Using python to scrap data for a pokedex
📰 Dev.to · David Li
Learn to scrape Pokémon data using Python and the GraphQL PokeAPI
Action Steps
- Install the required libraries using pip: 'pip install requests graphql-client'
- Import the libraries and initialize the GraphQL client: 'import requests; from graphqlclient import GraphQLClient'
- Define the GraphQL query to fetch Pokémon data: 'query { pokemon: ... }'
- Send the query to the PokeAPI and parse the response: 'response = client.execute(query)'
- Store the scraped data in a structured format like CSV or JSON: 'import csv; with open('pokemon_data.csv', 'w') as f:'
Who Needs to Know This
Data scientists and software engineers can benefit from this tutorial to collect and analyze Pokémon data
Key Insight
💡 Use the GraphQL PokeAPI to easily fetch Pokémon data
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🚀 Scrape Pokémon data with Python and GraphQL! 🚀
Key Takeaways
Learn to scrape Pokémon data using Python and the GraphQL PokeAPI
Full Article
We can use the new graphql pokeapi to easily get all the pokemon of interest, and then use the...
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