How to Scrape Twitter Using Twitter Scraper

Accessing data from social media feeds can be useful in conducting sentiments analysis and understanding user behavior towards a particular event, product, or statement. With the right infrastructure, you can scrape twitter for keywords or based on a time frame. This tutorial shows you how to scrape tweet data from Twitter’s advanced search for free using the Twitter Scraper available on ScrapeHero Cloud and help you scrape Twitter data easily without any coding.

Here are the steps to scrape Twitter Data:

  1. Create a ScrapeHero Cloud account and select the Twitter Crawler.
  2. Input the Twitter Advanced search URLs and filters to be scraped.
  3. Setup and run the Twitter scraper.
  4. Download the scraped tweet data from Twitter (CSV, JSON, XML).

ScrapeHero Cloud has pre-built scrapers which help businesses to easily gather data from social media websites such as Instagram. These scrapers are easy to use and cloud-based, you need not worry about selecting the fields to be scraped nor download any software. The scraper and the data can be accessed from any browser at any time and can deliver the data directly to Dropbox. 

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The crawler scrapes the data without logging in, so the actual number of pages crawled might differ in ScrapeHero Cloud.

Data Fields to Extract

These are the data fields we can extract using the Twitter Crawler based on the input URLs.

  1. Handle
  2. Content
  3. Name
  4. Replies
  5. Retweets
  6. Favorite
  7. Date
  8. Hashtag
  9. URL

Step 1: Create an account

First, we will create an account in ScrapeHero Marketplace. To sign up go to the link – https://cloud.scrapehero.com/accounts/login/ and create an account with your email address.

Step 2: Input the Details for the Twitter Scraper

There are two ways you can provide input URL for the Twitter crawler in two ways:

– Getting the input URL from Twitters Advanced Search

Twitter Advanced Search lets you find historical tweets that you can filter based on parameters like Words, People, and Dates. In order to scrape historical tweet data, use the advanced search in Twitter by going to this URL

https://twitter.com/search-advanced?lang=en

and filter the data based on your needs. For now, we will do a search for all tweets which has the text “tesla” and was made between October 1 to October 5, 2018. Copy the search result URL. Our link looks like this:

https://twitter.com/search?l=&q=tesla%20since%3A2018-10-01%20until%3A2018-10-05&src=typd&lang=en

– Providing a Hashtag or Twitter Profile as an input URL

You can provide the URL of a Twitter Profile like this:
https://twitter.com/NatGeo

Or based on a search hashtag like this:
https://twitter.com/hashtag/ElonMusk?src=hashtag_click&f=live

Step 3: Setting up Twitter Scraper and Running it

This advanced Twitter scraper allows you to input filters based on which you would like to scrape tweets from Twitter. Choose the date filter to limit the tweets from a certain time and the number of tweets to collect. If do not want any original or referenced quotes and hashtags, you have the option to exclude them. After you have input all your URLs and filters click on ‘Continue’.

The Twitter crawler page will open up and you will see the option to gather the data. Once you have click it, the scraper will start scraping tweets from Twitter.

After the scrape is complete the ‘Status’ of the crawler will change from ‘Started’ to ‘Finished’. Click on ‘View Data’ to view the scraped Twitter data. 

Step 4: Download Twitter Data

You can see all the scraped tweets on this page. To download the scraped tweet data click on ‘Download Data’.

A drop down to select a data format will appear. You can choose between CSV, JSON and XML formats. After clicking on the data format option, a file will soon be downloaded with all the scraped Twitter data.

You can get data delivered to Dropbox if you integrate the crawler account to your Dropbox account. You also have the option to schedule the data if you want to scrape twitter data on a timely basis. 

Go to the tab ‘Schedule’ in the table and click on the button ‘Add Schedule’. There are the options to choose the date, time and time zone along with the options to repeat the run as often as you want – hourly, weekly or daily. 

If you don't like or want to code, ScrapeHero Cloud is just right for you!

Skip the hassle of installing software, programming and maintaining the code. Download this data using ScrapeHero cloud within seconds.

Get Started for Free
Deploy to ScrapeHero Cloud

The crawler scrapes the data without logging in, so the actual number of pages crawled might differ in ScrapeHero Cloud.

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Please DO NOT contact us for any help with our Tutorials and Code using this form or by calling us, instead please add a comment to the bottom of the tutorial page for help

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.

Posted in:   Social Media Data Gathering, Web Scraping Tutorials

Responses

Lauren H November 20, 2019

Hello, i have attempted to scrape twitter data over the period of 9 months but only ended up extracting 100 tweets from one day, why might this be? thanks

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