Twitter Scraping with Python | Extract Tweets, Hashtags, User Data (2025 Updated)
Twitter Scraping Tutorial with Python | AutoDataLab Presents
Welcome to AutoDataLab, your trusted source for professional data scraping and automation tutorials. In this comprehensive video, we dive deep into the world of Twitter scraping using Python and modern automation tools. Whether you're a data analyst, researcher, freelancer, or just a curious learner, this video will give you hands-on knowledge on how to collect Twitter data effectively and responsibly.
🧠 What You’ll Learn from This Video
At AutoDataLab, we believe in learning by doing. In this video, we cover:
Introduction to Twitter scraping
Overview of Twitter API vs scraping methods
How to extract tweets without API access
Tools used: Python, Tweepy, Selenium, BeautifulSoup, snscrape
Real-time scraping using snscrape (no login required!)
How to scrape:
Tweets by keyword
Tweets by hashtag
Tweets from a specific user
Replies and retweets
Data formatting into CSV, Excel, or Google Sheets
Bonus: Automating scraping tasks with cron jobs and task schedulers
Legal & ethical considerations of Twitter scraping
🧰 Tools & Technologies Used
In true AutoDataLab fashion, we use:
🐍 Python
📦 Libraries: snscrape, Pandas, Requests, JSON, Time
💻 Jupyter Notebook / VS Code
🧪 Optional API Tweepy (for advanced use)
🌐 Google Colab for cloud-based scraping (if you have no setup)
🚀 Use Cases of Twitter Scraping
From AutoDataLab’s experience, Twitter scraping helps in:
Market research
Political sentiment analysis
Social media trend tracking
Crisis management
Product feedback analysis
Competitor monitoring
Freelancing project delivery
Academic research datasets
📂 Data Fields Extracted in This Tutorial
With AutoDataLab's scraping method, you can collect:
Tweet content
Tweet URL
Username
Timestamp
Retweet & like count
Location (if available)
Hashtags used
Mentions
All data is organized cleanly in spreadsheets for your further analysis.
⚠️ Disclaimer on Ethics & Legality
At AutoDataLab, we strictly discourage unethical scraping. Always follow:
Twitter’s Terms of Service
Respect for privacy and public data policies
Use scraped data only for educational and permitted research purposes
💼 Freelancers & Agencies: Why Scraping is Powerful
If you're a freelancer on Upwork, Fiverr, or LinkedIn, you can offer scraping services as part of your gig. AutoDataLab also shows how you can package your scraping results for clients.
📈 Boost Your Career with AutoDataLab
By subscribing to AutoDataLab, you gain:
Weekly tutorials on scraping LinkedIn, Facebook, Instagram, Twitter, and more
Web automation projects using Selenium & APIs
Python-based tools for data extraction and processing
Exclusive guides for scraping job boards, real estate sites, eCommerce platforms
Free project files and source code for hands-on practice
🔑 Keywords (SEO Optimized)
twitter scraping tutorial, twitter data scraping, scraping twitter with python, snscrape python, auto datalab, AutoDataLab scraping, twitter automation, python snscrape tutorial, web scraping 2025, freelancing scraping projects, data analyst tools, how to collect tweets, no api twitter scraping, AutoDataLab scraping python, twitter scraping for research, twitter data analysis, twitter trends monitoring
📲 Subscribe & Stay Ahead
If you found this tutorial helpful, subscribe to AutoDataLab and turn on notifications 🔔 to never miss a video.
📌 Channel Name: AutoDataLab
📌 Hashtags:
#AutoDataLab #TwitterScraping #WebScraping2025 #PythonScraping #FreelancingTips #DataAutomation #snscrape
📝 Need the Source Code?
You can comment “📥 NEED CODE” below or visit the pinned comment to download the full source files used in this video, exclusively from AutoDataLab.
