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Browse 12 datasets tagged with Social Media for Python data engineering.
Social media datasets provide posts, engagement metrics, follower graphs, trending topics, and sentiment signals from platforms like Twitter, Reddit, and Instagram. Python data engineers use social data for brand monitoring pipelines, influencer analytics, NLP training corpora, and real-time trend detection systems.
Tweets, profiles, trends, and engagement metrics. Good for NLP and social analytics projects.
Posts, comments, and upvotes via PRAW. Great starting point for sentiment analysis and NLP.
Thousands of publicly available datasets hosted on GitHub repositories covering social media, financ
Access 16,000+ development indicators from the World Bank covering GDP, poverty, health, education,
Access demographic, economic, social, and geographic datasets from the US Census Bureau including th
The World Economic Forum publishes datasets and reports covering global competitiveness, gender pari
Eurostat, the statistical office of the European Union, offers a comprehensive database of statistic
The European Social Survey collects cross-national data on social attitudes, political engagement, v
A longitudinal cross-national survey measuring social, political, moral, and religious values across
The OECD provides macroeconomic, social, and environmental datasets for 38 member countries includin
Data from the ninth round of the European Social Survey covering attitudes on health, climate change
GDELT offers datasets on global events, including news articles, social media posts, protests, confl