53 Stories To Learn About Data Scraping

Let's learn about Data Scraping via these 53 free stories. They are ordered by most time reading created on HackerNoon. Visit the /Learn Repo to find the most read stories about any technology.

1. How I Successfully "Reverse-Engineered" ChatGPT to Create an Unofficial API Wrapper

Scraping ChatGPT with Python

2. How POST Requests with Python Make Web Scraping Easier

To scrape a website, it’s common to send GET requests, but it's useful to know how to send data. In this article, we'll see how to start with POST requests.

3. AutoScraper Introduction: Fast and Light Automatic Web Scraper for Python

In the last few years, web scraping has been one of my day to day and frequently needed tasks. I was wondering if I can make it smart and automatic to save lots of time. So I made AutoScraper!

4. How To Scrape Google With Python

Ever since Google Web Search API deprecation in 2011, I've been searching for an alternative. I need a way to get links from Google search into my Python script. So I made my own, and here is a quick guide on scraping Google searches with requests and Beautiful Soup.

5. My Journey Building a Scraper with Ruby

Last week I finished my Ruby curriculum at Microverse. So I was ready to build my Capstone Project. Which is a solo project at the end of each of the Microverse technical curriculum sections.

6. How to Scrape NLP Datasets From Youtube

Too lazy to scrape nlp data yourself? In this post, I’ll show you a quick way to scrape NLP datasets using Youtube and Python.

7. How to Scrape Data From Any Website With JavaScript

Learn how to scrape the web using scripts written in node.js to automate scraping data off of the website and using it for whatever purpose.

8. Playwright Vs Selenium: Comparing the Two

A brief comparison between Selenium and Playwright from a web scraping perspective. Which one is the most convenient to use?

9. How Web Scraping Helps Businesses Outperform Their Competition

It’s safe to say that the amount of data available on the internet nowadays is practically limitless, with much of it no more than a few clicks away. However, gaining access to the information you need sometimes involves a lot of time, money, and effort.

10. Web Scraping Using Node.js

While there are a few different libraries for scraping the web with Node.js, in this tutorial, i'll be using the puppeteer library.

11. Web Scraping con Python: Guía Paso a Paso

La necesidad de extraer datos de sitios web está aumentando. Cuando realizamos proyectos relacionados con datos, como el monitoreo de precios, análisis de negocios o agregador de noticias, siempre tendremos que registrar los datos de los sitios web. Sin embargo, copiar y pegar datos línea por línea ha quedado desactualizado. En este artículo, le enseñaremos cómo convertirse en un "experto" en la extracción de datos de sitios web, que consiste en hacer web scraping con python.

12. America's Secret Pager Giant

Early January 2022, I spontaneously bought a pager. I looked into the US pager market, and to my surprise...

13. 8 Browser Extensions for Scraping Google Maps like a Pro

These extensions for scraping Google maps can be used for a number of purposes in various situations that can be either data collection or market research.

14. How Do I Build a LinkedIn Scraper For Free?

Check out this step-by-step guide on how to build your own LinkedIn scraper for free!

15. What is Web Data Collection?

Everything you need to know to automate, optimize and streamline the data collection process in your organization!

16. How To Scrape Amazon, Yelp and GitHub Profiles in 30 Seconds

The most talented developers in the world can be found on GitHub. What if there was an easy, fast and free way to find, rank and recruit them? I'll show you exactly how to to this in less than a minute using free tools and a process that I've hacked together to vet top tech talent at BizPayO.

17. Web Scraping con Python: Guía Paso a Paso

La necesidad de extraer datos de sitios web está aumentando. Cuando realizamos proyectos relacionados con datos, como el monitoreo de precios, análisis de negocios o agregador de noticias, siempre tendremos que registrar los datos de los sitios web. Sin embargo, copiar y pegar datos línea por línea ha quedado desactualizado. En este artículo, le enseñaremos cómo convertirse en un "experto" en la extracción de datos de sitios web, que consiste en hacer web scraping con python.

18. Web Crawling vs Scraping: What's the Difference Between Crawlers and Scrapers?

Learn the fundamental distinctions between web crawling and web scraping, and determine which one is right for you.

19. Where Do I Find the Right Social Media Marketing Data?

As a marketer, you probably know that social media marketing is part art, part science.

