Who is this for: developers who are proficient at programming to build a web. Web scraping is the process of collecting structured web data in an automated fashion. It’s also called web data extraction. Some of the main use cases of web scraping include price monitoring, price intelligence, news monitoring, lead generation, and market research among many others.
Web scraping is an efficient method for extracting data about movies, timings, seating etc from movie sites.
Imagine all the movie data that you can gather on a daily basis. You could scrape the data for a particular actor, director or genre and use the information to analyze ongoing movie trends.
This tutorial is about scraping movie details from Fandango.com, a movie booking site, which allows you to find movie overviews and current showtimes.
In this web scraping tutorial, we’ll scrape Fandango.com for the movie details based on a given location and date.
Here is a list of fields we will be extracting:
- Theater Name
- Theater Address
- Movie Name
- Show Date
- Zip Code/Location
- Duration
- Genre
- Star Rating (Out of 5)
- Movie Rating
Read More – Learn how to scrape Expedia to gather flight data
Below is a screenshot of some of the data that will be scraped.
Scraping Logic
- Construct the URL of the search results from Fandango- Here is the one for the zip code 20001- https://www.fandango.com/20001_movietimes?mode=general&q=20001
- Download HTML of the search result page using Python Requests.
- Parse the page using LXML – LXML lets you navigate the HTML Tree Structure using Xpaths. We have predefined the XPaths for the details we need in the code.
- Save the data to a CSV file. In this article we are only scraping the movie name, rating, genre, theater address and name from the first page of results, so a CSV file should be enough to fit in all the data. If you would like to extract details in bulk, a JSON file is more preferable. You can read about choosing your data format, just to be sure.
Requirements
For this web scraping tutorial using Python 3, we will need some packages for downloading and parsing the HTML. Below are the package requirements.
Install Python 3 and Pip
Here is a guide to install Python 3 in Linux – http://docs.python-guide.org/en/latest/starting/install3/linux/
Mac Users can follow this guide – http://docs.python-guide.org/en/latest/starting/install3/osx/
Windows Users go here – https://www.scrapehero.com/how-to-install-python3-in-windows-10/
Install Packages
- PIP to install the following packages in Python (https://pip.pypa.io/en/stable/installing/)
- Python Requests, to make requests and download the HTML content of the pages ( http://docs.python-requests.org/en/master/user/install/).
- Python LXML, for parsing the HTML Tree Structure using Xpaths (Learn how to install that here – http://lxml.de/installation.html)
The Code
If the embed above doesn’t work, you can download the code from the link here.
If you would like the code in Python 2.7, check out this link.
Running the Scraper
Assume the script is named fandango.py. If you type in the script name in command prompt or terminal along with a -h
The arguments location and showtime are the keywords to find the list of movies for a given location and date.
The argument for location can be given by using a zip code, or you can provide it in the format ‘City, State Abbreviation’. The argument showdate should be given in the format YYYY/MM/DD.
This will create a CSV file called Queens, CA-2017-12-29-movie-results.csvthat will be in the same folder as the script. Here is some sample data extracted from Fandango.com for the command above. You can follow this tutorial if you would like to parse the address into a structured format.
Known Limitations
This scraper should be able to scrape the details of movies currently showing on Fandango.com. You can even go further and create a complex scraper to collect the details of the available seats for each showtime. If you would like to scrape the details of thousands of pages at very short intervals then you should read Scalable do-it-yourself scraping – How to build and run scrapers on a large scale and How to prevent getting blacklisted while scraping
Disclaimer:Any code provided in our tutorials is for illustration and learning purposes only. We are not responsible for how it is used and assume no liability for any detrimental usage of the source code. The mere presence of this code on our site does not imply that we encourage scraping or scrape the websites referenced in the code and accompanying tutorial. The tutorials only help illustrate the technique of programming web scrapers for popular internet websites. We are not obligated to provide any support for the code, however, if you add your questions in the comments section, we may periodically address them.We can help with your data or automation needs
Turn the Internet into meaningful, structured and usable data
Monday, January 18, 2021
Web scraping (also termed web data extraction, screen scraping, or web harvesting) is a technique of extracting data from the websites. It turns unstructured data into structured data that can be stored into your local computer or a database.
It can be difficult to build a web scraper for people who don’t know anything about coding. Luckily, there are tools available for people with or without programming skills. Also, if you're seeking a job for big data developers, using web scraper definitely raises your working effectiveness in data collection, improving your competitiveness. Here is our list of 30 most popular web scraping tools, ranging from open-source libraries to browser extension to desktop software.
