Python Script for Amazon FBA products analysis usi...
Python Script for Amazon FBA products analysis using Keepa API
Posted by - Dash Bitla at Jan 14, 2022 Gujarat, India
Toogit Instant Connect Enabled
Feb 13, 2022
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?