apify-scrape-google-shoppinglisted

# Google Shopping Scraping: Product Listings to Structured JSON Scrape Google Shopping into clean JSON with the Apify Google Shopping API. Give it a product query and optional filters, and get about 40 products per page: title, seller, current price, sale price versus old price, rating, review count, delivery note, thumbnail, and a product link. ## When to use this skill - The user wants to scrape Google Shopping results (to JSON, CSV, a sheet, or a database). - They want product listings and prices for a query, brand, or category as a dataset. - They want Google Shopping data for research, catalog building, or price comparison. - They ask for "google shopping scraping", "google shopping data", or "product data extraction". Not for: recurring price monitoring or deal alerts (use the ecommerce-intelligence skill), deep per-seller offers and specs for one product (use the Google Immersive Product API), or cheap high-volume price checks with fewer fields (use the Google Shopping Lite API). ## What you get (one dataset item per page, about 40 products each) Each dataset item is one page of results, with the products nested in `shopping_results`: - Always present per product: `position`, `title`, `product_id`, `product_link`, `source` (seller name), `price` (display string), `extracted_price` (number), `thumbnail`, `immersive_product_page_token` (hand it to the Google Immersive Product API for full product detail), `multiple_sources` (boolean, true when several sellers list