Welcome to the official repository for code experiments from Nimble's web scraping blog series. This repository is a collection of unique experiments and code snippets that we've discussed in our various articles on web scraping techniques using Nimble API.
Each folder in this repository corresponds to a specific article in our blog series. Inside each folder, you'll find the complete code used in the experiments, along with detailed comments explaining each step of the process. Our goal is to provide a practical, hands-on resource for learning and experimenting with web scraping techniques.
- Experiments by Article: Navigate to the sub-folder named after the blog article you're interested in. Each folder contains all the relevant code and resources used in that particular experiment.
- Public Web Data Scraping in 2024 - Practical Blog: LINK
- The Ultimate Guide to Python Web Scraping - Guidelines: LINK
- Documentation: Each experiment folder contains a README file with an overview of the experiment, setup instructions, and additional notes.
To get started with these experiments, you'll need to have a basic understanding of web scraping and programming in the language used in the experiments (Python, JavaScript, etc.). Follow these steps:
- Clone the Repository: Use
git cloneto clone this repository to your local machine. - Install Dependencies: Navigate to the experiment folder and install any required dependencies listed in the README.
- Read the Article: For context and detailed explanations, read the corresponding blog article on Nimble's website.
- Run the Experiments: Follow the instructions in the experiment's README to run the code.
We encourage contributions to this repository! If you have suggestions for improvements or new experiments, please follow our contribution guidelines outlined in CONTRIBUTING.md.
This repository is licensed under the MIT License. Feel free to use and modify the code for your personal or professional projects.
For any questions or feedback regarding this repository, please contact me at nnitiwe@gmail.com.
Special thanks to all the contributors and the Nimble community for their continuous support and feedback.
Happy Scraping!