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A RESTful database API covering all Nintendo Amiibo figures with attributes including series, character, release dates, and game compatibility. Useful for practising API ingestion, building product catalogues, and learning JSON-to-database ETL workflows in Python.
Engineers use `requests` to query all Amiibo figures or filter by game series, character, or type. The JSON response is clean and well-structured, making it ideal for teaching pandas DataFrame construction and simple SQLite database population.
AmiiboAPI is a convenient sandbox for building recommendation AI demos — create a chatbot that suggests Amiibo figures based on a user's favorite Nintendo games. Its structured metadata also works as a beginner dataset for training image-to-text matching models.
# pip install requests pandas
import requests, pandas as pd
resp = requests.get("https://www.amiiboapi.com/api/amiibo/")
df = pd.DataFrame(resp.json()["amiibo"])[["name", "gameSeries", "type"]]
print(f"Total Amiibos: {len(df)}")
print(df.sample(5))Official dataset source
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