woctezuma / egs-datamining

Datamining of Epic Games Store (EGS).

EGS Data-Mining

This repository contains Python code to data-mine the Epic Games Store (EGS).

The workflow consists in:

1. listing namespaces associated with a known store page,
2. extracting codenames from the databases of items and offers,
3. filtering out codenames associated with a known store page,
4. listing one or several namespaces associated with each codename,
5. listing one or several items and offers associated with each namespace.

Requirements

• Install the latest version of Python 3.X.
• Install the required packages:

pip install -r requirements.txt

Data acquisition

To download data from the trackers (at most once per day):

python download_data.py

Usage

To figure out codenames of games for which the store page is not yet online:

python filter_codenames.py

The output is shown in data/outputs.json as of May 21, 2021.

Then one can look for hints of unreleased games by manually filtering entries with one of the codenames at:

• the item tracker
• the offer tracker

e.g. with the codename Angelfish :

References

Data trackers:

• items
• offers

A few useful websites:

• EGData
• EpicDataInfo

Press coverage:

• PC Gamer: "Final Fantasy 7 Remake listing shows up on Epic Games Store database tracker"
• VGC: "Alan Wake Remastered and Final Fantasy 7 Remake listings spotted on the Epic Games Store’s database"

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github-actions

.github/workflows/python-app.yml

• actions/checkout v4
• actions/setup-python v5
• codecov/codecov-action v4

pip_requirements

requirements.txt

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