Lena Zhou
Growth & Integration Specialist
Lena Zhou is a Growth & Integration Specialist at Nstdata, focused on helping businesses leverage proxy technology for scalable data collection, automation, and global operations. With experience in product adoption, platform integrations, and growth strategies, she shares practical insights on proxy use cases, market intelligence, web scraping workflows, and digital expansion.
All Articles
Reduce Website Tracking With Browser and Network Controls
Website tracking uses cookies, scripts, redirects, fingerprints, accounts, and network identifiers. This guide applies the highest-value browser controls first and explains how to handle breakage with narrow exceptions.
Clean LTE Proxy Setup for Windows and Mac-Stepwise Guide
This tutorial starts with the live endpoint details available inside a Clean LTE account and avoids inventing undocumented dashboard paths. It covers Firefox, Windows, macOS, verification, and common failures.
7 Best Web Scraping Tools for Every Collection Layer
Scraping tools occupy different layers, so direct feature counts mislead. This guide compares seven options by rendering, discovery, output, operating ownership, and failure visibility.
What Is a Web Index? Architecture, Crawling, and Retrieval 2026
A web index is the retrieval layer built after pages are discovered, fetched, normalized, and accepted. This guide explains index types, document identity, freshness, and why crawling must precede indexing.
Automated Price Tracking in Python: A Full Guide
A dependable price tracker is an observable pipeline, not a one-selector script. This tutorial implements collection, normalization, history, change detection, scheduling, and alert safeguards in Python.
How to Build an E-Commerce Intelligence App with GLM-4.6
A reliable e-commerce intelligence app separates page acquisition from extraction and model reasoning. This tutorial shows how to collect product evidence, normalize observations, and let GLM-4.6 interpret only validated changes.
Agent Harnesses Explained: The System Around the Model
An agent harness is the operational software around a model: tools, memory, execution, orchestration, policy, and verification. The article explains each component and walks through a web research harness as a concrete example.
8 Perplexity Alternatives for Search, Research, and RAG
The right Perplexity replacement depends on whether the real need is quick web answers, deep reports, academic evidence, privacy, self-hosting, or infrastructure control.
Python Libraries Data Analysts Actually Need
A useful analytics stack starts with the job, data shape, and delivery format—not the longest package list. This guide compares ten libraries on consistent criteria and shows where bounded web collection belongs before pandas.
