Easy Twitter scraping with twitter-scraper-selenium
Use this Python tool to extract data from Twitter's webpage easily.
Scrape Twitter profile data to build social media analytics dashboards or customer research spreadsheets.
Save time and effort by automating data collection, or use this tool to access data not available through official Twitter APIs.
"A solo developer wants to research their competitors on Twitter. They use this tool to extract profile information, such as follower counts and tweet history, and then visualize the data in a Google Sheets chart to spot trends and areas for improvement."
Use it to get familiar with web scraping basics and Python programming.
Use it to quickly extract Twitter data for business research or social media analytics.
Don't confuse this tool with paid Twitter APIs, which may have usage limits and requirements.
TwitterScraperSelenium is a Python package that allows you to scrape Twitter's front-end easily, providing access to Twitter data for founders who need it.
pip install twitter-scraper-selenium- β’You need to collect Twitter data for market research or social media monitoring.
- β’You want to track Twitter trends, hashtags, or user interactions for your startup.
- β’You require Twitter data for training machine learning models or data analysis.
- 1Import the library by adding 'from twitter_scraper import TwitterScraper' to your Python script.
- 2Create a new instance of the TwitterScraper class with 'scraper = TwitterScraper()' to initialize the scraper.
- 3Use the 'scraper.get_tweets()' method to fetch tweets, specifying the query, limit, and other parameters as needed.
- 4Handle pagination by checking the 'scraper.has_next_page' attribute and calling 'scraper.get_next_page()' to fetch more results.
- 5Store the scraped data in a suitable data structure, such as a list or pandas DataFrame, for further analysis or processing.
scraper = TwitterScraper(); tweets = scraper.get_tweets('#startup', 100)Topics
Easy Twitter scraping with twitter-scraper-selenium is a small Python project (~2.2k lines across 15 code files, plus 2 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit this month, MIT license, has a test suite.
- 1README.mdStart here β what it does and how to install it
- 2twitter_scraper_selenium/__init__.pyInside twitter_scraper_selenium/ β the main logic begins here
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