Mercatorio Scraping

This repository contains code for syncing data from Mercatorio to an AirTable. The scraped data is reformated into a table-structure that is suitable for AirTable.

Setup

1. Install Poetry and Docker

You'll need to ensure you have poetry installed first (pip install poetry).

You can install Docker in numerous ways depending on your OS.

2. Setup Airtable

You must provide an Airtable API key (aka a personal access token).

• Create a new workspace in AirTable.
• Create a new Personal Access Token.
• Give the personal access token all permissions to the new workspace.
• Create a new Base within the workspace called "Raw Data".

It's recommended you keep it in a local .env file, formatted like so:

3. Generate API Key for Mercatorio

• Generate API Credentials for Mercatorio here.

4. Setup .env file

Store both sets of credentials in a local .env file in the following format:

AIRBASE_API_KEY="abc123"
MERC_API_USER="[email protected]"
MERC_API_TOKEN="123abc"

5. Setup cache.db

• Create a file called "cache.db" in the working directory.
• Make sure the proper permissions are given for the working directory and cache.db.

6. Run the Migration

Run the migration script:

poetry run python migrate.py

This will configure the base with the required table structure.

Usage

Run the script using:

docker compose up

Testing

To start a Python session with an authenticated scraper:

$ poetry run ipython
>>> from shell import main
>>> await main()
>>> from shell import airtable, api, cache
>>> # Now you can use airtable, api, and cache