Python Script for Amazon FBA products analysis using Keepa API

I am looking for experienced developers to write a Python script for analyzing potential products to sell on Amazon using API calls from Keepa. This is the first in a series of small projects, which will hopefully result in a long-term partnership for automating our FBA business on Amazon Marketplace Web Service (MWS).

This particular job will require learning about Keepa APIs, and writing a script performing the following steps:

- Read a parameter file (e.g., location of a product file, list of API parameters, decision thresholds, etc.)
- Read a csv file containing a list of products with product numbers (e.g., ASIN or UPC code), price, and other information (e.g., title, dimensions, etc.)
- Parse and clean up the data (e.g., remove blank, duplicates, etc)
- For each product:
-- query product history using standard Keepa API calls and data from the parameter file
-- calculate additional statistics using panda data analysis modules (e.g., average, standard deviation, percentile, etc.)
-- calculate profitability using Amazon FBA fees

- Save resulting product data in an output file.

Examples of specific API calls and parameter values will be provided.

When submitting your quote, let me know:
1) What are your experiences of writing Python scripts and working with Amazon sellers?
2) What are your experiences of working with Keepa API and/or Amazon Marketplace Web Service?
3) If you take a quick look at the github link above with Keepa search results, which repository would you choose for this project?
4) How long would it take you to write the script?
About the recuiter
Member since Sep 19, 2017
Walter Adamson
from New York, United States

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