Table of Content
1. Beautiful Soup
Who is this for: developers who are proficient at programming to build a web scraper/web crawler to crawl the websites.
Why you should use it: Beautiful Soup is an open-source Python library designed for web-scraping HTML and XML files. It is the top Python parsers that have been widely used. If you have programming skills, it works best when you combine this library with Python.
2. Octoparse
Who is this for: People without coding skills in many industries, including e-commerce, investment, cryptocurrency, marketing, real estate, etc. Enterprise with web scraping needs.
Why you should use it: Octoparse is free for life SaaS web data platform. You can use to scrape web data and turns unstructured or semi-structured data from websites into a structured data set. It also provides ready to use web scraping templates including Amazon, eBay, Twitter, BestBuy, and many others. Octoparse also provides web data service that helps customize scrapers based on your scraping needs.
3. Import.io
Who is this for: Enterprise looking for integration solution on web data.
Why you should use it: Import.io is a SaaS web data platform. It provides a web scraping solution that allows you to scrape data from websites and organize them into data sets. They can integrate the web data into analytic tools for sales and marketing to gain insight from.
4. Mozenda
Who is this for: Enterprise and business with scalable data needs.
Why you should use it: Mozenda provides a data extraction tool that makes it easy to capture content from the web. They also provide data visualization services. It eliminates the need to hire a data analyst.
5. Parsehub
Who is this for: Data analyst, Marketers, and researchers who lack programming skills.
Why you should use it: ParseHub is a visual web scraping tool to get data from the web. You can extract the data by clicking any fields on the website. It also has an IP rotation function that helps change your IP address when you encounter aggressive websites with anti-scraping techniques.
6. Crawlmonster
Who is this for: SEO and marketers
Why you should use it: CrawlMonster is a free web scraping tool. It enables you to scan websites and analyze your website content, source code, page status, etc.
7. ProWebScraper
Who is this for: Enterprise looking for integration solution on web data.
Why you should use it: Connotate has been working together with Import.io, which provides a solution for automating web data scraping. It provides web data service that helps you to scrape, collect and handle the data.
8. Common Crawl
Who is this for: Researchers, students, and professors.
Why you should use it: Common Crawl is founded by the idea of open source in the digital age. It provides open datasets of crawled websites. It contains raw web page data, extracted metadata, and text extractions.
9. Crawly
Who is this for: People with basic data requirements.
Why you should use it: Crawly provides automatic web scraping service that scrapes a website and turns unstructured data into structured formats like JSON and CSV. They can extract limited elements within seconds, which include Title Text, HTML, Comments, DateEntity Tags, Author, Image URLs, Videos, Publisher and country.
10. Content Grabber
Who is this for: Python developers who are proficient at programming.
Why you should use it: Content Grabber is a web scraping tool targeted at enterprises. You can create your own web scraping agents with its integrated 3rd party tools. It is very flexible in dealing with complex websites and data extraction.
11. Diffbot
Who is this for: Developers and business.
Why you should use it: Diffbot is a web scraping tool that uses machine learning and algorithms and public APIs for extracting data from web pages. You can use Diffbot to do competitor analysis, price monitoring, analyze consumer behaviors and many more.
12. Dexi.io
Who is this for: People with programming and scraping skills.
Why you should use it: Dexi.io is a browser-based web crawler. It provides three types of robots — Extractor, Crawler, and Pipes. PIPES has a Master robot feature where 1 robot can control multiple tasks. It supports many 3rd party services (captcha solvers, cloud storage, etc) which you can easily integrate into your robots.
13. DataScraping.co
Who is this for: Data analysts, Marketers, and researchers who're lack of programming skills.
Why you should use it: Data Scraping Studio is a free web scraping tool to harvest data from web pages, HTML, XML, and pdf. The desktop client is currently available for Windows only.
14. Easy Web Extract
Who is this for: Businesses with limited data needs, marketers, and researchers who lack programming skills.
Why you should use it: Easy Web Extract is a visual web scraping tool for business purposes. It can extract the content (text, URL, image, files) from web pages and transform results into multiple formats.
15. FMiner
Web Scraping Online
Who is this for: Data analyst, Marketers, and researchers who're lack of programming skills.
Why you should use it: FMiner is a web scraping software with a visual diagram designer, and it allows you to build a project with a macro recorder without coding. The advanced feature allows you to scrape from dynamic websites use Ajax and Javascript.
16. Scrapy
Who is this for: Python developers with programming and scraping skills
Why you should use it: Scrapy can be used to build a web scraper. What is great about this product is that it has an asynchronous networking library which allows you to move on to the next task before it finishes.
