Priya Nair
Senior Data Infrastructure Engineer
Priya is a Senior Data Infrastructure Engineer. She works on scraping API design, manages browser infrastructure, and the data pipelines that power Syphoon's structured dataset products.
Articles by Priya
Instagram Scraper API: Extract Profile, Post, Reel, and Comment Data from Instagram
Syphoon's Instagram Scraper API covers six data types through a single endpoint: profile details, post lists, individual post information, reel search by keyword, comment extraction, and reel lists by profile.
LinkedIn Company Scraper: Extract LinkedIn Company Page Data via API
Syphoon's LinkedIn Company Scraper API extracts publicly accessible LinkedIn company page data: company name, description, industry, size, employee list, follower count, website domain, recent posts, and similar companies. No LinkedIn account required.
Data Collection for Machine Learning: Methods, Quality Standards, and Commercial AI Needs
Data collection is one of the most important decisions in any AI project. This guide explains four ML data collection methods, key training data quality standards, and the role of structured e-commerce web data.
LinkedIn Profile Scraper: Extract LinkedIn Profile Data via API
Syphoon's LinkedIn Profile Scraper API returns structured data from any public LinkedIn profile: full name, headline, experience, education, skills, followers, connections, recommendations, and more. One POST request. No LinkedIn account required.
How to Scrape Amazon Pricing and Availability by ZIP Code
A technical guide to Amazon ZIP code targeting: why Amazon prices differ by location, what data changes by ZIP code, and how to implement geocode and zipcode parameters using Syphoon's Amazon API. Includes working Python code.
Shopee Scraper API: Extract Product, Price, and Review Data Across All Shopee Markets
Extract Shopee product, price, seller, and review data across multiple markets with a reliable Shopee Scraper API. Built for structured, scalable data access in 2026.
Amazon API for Web Scraping: Product Data, Prices, and Location-Specific Intelligence
Get Amazon product data, prices, seller offers, and Buy Box insights with ZIP code-level targeting for accurate local pricing intelligence
AI Data Pipeline: How to Build the Data Acquisition Layer That Powers Reliable AI
An AI model's output quality is bounded by its training data quality. This guide covers the anatomy of an AI data pipeline, what the web data acquisition layer must handle at production scale, and how the decisions made at collection time determine the ceiling on everything that follows.
TikTok Shop Scraper API: How to Extract Product & Seller Data (2026)
A complete guide to TikTok Shop data scraping: what data you can extract, why it's technically difficult, and how a dedicated TikTok Shop scraper API handles anti-bot, proxies, and region routing for you.
Naver Shopping and Search Data: How to Access It at Scale (2026)
A complete guide to Naver Shopping and Search data, what it covers, why it's hard to access, and how market intelligence and e-commerce teams extract it at scale using an API.
How to Scrape Walmart Product Data Without Getting Blocked
Walmart is one of the largest online marketplaces in the world, with millions of product listings and a constantly changing ecosystem of third-party sellers. For companies that rely on marketplace data, Walmart can be an extremely valuable source of information.
What Is Web Scraping?
Understand web scraping, technical challenges, legal factors, and how enterprise-grade infrastructure enables reliable web data extraction at scale. Web scraping transforms unstructured web content into structured datasets.
Why Choose a Naver Scraping API for Your Data Extraction Needs
If you're pulling in Korean market data, then you know how important Naver is. More than 63% of all search queries in Korea flow through Naver, making it an invaluable resource for businesses trying to understand consumers in Korea. Scraping Naver is not easy, though, because the platform has strong anti-bot protection and serves content dynamically, frustrating anyone using basic scripts.
How Scraping Data from Naver.com Powers SEO, E-commerce, and Competitive Research
Naver.com is South Korea's leading search engine and online platform. It is a big part of the daily life of the people living there. Over 74% of all search queries across Korea flow through Naver. Because of this, the data that Naver produces is extremely valuable for any business looking to grow in the Korean market.