This project is designed to automate the process of following users on Instagram based on a list of Instagram page URLs obtained from the Heellife UNC website. It uses R and RSelenium to navigate web pages, extract Instagram handles, and automate the login and following process on Instagram.
Before running the script, ensure that you have R installed on your system. Then, install the required R packages by running the script. The script checks for the existence of each package before attempting to install it, ensuring that all dependencies are satisfied.
- Clone or download this repository to your local machine.
- Open the R script in an R environment (e.g., RStudio).
Fill in a .env file in the root directory of the project and add your Heellife credentials, Instagram credentials, and any other environment variables you need. Example:
env_content <- "HL_USERNAME=yourHeellifeUsername\nHL_PASSWORD=yourHeellifePassword\nIG_USERNAME=yourInstagramUsername\nIG_PASSWORD=yourInstagramPassword"
Note: Do not share or commit this file as it contains sensitive information.
To run the script, simply execute it in your R environment. The script will perform the following actions:
- Log in to Heellife UNC and Instagram.
- Scrape Instagram handles from Heellife UNC.
- Navigate to each Instagram page and follow users up to the specified follow limit.
- The script is designed to respect Instagram's rate limiting by incorporating delays between actions. Adjust the
followLimitand sleep intervals as necessary to comply with Instagram's terms of service.
Contributions are welcome! Please feel free to submit a pull request or open an issue if you have suggestions for improvements.
This project is open-sourced under the MIT License. See the LICENSE file for details.