This repository contains a powerful and reliable Facebook Event Scraper, capable of efficiently scraping all events based on a given location or filters. Additionally, it provides functionality to store the scraped event data in a CSV (Comma-Separated Values) file for easy access and analysis.
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Location-Based Event Scraping: Scrapes Facebook events based on a specific location or geographical area, making it easy to find events in a particular region.
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Filtering Capabilities: Allows users to apply various filters to refine event search results. You can filter events based on keywords, date ranges, categories, and more.
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Data Storage: Stores the scraped event data in a CSV file, providing a structured format for further analysis and integration with other tools.
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Reliability: This scraper is designed to work consistently, even as Facebook's website structure may change over time. It handles changes in Facebook's layout gracefully to ensure uninterrupted scraping.
To get started with the Facebook Event Scraper, follow these steps:
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Clone the Repository: Clone this repository to your local machine using Git:
git clone https://github.com/your-username/facebook-event-scraper.git
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Install Dependencies: Navigate to the project directory and install the necessary Python dependencies:
pip install -r requirements.txt
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Usage: Use the scraper by running the Python script
main.py. Customize the location and filters according to your requirements:python scraper.py
Replace the arguments with your desired location, keywords, date range, and any other filters you wish to apply.
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CSV Output: After scraping, the event data will be stored in a CSV file named
events.csvin the project directory.
You can customize the scraper's behavior by modifying the configuration in the main.py file. This file allows you to adjust various settings such as the maximum number of events to scrape, the output file name, and the delay between requests to Facebook's servers to avoid rate limiting.
This project is licensed under the MIT License. See the LICENSE file for details.
This Facebook Event Scraper was created by Aditya Mukhopadhyay and is actively maintained by the open-source community. We appreciate your contributions and feedback to make this tool even more robust and valuable.
If you encounter any issues or have suggestions for improvements, please feel free to open an issue or submit a pull request. We welcome your contributions to help us maintain and enhance this project.