In this Python Tutorial, I would walk you through how to build a Twitter email scraper to grab the user emails using Tweepy and Twitter. By the end of this tutorial, you can also explore how to utilize regular expressions to extract text information from a paragraph.
Python modules: Easy2Digital API, Twitter API, regular expressions
Table of Contents: Twitter Email Scraper
- Methodology to scrape the Twitter profile emails
- Twitter Nickname or Twitter ID is okay
- Scrape Twitter User Biography Information
- Extract email addresses using regular expression
- Full Python Script of Twitter Email Scraper
- FAQ
Twitter Email Scraper – Methodology to scrape the Twitter Profile Emails
Twitter API itself doesn’t provide the twitter user profile email address as it deals with privacy and GDPR compliance. But twitter profiles who are proactively looking for business collaboration usually put their contacts in the biography. Scraping that information like you manually eye out and collect is not violating the data privacy, as the user welcomes you to reach out to her or him.
So the methodology in this python tutorial would be scraping biography information and extracting the emails if having. Basically, the majority of users place their contacts there.
Twitter Nickname or Twitter ID is okay
Before starting to scrape the biography information, you need to have a target-specific prof. ile ID or nickname in place. Regarding this approach of scraping the ID or nickname, please refer to this article
Chapter 34: Twitter Bot for Scraping Most Popular Topics and Influencer Profiles
Scrape Twitter User Biography Information Using a Nickname
Take the Twitter Nickname for example. When a list of names is ready, we would use the Tweepy method called get_user() and the parameter screen_name. Basically, this method can call the specific Twitter user profile information, which includes biography information.
The response data format is mixed at the moment with JSON and the API response ID number. For parsing the JSON. We need to add this command user._json, which is only to get the user json data.
Then, part of the JSON data has a dataset called description. This is the biography information that the user uploads to her or his profile. We need to scrape it. If you have more than one user nickname, you need a loop
Twitter Email Scraper – Extract email address using regular expression
Biography information might include email address, website URL, social profiles, etc. You can customize the regular expression based on your needs. Here is the regular expression to extract email addresses.
In the Regexextract formula, the 1st position argument is to set the data source
The 2nd positional argument is the formula to extract the emails.
Full Python Script of Twitter Email Scraper
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