Let's learn about Data Scraping via these 70 free blog posts. They are ordered by HackerNoon reader engagement data. Visit the Learn Repo or LearnRepo.com to find the most read blog posts about any technology.
Data scraping is the process of extracting data from websites. It matters for gathering large datasets for analysis, market research, or content aggregation, providing valuable insights from publicly available web information for various applications.
1. 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.
2. Python for Data Science: How to Scrape Website Data via the Internet's Top 300 APIs
3. 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.
4. How I Successfully "Reverse-Engineered" ChatGPT to Create an Unofficial API Wrapper
Scraping ChatGPT with Python
5. Scraping Tweet Replies with Python and Tweepy Twitter API [A Step-by-Step Guide]
A Quick Method To Extract Tweets and Replies For Free
6. 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
7. America's Secret Pager Giant
Early January 2022, I spontaneously bought a pager. I looked into the US pager market, and to my surprise...
8. 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.
9. 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.
10. 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.
11. 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.
12. How AI Automates Data Scraping and Data Analysis
There are numerous ways that AI can help us in data scraping and data analysis. Check out these tools and methods!
13. 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.
14. 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.
15. 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.
16. 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.
17. 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!
18. PHP Web Scraping Using Goutte
When you talk about web scraping, PHP is the last thing most people think about.
19. 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.
20. 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!
21. 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.
22. How to Scrape Kasada Protected Websites
How to scrape Kasada-protected websites with Python and other tools, both free and commercial
23. Market-Aware Agents Need Instant Knowledge Acquisition, Not the Latest Model
Market-aware agents must discover and verify live external data. Learn why Instant Knowledge Acquisition is required for accuracy and scale
24. The Best User Agent for Web Scraping
Learn why you should set a user agent when scraping the web and discover the best user agent for web scraping
25. 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.
26. 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?
27. Scraping the unscrapable in Python using Playwright
Scraping the web is about extracting data in a clean and readable format that developers deploy to read and download an entire web page of its data ethically
28. 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.
29. Content Scraping: An Unforgivable Theft of Creativity
We need to talk about the grim reality of content scraping—a cybercrime undermining creators.
30. My Journey Building a Scraper with Ruby
31. 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.
32. 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!
33. Automating the Automation: Can AI Fully Take Over the Data Scraping Process?
Can modern AI systems fully automate web data collection and analysis? Let’s delve deeper into ML and web scraping to see if this is more than just a new hype.
34. 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.
35. Build a Data-Scraping App Using Puppeteer, Node.js, PostgreSQL and Aptible
How to build a data scrapping application using Puppeteer, Node.js, PostgreSQL, and Aptible.
36. 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.
37. 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!
38. 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.
39. 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.
40. Data Scraping in Node.js 101
How to gather data without those pesky databases.
41. Utilizing Web Scraping and Alternative Data in Financial Markets
What are alternative data and how to use web scraping to build datasets for financial markets?
42. What is Web Data Collection?
Everything you need to know to automate, optimize and streamline the data collection process in your organization!
43. How is Web Crawling Used in Data Science
No-Code tools for collecting data for your Data Science project
44. The A-Z of Web Scraping in 2020 [A How-To Guide]
45. 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.
46. 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.
47. 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
48. 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.
49. Scraping Data With Selenium: Upwork Series #2
Hi Devs!
50. 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?
51. Scraping Google Search Console Backlinks
Learn how to emulate a normal user request and scrape Google Search Console data using Python and Beautiful Soup.
52. 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.
53. Graphing Likes and Comments on Instagram Posts to See the Trends Visually
Turning Instagram into data: A fun journey to collect and graph likes and comments using network requests and Python for an ego-boosting data analysis.
54. How to Scrape Domain.com.au Real Estate Data with Apify Actor
Learn how to scrape real estate listings from Domain.com.au using an Apify actor. Extract property details, pricing, agent info, and more.
55. 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.
56. 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.
57. Top Scraping Tools for Amazon
Scraping Amazon is challenging. Hence, having the right tools is crucial. I compared three tools based on their price, performance, and features.
58. How Web Scraping Helps Businesses Outperform Their Competition
59. 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.
60. 53 Stories To Learn About Data Scraping
Learn everything you need to know about Data Scraping via these 53 free HackerNoon stories.
61. Facebook Confirms It Scrapes Every Australian Adult's Public Photos and Posts to Train AI
if you’re an Australian adult on Facebook, your public photos, posts, and other data are being scraped to train their AI models.
62. 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.
63. Las 15 preguntas más frecuentes sobre Web Scraping
Previously published at https://www.octoparse.es/blog/15-preguntas-frecuentes-sobre-web-scraping
64. 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.
65. Cloudflare's AI Labyrinth Bankrupts Data Scrapers
Cloudflare's AI Labyrinth has Bankrupted Data Scrapers. A major scraping company lost $2.3 million in the first week after the new free tool was launched
66. How to Scrape Data Off Wikipedia: Three Ways (No Code and Code)
Get your hands on excellent manually annotated datasets with Google Sheets or Python
67. Data Analysis Applied to Auto-Increment API fields
This article discusses the security risks of using auto-increment fields in API responses and methods to prevent data leaks and protect business metrics.
68. 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
69. 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.
70. 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.
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