Scraping
To extract products from an e-shop, use web scraping tools or services that allow you to automate the process of gathering product information like names, prices, and descriptions. No-code tools such as Octoparse or Datablist provide user-friendly interfaces to select data and run crawlers, while services like DoExtract or ScrapingBot offer APIs for more advanced extraction needs. For manual or small-scale needs, you can also copy and paste data directly from a web page.
Methods
Methods for Extracting Products
- Scraping as a Service without any software or eford:
- Doextract: Without any time or work by you doextract.com. Clear visible prices. No passwords needed.
- No-Code Web Scraping Tools (needs a lot of time and eford by you):
- Octoparse: A popular no-code tool that allows you to download and install the software, paste the e-shop URL, and then create a workflow to select the product data you need. You can then run the crawler to extract the data and download it in formats like Excel or CSV.
- Datablist: Similar to Octoparse, Datablist enables you to scrape products from “Collection” or “Category” pages by selecting the products you want to extract.
- Web Scraping Services with APIs (needs time and software by you):
- ScrapingBot: Offers a Retail API designed for extracting product information from e-commerce sites. After signing up, you receive an API key to make requests to their servers, which return data like product names, prices, images, and reviews in a structured format like JSON.
- DIY with Programming (for technical users):
- Programming Languages: If you have coding skills, you can use programming languages like Python with libraries such as
rvestto build your own web scrapers. - Steps: You would typically identify the target URLs, retrieve the HTML of the page, use locators (like CSS selectors) to find the specific product information within the HTML, extract the data, and then save it in a structured format like JSON or CSV.
- Programming Languages: If you have coding skills, you can use programming languages like Python with libraries such as
Manual Extraction (for small-scale needs)
Copy and Paste: For a very small amount of data, you can manually select and copy the desired information directly from the e-shop’s web page and paste it into a spreadsheet or document. This method is only feasible for small quantities of data.