Web scraping Google Images with Python and simple API (+ export to CSV)

In today’s tutorial, we will scrape Google Images search results with Python and easy-to-use API by SerpApi. We are going to learn how to use SerpApi API to scrape image search results efficiently and effortlessly. 🚀 ⚠️ Important update: We now use the `sur` parameter instead of `il` to filter the image license. Please refer to our docs: https://serpapi.com/google-images-api#api-examples-results-for-coffee-with-tbs-il-cl-creative-commons-licenses Relevant to the video at min 2:30 📖 What You Will Learn: - How to set up and use the SerpApi API for scraping Google Images. - Strategies for paginating through Google Images search results to ensure you get all the data you need. - How to export the scraped image URLs and details to a CSV file for easy access and analysis. 🔗 Resources and Links: SerpApi Google Images API Documentation: https://serpapi.com/images-results Sign Up for SerpApi: serpapi.com?ref=youtube_video 🛠 Tools and Technologies Used: Python-SerpApi lib: https://github.com/serpapi/serpapi-python Google Images API: https://serpapi.com/images-results Playlist scraping search engines using Python: https://www.youtube.com/watch?v=naigldB0nTY&list=PLGt0Yb3JKV13MCbfKJHzhcawj1Be-aoeD ⏱ Timestamps: 0:00 - Introduction 0:11 - Preparation 1:00 - Image Search Method 1:40 - Image search pagination 2:29 - Filter Google Image results 2:56 - Export Image data to CSV format If you need to collect many images for research purposes or for an AI data model, you may find this video helpful.