17. Helium Scraper
Who is this for: Data analysts, Marketers, and researchers who lack programming skills.
Why you should use it: Helium Scraper is a visual web data scraping tool that works pretty well especially on small elements on the website. It has a user-friendly point-and-click interface which makes it easier to use.
18. Scrape.it
Who is this for: People who need scalable data without coding.
Why you should use it: It allows scraped data to be stored on the local drive that you authorize. You can build a scraper using their Web Scraping Language (WSL), which is easy to learn and requires no coding. It is a good choice and worth a try if you are looking for a security-wise web scraping tool.
19. ScraperWiki
El capitan update to catalina. Who is this for: A Python and R data analysis environment. Ideal for economists, statisticians and data managers who are new to coding.
Why you should use it: ScraperWiki consists of 2 parts. One is QuickCode which is designed for economists, statisticians and data managers with knowledge of Python and R language. The second part is The Sensible Code Company which provides web data service to turn messy information into structured data.
20. Scrapinghub
Who is this for: Python/web scraping developers
Why you should use it: Scraping hub is a cloud-based web platform. It has four different types of tools — Scrapy Cloud, Portia, Crawlera, and Splash. It is great that Scrapinghub offers a collection of IP addresses covering more than 50 countries. This is a solution for IP banning problems.
21. Screen-Scraper
Who is this for: For businesses related to the auto, medical, financial and e-commerce industry.
Why you should use it: Screen Scraper is more convenient and basic compared to other web scraping tools like Octoparse. It has a steep learning curve for people without web scraping experience.
22. Salestools.io
Who is this for: Marketers and sales.
Why you should use it: Salestools.io is a web scraping tool that helps salespeople to gather data from professional network sites like LinkedIn, Angellist, Viadeo.
23. ScrapeHero
Who is this for: Investors, Hedge Funds, Market Analysts
Why you should use it: As an API provider, ScrapeHero enables you to turn websites into data. It provides customized web data services for businesses and enterprises.
24. UniPath
Who is this for: Bussiness in all sizes.
Why you should use it: UiPath is a robotic process automation software for free web scraping. It allows users to create, deploy and administer automation in business processes. It is a great option for business users since it helps you create rules for data management.
25. Web Content Extractor
Who is this for: Data analysts, Marketers, and researchers who're lack of programming skills.
Why you should use it:Web Content Extractor is an easy-to-use web scraping tool for individuals and enterprises. You can go to their website and try its 14-day free trial.
26. WebHarvy
Web Scraping Movies Online
Who is this for: Data analysts, Marketers, and researchers who lack programming skills.
Why you should use it: WebHarvy is a point-and-click web scraping tool. It’s designed for non-programmers. They provide helpful web scraping tutorials for beginners. However, the extractor doesn’t allow you to schedule your scraping projects.
27. Web Scraper.io
Who is this for: Data analysts, Marketers, and researchers who lack programming skills.
Why you should use it: Web Scraper is a chrome browser extension built for scraping data from websites. It’s a free web scraping tool for scraping dynamic web pages.
28. Web Sundew
Who is this for: Enterprises, marketers, and researchers.
Why you should use it: Book of givenchy sketches. WebSundew is a visual scraping tool that works for structured web data scraping. The Enterprise edition allows you to run the scraping projects at a remote server and publish collected data through FTP.
29. Winautomation
Who is this for: Developers, business operation leaders, IT professionals
Why you should use it: Winautomation is a Windows web scraping tool that enables you to automate desktop and web-based tasks.
30. Web Robots
Who is this for: Data analysts, Marketers, and researchers who lack programming skills.
Why you should use it: Web Robots is a cloud-based web scraping platform for scraping dynamic Javascript-heavy websites. It has a web browser extension as well as desktop software, making it easy to scrape data from the websites.
Closing Thoughts
Web Scraping Made Easy
To extract data from websites with web scraping tools is a time-saving method, especially for those who don't have sufficient coding knowledge. There are many factors you should consider when choosing a proper tool to facilitate your web scraping, such as ease of use, API integration, cloud-based extraction, large-scale scraping, scheduling projects, etc. Web scraping software like Octoparse not only provides all the features I just mentioned but also provides data service for teams in all sizes - from start-ups to large enterprises. You can contact usfor more information on web scraping.
Web Scraping Means
Ashley is a data enthusiast and passionate blogger with hands-on experience in web scraping. She focuses on capturing web data and analyzing in a way that empowers companies and businesses with actionable insights. Read her blog here to discover practical tips and applications on web data extraction Onenote cost. 日本語記事：スクレイピングツール30選｜初心者でもWebデータを抽出できる |