20. Scraping Google Search Console Backlinks

Learn how to emulate a normal user request and scrape Google Search Console data using Python and Beautiful Soup.

21. How to Use Web Scraping to Empower Marketing Decisions

Learn how to leverage web scraping in marketing. In this article, we unpack use cases and tips for getting started.

22. Scraping Glassdoor Job Data

Glassdoor is one of the biggest job markets in the world but can be hard to scrape. In this article, we'll legally extract job data with Python & Beautiful Soup

23. Scraping Tweet Replies with Python and Tweepy Twitter API [A Step-by-Step Guide]

A Quick Method To Extract Tweets and Replies For Free

24. Las 15 preguntas más frecuentes sobre Web Scraping

Previously published at https://www.octoparse.es/blog/15-preguntas-frecuentes-sobre-web-scraping

25. A Step-by-Step Guide to Building a Football Data Scraper

Scraping football data (soccer in the US) is a great way to build comprehensive datasets to help create stats dashboards. Check out our football data scraper!

26. An Intro to No-Code Web Scraping

Web scraping has broken the barriers of programming and can now be done in a much simpler and easier manner without using a single line of code.

27. How is Web Crawling Used in Data Science

No-Code tools for collecting data for your Data Science project

28. How to Build a Web Crawler from Scratch

How often have you wanted a piece of information and have turned to Google for a quick answer? Every piece of information that we need in our daily lives can be obtained from the internet. You can extract data from the web and use it to make the most effective business decisions. This makes web scraping and crawling a powerful tool. If you want to programmatically capture specific information from a website for further processing, you need to either build or use a web scraper or a web crawler. We aim to help you build a web crawler for your own customized use.

29. How to Develop a Price Comparison Tool in Python

Online Shopping for various commodities is no more a luxury but has rather become a necessity now. Getting your desired product on your doorstep has made it easier for consumers to shop effortlessly. As a result, several niche e-commerce or generic shopping sites pop up every year. This trend is not limited to some specific region rather it’s a global phenomenon now, as more and more people are preferring online shopping over visiting outlets due to traffic congestions and ease of purchasing. This is why it’s predicted that by 2021, overall 15.5% of sales will be generated via online websites.

30. PHP Web Scraping Using Goutte

When you talk about web scraping, PHP is the last thing most people think about.

31. How To Monitor a Forum for Keywords Using Python and AWS Lambda

While building ScrapingBee I'm always checking different forums everyday to help people about web scraping related questions and engage with the community.

32. The Evolution of Big Data And Web Scraping

As the CEO of a proxy service and data scraping solutions provider, I understand completely why global data breaches that appear on news headlines at times have given web scraping a terrible reputation and why so many people feel cynical about Big Data these days.

33. How To Create A Slick iOS Widget In JavaScript

With a Scriptable app, it’s possible to create a native iOS widget even with basic JavaScript knowledge.

34. Scraping Amazon using Puppeteer and Browserless

An easy tutorial showcasing the power of puppeteer and browserless. Scrape Amazon.com to gather prices of specific items automatically!

35. 3 Mejores Formas de Crawl Datos desde Website

La necesidad de crawling datos web ha aumentado en los últimos años. Los datos crawled se pueden usar para evaluación o predicción en diferentes campos. Aquí, me gustaría hablar sobre 3 métodos que podemos adoptar para scrape datos desde un sitio web.

36. An Intro to Web Scraping: What it is and How to Start

A quick introduction to web scraping, what it is, how it works, some pros and cons, and a few tools you can use to approach it

37. Data Scraping in Node.js 101

How to gather data without those pesky databases.

38. How to Scrape Bestbuy Products with Scrapezone SDK

Welcome to the new way of scraping the web. In the following guide, we will scrape BestBuy product pages, without writing any parsers, using one simple library: Scrapezone SDK.

39. A Quick Primer on Data Scraping

Suppose you want to get large amounts of information from a website as quickly as possible. How can this be done?

40. A Guide to Web Scraping With JavaScript and Node.js

With the massive increase in the volume of data on the Internet, this technique is becoming increasingly beneficial in retrieving information from websites and applying them for various use cases. Typically, web data extraction involves making a request to the given web page, accessing its HTML code, and parsing that code to harvest some information. Since JavaScript is excellent at manipulating the DOM (Document Object Model) inside a web browser, creating data extraction scripts in Node.js can be extremely versatile. Hence, this tutorial focuses on javascript web scraping.

