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