Retrieve Reddit posts, comments, upvotes, subreddit metadata, and user activity data via the PRAW Python library. Widely used for social media analytics pipelines, NLP training data collection, sentiment analysis, and building real-time data streams from online communities into data warehouses.
Python engineers use the `praw` (Python Reddit API Wrapper) library to authenticate with OAuth and iterate through subreddit posts, comments, and user histories. Data is typically streamed into Elasticsearch or stored as JSON for downstream NLP pipelines.
Reddit's long-form discussions are ideal for fine-tuning conversational LLMs and building domain-specific RAG knowledge bases. Subreddits like r/datascience or r/MachineLearning provide high-quality question-answer pairs for training AI assistants in technical domains.
# pip install praw
import praw
reddit = praw.Reddit(
client_id="YOUR_CLIENT_ID",
client_secret="YOUR_SECRET",
user_agent="my-data-app/1.0"
)
for post in reddit.subreddit("dataengineering").hot(limit=10):
print(post.title, post.score)Official dataset source
More datasets used by Python data engineers.
Access GPT language models, embeddings, and image generation tools from OpenAI. Commonly used in data engineering pipelines for text classification, entity extraction, automated summarisation, and enriching structured datasets with AI-generated features.
A free, open-source database API of breweries worldwide with details on beer types, locations, addresses, and contact information. Useful for practising REST API ingestion, geocoding datasets, building location-based analytics pipelines, and learning geospatial data loading in Python.
Retrieve real-time and historical air quality measurements including PM2.5, PM10, ozone, NO2, and CO from monitoring stations worldwide. Used in environmental data engineering pipelines for pollution trend analysis, public health analytics, geospatial mapping of air quality, and time-series ingestion in Python.