Ivy Lin
Community & Content Lead
Ivy Lin leads community engagement and content strategy at Nstdata. She works closely with developers, marketers, and data professionals to create educational resources that simplify complex proxy and data collection concepts. Her writing covers industry trends, best practices, product guides, and real-world applications of proxy technology across different industries.
All Articles

Web Data Honing Unique Selling Proposition Usp: Concepts, Use Cases, and Production Considerations
A USP earns trust when the promise is valuable, distinctive, and provable. This guide shows how to use public offer data to test each condition.

Crawl + LLM: Summarize Any Website on Demand
A complete Crawl plus LLM summarization tutorial for one page and entire sites, with chunking, validation, and cost guidance.

How Web Data Helps Teams Address Supply Chain Challenges
A practical framework for using public web signals to investigate supply chain risks, preserve evidence, verify alerts, and measure operational value.

Minimum Advertised Price Monitoring: A Practical Guide
A practical guide to building a MAP monitoring workflow, distinguishing advertised prices from selling prices, and reviewing potential exceptions responsibly.

From URL to Answer: A Complete RAG Demo with Crawl API
A step-by-step Python RAG demo that fetches a URL, validates Markdown, chunks content, stores vectors in Chroma, and answers with source citations. The examples make failure states, provenance, and untrusted page content explicit.

Crawling Documentation Sites for LLM Context (Best Practices)
Best practices for discovering and crawling documentation URLs, preserving code and tables, managing versions, and validating LLM-ready Markdown. It includes a practical validation checklist for Markdown output and page coverage.

Building a Company Knowledge Base from Your Docs Site
A developer-focused guide to turning a company docs site into a version-aware, source-cited knowledge base, with crawling, metadata, access controls, and evaluation. It also explains how to separate public content from permission-controlled internal documents.

Feeding Your RAG System with Fresh Web Data (Step by Step)
A practical guide to a fresh web-to-RAG ingestion pipeline. It covers source selection, Markdown validation, chunking, embeddings, retrieval, citations, and a safe update path.

Python Pagination: How to Collect Data Across Paginated Pages
A practical Python pagination tutorial covering limit/offset APIs, cursor tokens, HTML next links, infinite scroll boundaries, retry handling, deduplication, and CSV export.


