Telegram Scraper Data Storage Setup
Budget: ₹600 – ₹1,500 INR
I have a telegram scraper that I will be using to gather information, particularly about stocks. I need a database setup to store the scraped information in a structured format, with a focus on historical record keeping.
Key Requirements:
- **Database Type**: MongoDB. I need the system to be built using this database for efficient and flexible storage.
- **Data Structuring**: The main goal for the database is to have a well-structured and organized system for the scraped data. I would like it to store the datetime of the message and identify if there are any stock names mentioned in the message.
- **Handling Non-relevant Messages**: It's important that even messages without stock names are stored (with a 'No stock name' tag), as they could be useful for future analysis.
Ideal Skills and Experience:
- Proficient in MongoDB: Excellent knowledge in working with MongoDB, especially in setting up and maintaining databases.
- Data Structuring: Experience in structuring data efficiently and logically is important for this project.
- Telegram Scraper Knowledge: Familiarity with telegram scrapers and handling their output would be a plus.
- Stock Market Understanding: A basic understanding of stock names and the stock market would be advantageous for this project.
The end goal of this project is to have a well-organized database system that can store scraped telegram information efficiently and effectively, making it easy to retrieve important historical data.
Key Requirements:
- **Database Type**: MongoDB. I need the system to be built using this database for efficient and flexible storage.
- **Data Structuring**: The main goal for the database is to have a well-structured and organized system for the scraped data. I would like it to store the datetime of the message and identify if there are any stock names mentioned in the message.
- **Handling Non-relevant Messages**: It's important that even messages without stock names are stored (with a 'No stock name' tag), as they could be useful for future analysis.
Ideal Skills and Experience:
- Proficient in MongoDB: Excellent knowledge in working with MongoDB, especially in setting up and maintaining databases.
- Data Structuring: Experience in structuring data efficiently and logically is important for this project.
- Telegram Scraper Knowledge: Familiarity with telegram scrapers and handling their output would be a plus.
- Stock Market Understanding: A basic understanding of stock names and the stock market would be advantageous for this project.
The end goal of this project is to have a well-organized database system that can store scraped telegram information efficiently and effectively, making it easy to retrieve important historical data.