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IMDb publishes regularly updated datasets covering movies, TV shows, episodes, cast, crew, ratings, and titles. Available as TSV files for direct download, making them ideal for building movie recommendation pipelines, graph analytics on actor networks, and practising large-scale batch ingestion in Python.
IMDb publishes gzipped TSV files at datasets.imdb.com. Engineers use `pandas.read_csv()` with compression='gzip' to load title basics, ratings, crew, and principal cast tables. Joins across these tables (using `tconst` as key) build a comprehensive movie knowledge graph.
IMDb's complete movie and ratings data is ideal for building AI recommendation engines and entertainment analytics tools. Use the title and plot description data to train RAG-based movie recommendation chatbots, or fine-tune ML models on rating distributions to predict audience reception for new content.
# pip install pandas
import pandas as pd
url = "https://datasets.imdbws.com/title.ratings.tsv.gz"
df = pd.read_csv(url, sep="\t", compression="gzip")
top = df[df["numVotes"] > 100_000].sort_values("averageRating", ascending=False)
print(top.head(10))Official dataset source
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