A collection of code snippets, templates, and hands-on examples showcasing how to leverage Nimble’s web data infrastructure and AI-powered capabilities for real-world data workflows.
Nimble enables businesses to harness the full potential of public web data by automating collection, evaluation, and decision-making in real time. This cookbook provides practical, ready-to-use examples to help developers build scalable data pipelines and intelligent workflows using Nimble’s technologies.
- Ready-to-run examples for common data workflows
- Composable recipes you can adapt to your own needs
- Best practices for using Nimble’s APIs and platform effectively
Whether you're building training datasets, tracking competitors, or feeding real-time insights into AI systems—there's something here for you.
Nimble provides a robust ecosystem for data collection and automation:
- Web API - JavaScript rendering, DOM interaction, network traffic capture, and HTML/data parsing
- Platform Solutions - Online Pipelines and Knowledge Cloud for turnkey data collection
- AI-Powered Features - Intelligent components like browserless drivers, LLM optimization models, and custom parsing skills
- Proxy Layer - Built-in tools for geotargeting, IP rotation, and sticky sessions for reliable access
- Browse the repository to find examples relevant to your use case
- Clone this repository:
git clone https://github.com/nimbleway/cookbook.git - Follow the instructions within specific examples to run them
- Visit Nimble Documentation for complete API references
These recipes support diverse industries and technical goals:
- Retail & CPG: Monitor market trends, competitor pricing, and optimize product placement
- Finance: Track economic signals, assess risk factors, and support investment strategies
- Marketing: Analyze brand visibility, monitor SEO/SEM performance, and capture audience sentiment
- AI & Data Science: Collect high-quality training data, improve LLM outputs, and reduce hallucinations
We’d love your help expanding the cookbook! If you have a recipe or example that might benefit others:
- Fork the repository
- Create a new branch with your feature or example
- Submit a pull request with a brief explanation of your recipe