https://github.com/imranr98/wealthsimpleton

A Python script that scrapes your Wealthsimple activity history and saves the data in a JSON file.
https://github.com/imranr98/wealthsimpleton

data-extraction data-ownership export python selenium selenium-webdriver wealthsimple web web-scraping

Last synced: about 1 month ago
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A Python script that scrapes your Wealthsimple activity history and saves the data in a JSON file.

• Host: GitHub
• URL: https://github.com/imranr98/wealthsimpleton
• Owner: ImranR98
• License: mit
• Created: 2024-03-10T04:26:02.000Z (10 months ago)
• Default Branch: master
• Last Pushed: 2024-08-11T21:31:10.000Z (4 months ago)
• Last Synced: 2024-08-11T22:35:33.927Z (4 months ago)
• Topics: data-extraction, data-ownership, export, python, selenium, selenium-webdriver, wealthsimple, web, web-scraping
• Language: Python
• Homepage:
• Size: 7.81 KB
• Stars: 2
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
# Wealthsimpleton

A Python script that scrapes your Wealthsimple activity history and saves the data in a JSON file.

The data scraped includes:

- Transaction description

- Transaction type

- Transaction amount

- Transaction date

## Usage

1. Ensure Python dependencies are installed: `pip install -r requirements.txt`

2. Ensure you have Chromium or Google Chrome installed.

3. Ensure you have Chrome Webdriver installed and that it is compatible with the version of Chromium/Chrome you have.

   - On Linux, you can run `installChromeDriver.sh` to automatically install/update ChromeDriver in `/usr/local/bin`,

4. Optionally, create a [`.env`](https://www.dotenv.org/docs/security/env.html) file with your Wealthsimple credentials defined as `WS_EMAIL` and `WS_PASSWORD` (or ensure those environment variables are present in some other way).

   - If you skip this, you will need to login manually when the script starts.

   - Note that even with these variables defined, you may still need to manually perform some login steps like 2FA or CAPTCHA.

5. Run the script: `python main.py`

   - You can use the `--after` argument to only include orders after a certain date/time (format is `%Y-%m-%d %H:%M`).

   - The output is printed to the terminal; if you would like to also save it to a file, use the `--file` argument with a valid file path.