Get UNLIMITED Tweets by Python Without Twitter API

The video begins by introducing a method to scrape tweets without the limitations of the Twitter API or the need for authentication. The speaker shares their excitement about overcoming the API's restrictions, such as the 3200-tweet limit and the seven-day age limit. They proceed to demonstrate the installation of necessary Python packages, including 'sn.scrape' for social network scraping and 'pandas' for data manipulation. The speaker then creates a Python script to import the required modules and begins constructing a query to fetch tweets. The initial query is simple, but the speaker explains that it will be expanded upon later in the video. The process of fetching and printing tweets is shown, along with examining the attributes of a tweet, such as its URL, date, content, and user information. The speaker concludes the paragraph by mentioning the creation of a data frame to organize and display tweet information effectively.

In the second paragraph, the speaker delves into refining the tweet scraping process by altering the query to target specific tweets. They guide the viewer through using Twitter's advanced search feature to set precise criteria, such as a specific user's tweets and a custom date range. The speaker exemplifies this by searching for Elon Musk's tweets from 2010 to 2020 and copying the search parameters into the Python code. The limit is adjusted to 5000 tweets to accommodate the broader search, and the speaker demonstrates the code's execution, which takes a couple of minutes to fetch the desired tweets. The paragraph concludes with a mention of potential applications for the scraped tweets, such as performing sentiment analysis using a model from the Facebook AI team, and encourages viewers to check out a related video for more information on this topic. The speaker also invites viewers to like and subscribe for more helpful content.