Extract data from multiple web pages or URLs

The Internet is a data repository for all of the world's information, whether it is text, video, or other types of data. Every web page contains some information. Businesses need access to this information to succeed in the modern world. Unfortunately, the majority of this information is inaccessible. It is uncommon for most websites to allow you to save the data they display to your local storage or to your own website. You can accomplish this using web scraping software.

 

 

Scraping is the process of automatically downloading data from web pages to your computer or database. Using web scraping software, you can crawl several pages on a website and automate the tedious process of manually copying and pasting information from them. In most cases, the data is downloaded as a spreadsheet (tabular). Web scraping is the ideal solution for anybody trying to get a large amount of data in bulk from a website, and it can greatly reduce the time and effort that is required to achieve your data collection objectives.

 

There are a number of ways in which data can be scraped from a variety of URLs using different approaches.

 

Web scrapers can be self-built, but they require a considerable amount of programming expertise. If you wish your Web Scrapper to have more capabilities, you will need even more knowledge. In contrast, pre-built Web scrapers are scrapers that have already been generated and are ready for use. These can also be customized with more advanced features.

 

It seems that Python is in vogue these days. Since it is capable of handling the majority of procedures, it is the most widely used language for web scraping. In addition, it includes a number of libraries designed specifically for web scraping. Python-based Scrapy is a widely used, open-source web crawling framework. This framework is particularly useful for scraping data from websites and APIs. Another Python module ideal for scraping the Web is beautiful soup. This tool creates a parse tree from which data can be extracted from HTML on a website. Using Beautiful Soup, you can navigate, search, and alter these parse trees.

 

 

The use of no-code web scraping solutions allows you to perform web scraping regardless of whether you are an expert in coding or have no prior programming experience. Crawlbase, Octoparse, WebHarvy, Parsehub, and other comparable solutions are available on the market. Even though they are all typically non-programmer friendly, the features, packages, and costs can vary widely.

 

Among the many web scraping programs available, we personally prefer Crawlbase, a free and robust online scraper that can harvest data from any website. Crawlbase is a tool for the extraction of data in a variety of formats. It is possible to scrape URLs, phone numbers, email addresses, product pricing, reviews, meta tag information, and body content. Furthermore, Crawlbase offers free pre-built scraping templates, limitless crawls, API connectivity, cloud-based extraction, and other features.

 

 

Crawlbase scraper API is a popular web scraping API that helps organizations and developers scrape webpages correctly. It manages proxy settings and generates HTML for scraping JavaScript-based websites. As well, it maintains automated browsers and avoids manual human testing such as CAPTCHAs. Users may extract data both locally and on a large scale. In addition, it offers a secure API for searching webpages programmatically, as well as machine learning-based data extraction and filtering. Depending on the user's requirements, scraping can be used to scrape a single website, multiple crawling links on a website, or multiple websites at the same time.

 

The following basic steps will be discussed in order to extract data from multiple web pages using Python:

Websites usually label their pages from 1 to N. It is simple to loop over these pages and extract data since they all follow the same structure. Although the method described above is excellent, what if you need to scrape many sites and do not know their page numbers? You will need to go through each URL one by one and create a script for each one. You might instead make a list of these URLs and loop through them. As an alternative to constructing code for each page, we can extract the titles of those pages by simply iterating the components of the list, i.e., the URLs.

 

By creating a loop of URLs, Crawlbase can scrape many websites; the user will need to specify the appropriate token for the Scraper API. Crawlbase also provides ready-made scrapers for popular e-commerce sites, including Amazon, eBay, and Walmart. Using these pre-configured scrapers, we can collect data from several pages on these sites quickly and easily. Using generic scrapers for many domains, you can scrape a large number of web pages.

The scraper API loop gathers information from various web pages by making use of the "URL list Loop.". The API is compatible with virtually all programming languages. It can be fed a list of URLs in JSON or Csv format.

 

When scraping the Web, you will likely need a lot of information that cannot simply be copied and pasted from the website. Depending on the use case, you can extract data from multiple URLs in one of two ways:

1. There is the possibility of being able to pull a large amount of information from multiple pages of one website at once.

When scraping product listing information from e-commerce sites such as Amazon, it may be necessary to loop over multiple pages of information for one category or query. There is a high probability that these web pages will share the same structure.

You may need to gather information on job openings on the career pages of different companies, for instance, if you are looking for information on job openings. The only thing that these web pages have in common other than the fact that they are all web pages is that they are all linked. Alternately, you may need to aggregate data from multiple websites, such as news websites or financial publications. There is an option to gather all the URLs in advance and process them all at a later time.

 

It's as simple as that! Now you know how to scrape web data from multiple URLs with Crawlbase. I hope you found this article to be helpful, and don't forget to try the technique on other websites as well. If you encounter any problems, do not hesitate to contact Crawlbase's support team. Assistance is always available!