish your goals. With millions of properties listed on their platform, Zoopla is a gold mine for real estate analysts. However, Zoople’s anti-scraping mechanisms, such as CAPTCHA challenges, request rate-limiting, and IP address bans, make it hard to get consistent access to property data at scale. Collect Property Data from All Major Sites Get a consistent flow ..read more

In the fast-paced world of data-driven decision-making, extracting valuable insights from popular platforms like Quora is essential. Whether you’re a business owner, data analyst, or engineer, understanding public opinion and trends on Quora can be transformative in informing your strategies and decisions. This article will explore how to scrape Quora Q&As using Python, Selenium, and ScraperAPI, efficiently collecting data while navigating Quora’s anti-scraping measures. In this tutorial, you’ll learn how to: Use Selenium to automate browser actions and mimic human behavior Navigate Quo ..read more

In the fast-paced world of eCommerce, staying ahead on platforms like Amazon is not just about having a great product; it’s about understanding your competition. In this article, we’ll walk you through the entire Amazon competitive analysis process, from scraping product data to cleaning and analyzing the resulting dataset, turning raw data into actionable intelligence. To simplify the process, we’ll: Use ScraperAPI’s Amazon Product endpoint to turn product pages into structured JSON data Clean the resulting dataset using Pandas Create insightful visualizations with Excel Scrape Amazon ..read more

Using cURL with a proxy is vital for any web scraping project, especially if you want to do any constant data collection. As your requests increase, your target site will block your machine’s IP address—sometimes even at the first attempt—making it impossible for it to access the page temporarily or permanently. Unlock Public Web Data at Scale With a simple API call, ScraperAPI will handle IP and header rotation, making your requests indistinguishable from a human-user. Start 7-day free trial In this tutorial, we’ll show you how to use proxies in cURL so you can get the data you want ..read more

Want to scrape G2 reviews without getting blocked? Then you’re in the right place! As a trusted source of information, G2 is a go-to resource for businesses to research and evaluate genuine user reviews and ratings for software products and services, and to manage their software stacks. However, G2 has implemented robust security measures, including heavy use of CAPTCHA challenges, making it highly challenging to scrape data from the site. Collect Customer Feedback from All Major Review Sites Review sites use heavy anti-scraping mechanisms. Bypass them with a simple API call. Start 7-d ..read more

Want to scrape G2 reviews without getting blocked? Then you’re in the right place! As a trusted source of information, G2 is a go-to resource for businesses to research and evaluate genuine user reviews and ratings for software products and services, and to manage their software stacks. However, G2 has implemented robust security measures, including heavy use of CAPTCHA challenges, making it highly challenging to scrape data from the site. Collect Customer Feedback from All Major Review Sites Review sites use heavy anti-scraping mechanisms. Bypass them with a simple API call. Start 7-d ..read more

Scraping Trustpilot is one of the most efficient ways of collecting customer feedback and online reviews at scale, allowing you to understand the state of the market, find opportunities to outperform your competitors and refine your marketing and business strategies. In this article, we will explore using Python and BeautifulSoup to extract Trustpilot reviews, and ScraperAPI to bypass Trustpilot’s anti-scraping measures, ensuring seamless data collection. Whether it’s for market analysis, product improvement, or competitive research, this article is your gateway to leveraging Trustpilot revi ..read more