Web Scraping Tutorials

LEARN HOW TO USE WEB SCRAPING TO ENHANCE PRODUCTIVITY AND AUTOMATION

We provide many step-by-step tutorials with source code for web scraping, web crawling, data extraction, headless browsers, etc.

Our web scraping tutorials are usually written in Python using libraries such as LXML, Beautiful Soup, Selectorlib and occasionally in Node.js.

The full source code is also available to download in most cases or available to be easily cloned using Git.

We also provide various in-depth articles about Web Scraping tips, techniques and the latest technologies which include the latest anti-bot technologies, methods used to safely and responsibly gather publicly available data from the Internet.

The community that has coalesced around these tutorials and their comments help anyone from a beginner hobbyist person to an advanced programmer solve some of the issues they face with web scraping.

These tutorials are frequently linked to as StackOverflow solutions and discussed on Reddit.

Please feel free to read and participate in the discussions with your comments.

eCommerce Data

How to Monitor Competitor PPC data on Amazon

Learn how to monitor competitor PPC data and sponsored products from Amazon using the Amazon Search Results Crawler in the ScrapeHero Cloud.

How to Scrape Target.com Without Coding

Learn how to scrape target.com. Scrape target for product data such as -Rank, URL , Name, Brand, Seller, Sale Price, Regular Price, Stock info and more

How To Scrape Amazon Product Data and Prices using Python 3

Learn to scrape Amazon using Python. Extract Amzaon product details like Name, Price, ASIN and more by scraping Amazon.

Financial Data

How to scrape Yahoo Finance and extract stock market data using Python & LXML

Yahoo Finance is a good source for extracting financial data. Check out this web scraping tutorial and learn how to extract the public summary of companies from Yahoo Finance using Python 3 and LXML.

How to scrape Nasdaq and extract Stock Market data using Python and LXML

Learn how to scrape financial and stock market data from Nasdaq.com, using Python and LXML in this web scraping tutorial. We will show you how to extract the key stock data such as best bid, market cap, earnings per share and more of a company using its ticker symbol.

Beginners Guides

Beginners guide to Web Scraping: Part 2 – Scrape Reddit using Python and BeautifulSoup

Learn how to build a scraper for web scraping Reddit Top Links using Python and BeautifulSoup. How to inspect the web page before scraping.

Web Scraping Tutorial for Beginners – Part 3 – Navigating and Extracting Data

Learn how to build a web scraper to scrape Reddit. Navigate and extract comment data from Reddit using Python 3 and BeautifulSoup.

What is Web Scraping: How to Collect Data from Websites

Part 1 of our Web Scraping Tutorials for Beginners. In this part, we talk about Web Scraping, some history and go deep into parts of a web scraper. We also take a look at the programming languages to use for building scrapers. Part 2 is on Building a web scraper to extract data from Reddit top posts.

Tips & Techniques

How to fake and rotate User Agents using Python 3

When scraping many pages from a website, using the same user-agent consistently leads to the detection of a scraper. A way to bypass that detection is by faking your user agent and changing it with every request you make to a website. In this tutorial, we will show you how to fake user agents, and randomize them to prevent getting blocked while scraping websites.

How To Rotate Proxies and change IP Addresses using Python 3

When scraping many pages from a website, using the same IP addresses will lead to getting blocked. A way to avoid this is by rotating IP addresses that can prevent your scrapers from being disrupted. In this tutorial, we will show you how to rotate IP addresses to prevent getting blocked while scraping.

How to Scrape Websites Without Getting Blocked

Anti scraping tools lead to scrapers performing web scraping blocked. We provided web scraping best practices to bypass anti scraping

All Tutorials

A guide to web scraping using BeautifulSoup

Learn how to parse web pages and extract information by using BeautifulSoup.

How to optimize your Playwright web scrapers using code profiling

Learn how to optimize your Playwright web scrapers using code profiling and tackle the issue of long rendering in web scraping.

How to block specific resources in Playwright

One of the biggest disadvantages of web scraping with browsers is that they are expensive to run on a large scale due to the amount of computing and network bandwidth required. The biggest reason for the increase in the network bandwidth is the additional requests that are fetched for rendering a web page. Unlike a […]

How to scrape data from HTML tables with Python Pandas

Web scraping with python pandas using the read_html function with advanced examples covering all the different arguments of the method.

How to make web scraping with browsers faster and cost effective

A collection of techniques to make web scraping using browsers faster and cost effective

How to build web scrapers quickly using Playwright Codegen

How to build and run a web scraping by generating code, from your interactions on a browser – using Playwright Codegen.