Etsy Shop Detail Crawler ## Overview The Etsy Shop Detail Crawler is a powerful web scraping tool designed to extract detailed product information from Etsy shops. With this tool, users can gather essential data about products, including titles, prices, ratings, and shipping policies. ## Input ### Parameters - shop_name (string): The name of the Etsy shop you want to scrape. ## Output The crawler returns a structured list of product details for the specified shop. Each product object includes the following fields: ### Product Details Example json { "title": "Stained glass pendant necklace Paisley (1463)", "price": "36.00", "currency_code": "USD", "url": "https://www.etsy.com/listing/674576378/stained-glass-pendant-necklace-paisley", "shop_average_rating": "4.9149", "shop_total_rating_count": "4570", "origin_country_id": 220, "min_processing_days": 3, "max_processing_days": 5, "origin_postal_code": "150103", "are_returns_accepted": true, "are_exchanges_accepted": true, "return_deadline_in_days": 30 } ### Field Descriptions - title (string): The name of the product as listed in the Etsy shop. - price (string): The price of the product, formatted as a string. - currency_code (string): The currency in which the product is priced (e.g., "USD"). - url (string): The direct link to the product listing on Etsy. - shop_average_rating (string): The average rating of the shop based on customer reviews. - shop_total_rating_count (integer): The total number of ratings received by the shop. - origin_country_id (integer): The ID of the country from which the product ships. - min_processing_days (integer): The minimum number of processing days before shipment. - max_processing_days (integer): The maximum number of processing days before shipment. - origin_postal_code (string): The postal code of the product’s origin. - are_returns_accepted (boolean): Indicates if returns are accepted for the product. - are_exchanges_accepted (boolean): Indicates if exchanges are accepted for the product. - return_deadline_in_days (integer): The deadline in days for returning the product. ## Why scrape Etsy shop data? - Market Research: Understand product offerings and pricing strategies within a niche. - Competitor Analysis: Monitor competitors’ products, pricing, and customer ratings to identify strengths and weaknesses. - Trend Analysis: Track popular items and emerging trends to inform business decisions. - Customer Insights: Gain insights into customer preferences and feedback through ratings and reviews. ## How to Use the Etsy Shop Detail Crawler Using the Etsy Shop Detail Crawler is straightforward, even if you're new to web scraping. Follow these steps: 1. Create an Apify Account: Sign up for a free account using your email. 2. Open the Etsy Shop Detail Crawler: Navigate to the tool within the Apify platform. 3. Input Shop Name: Enter the name of the Etsy shop you want to scrape. 4. Start the Crawler: Click the "Save & Start" button to begin the extraction process. 5. Download Your Data: Once the scraping is complete, download your data in JSON, CSV, or Excel format for use in apps, spreadsheets, or reports. ## Example ### Input json { "shop_name": "example-shop" } ### Output json [ { "title": "Stained glass pendant necklace Paisley (1463)", "price": "36.00", "currency_code": "USD", "url": "https://www.etsy.com/listing/674576378/stained-glass-pendant-necklace-paisley", "shop_average_rating": "4.9149", "shop_total_rating_count": "4570", "origin_country_id": 220, "min_processing_days": 3, "max_processing_days": 5, "origin_postal_code": "150103", "are_returns_accepted": true, "are_exchanges_accepted": true, "return_deadline_in_days": 30 } ] ### check our other Etsy scraper Etsy Review Scraper https://apify.com/getdataforme/etsy-review-scraper Etsy seller bulk review scraper: https://apify.com/getdataforme/etsy-sellers-bulk-reviews-pro ## Conclusion The Etsy Shop Detail Crawler is an essential tool for anyone looking to analyze Etsy shops and their product offerings. For further guidance, tutorials, or support, refer to the Apify documentation or reach out to the support team.