Step 1: Select “Task Templates” from the home screen and pick a template. Web scraping with pre-built scraping templates can be done in 3 simple steps:
#Collect url download#
Download Octoparse and see if there’s a template for your target website (new templates are consistently being created and published). Octoparse’s pre-built scraping templates are neat for those who prefer to skip the learning curve and extract data right away from popular websites like Amazon, Instagram, Twitter, YouTube, Booking, TripAdvisor, Yellowpage, Walmart, and many more. Scrape Data from Multiple URLs using Octoparse Template Mode Now, let’s take a closer look at how it works for scraping from multiple URLs.
#Collect url free#
On top of that, Octoparse offers free pre-built scraping templates, unlimited crawls, API integration, cloud-based extraction, and more. It can scrape URLs, phones, email addresses, product pricing, and reviews, as well as meta tag information, and body text. Octoparse is specifically designed for scalable data extraction of various data types. Out of the many web scraping tools in the market, we personally recommend Octoparse – a free and powerful web scraper that can extract data from any website. To see which one best fits your business and budget, check out the top 30 web scraping tools in this post. While they are all generally non-coder-friendly, the actual packages, features, and prices can still be quite different. There are many similar tools in the market like Mozenda, Octoparse, Web Harvy, Parsehub, etc. If you are not proficient with coding or have no experience with programming at all, you can still get web scraping done easily with the use of no-code web scraping tools. Writing codes gives your more flexibility and can handle more complicated situations. But scripting can be intimidating for non-coders and also be a heavy workload even for developers when dealing with many different web pages. In another word, i f you are proficient in programming languages, you can accomplish it by writing codes. If you do have a technical background and good programming knowledge, you can take advantage of BeautifulSoup, Scrapy, and Selenium-like packages available in Python to build your own multi-URL Scraper. There are different approaches for scraping data from multiple URLs. You may pre-gather all the URLs for more data processing at a later time. Or another example is when you need to aggregate data from multiple websites like news or financial publications. These pages do not share anything in common other than they are all web pages. You may want to pull some data from completely different websites.Ī quick example would be when you may need to gather job opening information from different companies’ career pages. And very likely these web pages share the same page structure.Ģ. You may want to pull a large amount of information that extends across multiple pages of a particular website.įor example, when you scrape product listings information from e-commerce like Amazon, you may need to loop over multiple pages under one category or query. Depending on your actual use case, extracting data from multiple URLs can fall into one of two situations below:ġ. If you do opt for web scraping, chances are you need a lot of data that cannot be copied and pasted from the website easily. For anyone that is looking to obtain a relatively large amount of information from any particular website in bulk, web scraping is the go-to solution and can hugely reduce the time and effort it takes to fulfill your data acquisition needs. Web scraping is a technique for extracting web data from one or more websites using computer programs like scraping bots.
Scrape Data from Multiple URLs using Octoparse Template Mode.
0 kommentar(er)