41. How to Extract Knowledge from Wikipedia, Data Science Style

As Data Scientists, people tend to think what they do is developing and experimenting with sophisticated and complicated algorithms, and produce state of the art results. This is largely true. It is what a data scientist is mostly proud of and the most innovative and rewarding part. But what people usually don’t see is the sweat they go through to gather, process, and massage the data that leads to the great results. That’s why you can see SQL appears on most of the data scientist position requirements.

42. How to Scrape a Medium Publication: A Python Tutorial for Beginners

A while ago I was trying to perform an analysis of a Medium publication for a personal project. But getting the data was a problem – scraping only the publication’s home page does not guarantee that you get all the data you want.

43. Scraping Data With Selenium: Upwork Series #2

Hi Devs!

44. How To Scrape Amazon Using Python Scrapy Library [Tutorial]

Scrapy is an application framework for crawling web sites and extracting structured/unstructured data which can be used for a wide range of applications such as data mining, information processing or historical archival.As we all know, this is the age of “Data”. Data is everywhere, and every organisation wants to work with Data and take its business to a higher level. In this scenario Scrapy plays a vital role to provide Data to these organisations so that they can use it in wide range of applications. Scrapy is not only able to scrap data from websites, but it is able to scrap data from web services.

45. Scraping Amazon Reviews using Scrapy in Python [Tutorial]

Are you looking for a method of scraping Amazon reviews and do not know where to begin with? In that case, you may find this blog very useful in scraping Amazon reviews. In this blog, we will discuss scraping amazon reviews using Scrapy in python. Web scraping is a simple means of collecting data from different websites, and Scrapy is a web crawling framework in python.

46. 5 Técnicas Anti-Scraping que Puedes Encontrar

Con el advenimiento de los grandes datos, las personas comienzan a obtener datos de Internet para el análisis de datos con la ayuda de rastreadores web. Hay varias formas de hacer su propio rastreador: extensiones en los navegadores, codificación de python con Beautiful Soup o Scrapy, y también herramientas de extracción de datos como Octoparse.

47. How Can The Travel Industry Benefit From Data Scraping

The travel industry is a major service sector in most countries these days. It is also a major employment and revenue provider. This demands a lot of constant innovation and maintenance. The travel industry is a dynamic industry where the needs and preferences of a customer change every moment. The market players in this field need to keep up with the trends in the industry, the choices of the customers and even on the details of their own historical performance to perform better as time progresses. Thus, as you would presume, the companies working in the travel sector need a lot of data from multiple sources and a pipeline to assess and use that data for insights and recommendations.

48. The A-Z of Web Scraping in 2020 [A How-To Guide]

Web data extraction or web scraping in 2020 is the only way to get desired data if owners of a web site don't grant access to their users through API.

49. How to Web Scrape Using Python, Snscrape & HarperDB

Learn how to execute web scraping on Twitter using the snsscrape Python library and store scraped data automatically in database by using HarperDB.

50. Big Data: 70 Increíbles Fuentes de Datos Gratuitas que Debes Conocer para 2020

Por favor clic el artículo original：http://www.octoparse.es/blog/70-fuentes-de-datos-gratuitas-en-2020

51. Scraping with Selenium 101: The Big Hole on Data Scientists Toolset [Part 1]

Usually forgotten in all Data Science masters and courses, Web Scraping is, in my honest opinion a basic tool in the Data Scientist toolset, as is the tool for getting and therefore using external data from your organization when public databases are not available.

52. Python for Data Science: How to Scrape Website Data via the Internet's Top 300 APIs

In this post we are going to scrape websites to gather data via the API World's top 300 APIs of year. The major reason of doing web scraping is it saves time and avoid manual data gathering and also allows you to have all the data in a structured form.

53. How To Build a First Strike OTM Call Options Watchlist from Cashtags wHAOR

Today, We're going to build a script that scrapes Twitter to gather stock ticker symbols. We'll use those symbols to scrape yahoo finance for stock Options data. To ensure we can download all the Options data, we’ll make each web request with High Availability Onion Routing. In the end, we’ll do some Pandas magic to pull the first out of the money call contract for each symbol into the final watchlist.

Thank you for checking out the 53 most read stories about Data Scraping on HackerNoon.

Visit the /Learn Repo to find the most read stories about any technology.