What is HTTP?

HTTPS Site Scraper is a versatile web scraping tool built for secure, HTTPS-based websites — including social media, e-commerce platforms, and court or legal databases. Whether you’re collecting public records, monitoring products, or analyzing online trends, this tool simplifies the process with support for custom selectors, headless operation, and flexible export formats. Designed with modularity and anti-blocking strategies in mind, it helps users access and organize valuable public data at scale. Ideal for researchers, analysts, and developers, this scraper brings power and flexibility to automated web data extraction — while respecting terms of service and legal limits.

Media

Features

• 1. HTTPS Scraping: Extracts data from secure (HTTPS) websites.
• 2. Multi-Domain Support: Works on social, commerce, and court sites.
• 3. Custom Selectors: Target specific elements via CSS/XPath.
• 4. Headless Mode: Run in the background using headless browsers.
• 5. Export Options: Save data in CSV, JSON, or database formats.
• 6. Anti-Bot Handling: Optional stealth and delay features.

Installation

1. Download Visual Studio 2022 using Git Clone Or either download the project or exit the rar. Then Download Visual Studio 2022 Here Link VisualStudio Download

   Download These

2. OR

3. Then open the sln (Project Solution) file

4. Find Executable File

   /ProjectName/Bin/Debug/Executable.exe

How to Use

1. Open the Application

   • Locate the executable file (.exe) on your computer and double-click it to launch the program.

2. Select Target and Adjust Settings

   • Choose your desired target or task from the available options.
   • Customize any additional settings (e.g., preferences, configurations) to fit your needs.

3. Generate a Secure Password

   • Use the built-in feature to create a strong password hashed with the SHA-256 algorithm. This ensures your password is secure and encrypted.

4. Start the Process

   • Click the “Start” button or press Ctrl + V to begin the operation.
   • When prompted, enter the password you generated in the previous step.

5. Provide API Key (If Required)

   • If the application needs an API key to function (e.g., for external services), go to the settings and input your valid API key before proceeding.

6. Start the Server

   • Once everything is configured, start the server. Wait for the connection to be established. A stable connection is necessary for the app to work properly.

7. Troubleshoot Errors (If Any)

   • If you encounter errors, ensure the following are installed on your system:
     • Node.js: Download and install it from nodejs.org.
     • Visual Studio Build Tools: Install these tools to resolve technical issues.

Contributing

Licence

Project is licenced under the MIT licence.

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A curated collection of awesome LLM apps built with RAG and AI agents. This repository features LLM apps that use models from OpenAI, Anthropic, Google, and open-source models like DeepSeek, Qwen or Llama that you can run locally on your computer.