Видео Twitter Scraping with Python | Extract Tweets, Hashtags, User Data (2025 Updated) канала Scraping bot creator
Welcome to AutoDataLab, your trusted source for professional data scraping and automation tutorials. In this comprehensive video, we dive deep into the world of Twitter scraping using Python and modern automation tools. Whether you're a data analyst, researcher, freelancer, or just a curious learner, this video will give you hands-on knowledge on how to collect Twitter data effectively and responsibly.
🧠 What You’ll Learn from This Video
At AutoDataLab, we believe in learning by doing. In this video, we cover:
Introduction to Twitter scraping
Overview of Twitter API vs scraping methods
How to extract tweets without API access
Tools used: Python, Tweepy, Selenium, BeautifulSoup, snscrape
Real-time scraping using snscrape (no login required!)
How to scrape:
Tweets by keyword
Tweets by hashtag
Tweets from a specific user
Replies and retweets
Data formatting into CSV, Excel, or Google Sheets
Bonus: Automating scraping tasks with cron jobs and task schedulers
Legal & ethical considerations of Twitter scraping
🧰 Tools & Technologies Used
In true AutoDataLab fashion, we use:
🐍 Python
📦 Libraries: snscrape, Pandas, Requests, JSON, Time
💻 Jupyter Notebook / VS Code
🧪 Optional API Tweepy (for advanced use)
🌐 Google Colab for cloud-based scraping (if you have no setup)
🚀 Use Cases of Twitter Scraping
From AutoDataLab’s experience, Twitter scraping helps in:
Market research
Political sentiment analysis
Social media trend tracking
Crisis management
Product feedback analysis
Competitor monitoring
Freelancing project delivery
Academic research datasets
📂 Data Fields Extracted in This Tutorial
With AutoDataLab's scraping method, you can collect:
Tweet content
Tweet URL
Username
Timestamp
Retweet & like count
Location (if available)
Hashtags used
Mentions
All data is organized cleanly in spreadsheets for your further analysis.
⚠️ Disclaimer on Ethics & Legality
At AutoDataLab, we strictly discourage unethical scraping. Always follow:
Twitter’s Terms of Service
Respect for privacy and public data policies
Use scraped data only for educational and permitted research purposes
💼 Freelancers & Agencies: Why Scraping is Powerful
If you're a freelancer on Upwork, Fiverr, or LinkedIn, you can offer scraping services as part of your gig. AutoDataLab also shows how you can package your scraping results for clients.
📈 Boost Your Career with AutoDataLab
By subscribing to AutoDataLab, you gain:
Weekly tutorials on scraping LinkedIn, Facebook, Instagram, Twitter, and more
Web automation projects using Selenium & APIs
Python-based tools for data extraction and processing
Exclusive guides for scraping job boards, real estate sites, eCommerce platforms
Free project files and source code for hands-on practice
🔑 Keywords (SEO Optimized)
twitter scraping tutorial, twitter data scraping, scraping twitter with python, snscrape python, auto datalab, AutoDataLab scraping, twitter automation, python snscrape tutorial, web scraping 2025, freelancing scraping projects, data analyst tools, how to collect tweets, no api twitter scraping, AutoDataLab scraping python, twitter scraping for research, twitter data analysis, twitter trends monitoring
📲 Subscribe & Stay Ahead
If you found this tutorial helpful, subscribe to AutoDataLab and turn on notifications 🔔 to never miss a video.
📌 Channel Name: AutoDataLab
📌 Hashtags:
#AutoDataLab #TwitterScraping #WebScraping2025 #PythonScraping #FreelancingTips #DataAutomation #snscrape
📝 Need the Source Code?
You can comment “📥 NEED CODE” below or visit the pinned comment to download the full source files used in this video, exclusively from AutoDataLab.
Видео Twitter Scraping with Python | Extract Tweets, Hashtags, User Data (2025 Updated) канала Scraping bot creator
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12 апреля 2025 г. 20:20:00
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