Python Script for Sorare API: Player Price Analysis with Bot Integration
Budget: €30 – €250 EUR
I’m looking for an Python developer to create a script that utilizes the Sorare GraphQL API to perform detailed price analysis of Sorare player cards (both football and NBA).
Requirements:
API Data Retrieval: The script should fetch sales data of player cards to identify when a player is sold at a lower price compared to their previous sales.
Market Price Comparison: The script should detect when a player card is listed cheaper than other current listings on the market. The price difference should be configurable — for example, the script should highlight cards that are at least X% cheaper than the next lowest price, where X is a value I can define (e.g. 5%, 10%, 15%).
Filtering Options: Ability to filter by rarity, position, league, and other criteria.
Output: The results should be presented in a user-friendly way, for example via a Telegram or Discord bot. I’m also open to other suggestions for displaying the data.
Language:
German or English.
Requirements:
API Data Retrieval: The script should fetch sales data of player cards to identify when a player is sold at a lower price compared to their previous sales.
Market Price Comparison: The script should detect when a player card is listed cheaper than other current listings on the market. The price difference should be configurable — for example, the script should highlight cards that are at least X% cheaper than the next lowest price, where X is a value I can define (e.g. 5%, 10%, 15%).
Filtering Options: Ability to filter by rarity, position, league, and other criteria.
Output: The results should be presented in a user-friendly way, for example via a Telegram or Discord bot. I’m also open to other suggestions for displaying the data.
Language:
German or English.
Related categories:
PHP
JavaScript
Python
Software Architecture
Data Analysis
GraphQL
API Development
API Integration