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Web Scraping Guides

Practical, no-fluff guides on collecting data from the sites people ask about most.

How to Scrape Competitor Prices

Every online seller wants the same thing, to know what competitors charge and to react before the sale moves. Price scraping is how you get there, but a product page hides a lot more than a single number, and the sites worth watching are the ones that fight back hardest. This guide covers what price data actually lives on a product page, how it differs across Amazon, Walmart, Shopify, Etsy, Google Shopping and eBay, how to capture it on a schedule so you see trends instead of a one-off snapshot, and the honest line between building a price scraper yourself and having the feed delivered.

How to Scrape Etsy Prices and Listing Data

Etsy is where handmade, vintage, and made-to-order sellers compete, and because so much of it is one of a kind, pricing and availability move in ways a big retail site never does. If you sell on Etsy, source from it, or track a category, that catalog is full of pricing, demand, and assortment signals. This guide covers what data lives on an Etsy listing, the things specific to Etsy that quietly break a scrape, how to capture it on a schedule, and the honest line between building an Etsy scraper yourself and having the feed delivered.

How to Scrape eBay Prices and Sold Listings

eBay is two markets in one, fixed-price Buy It Now listings and live auctions, and that split changes what a scraped price even means. On top of that, the number most sellers actually want, what an item really sold for, is not on the live listing at all. This guide covers what data lives on an eBay listing, the things specific to eBay that trip up a scrape, how to capture it on a schedule, and the honest line between building an eBay scraper yourself and having the feed delivered.

How to Scrape Google Shopping Prices

Google Shopping is less a store and more a price-comparison board: one product, listed by many merchants, each at its own price. That makes it the fastest way to see where you rank against everyone selling the same item, and it is exactly why the data is shaped differently from a single storefront. This guide covers what data lives in a Google Shopping result, the things specific to it that break a scrape, how to capture it on a schedule, and the honest line between building a Google Shopping scraper yourself and having the feed delivered.

How to Scrape Amazon Prices and Stock Data

Amazon is the single most requested source in e-commerce data work, and one of the harder ones to collect reliably at scale. This is a deep, practical walk through what data is worth capturing, exactly where each field lives in the page HTML, why Amazon gives you no clean data API to lean on, the challenges that quietly break feeds, and how to get a dependable price and stock feed without babysitting a scraper, whether you build your own Amazon price scraper or have one delivered. The worked example below uses a real Amazon listing, so you are seeing the actual page structure rather than a simplified stand-in.

How to Scrape Flipkart Product and Price Data

Flipkart is a core source for anyone selling in India, and its pages carry rich product and pricing data. This guide covers what to capture, the challenges specific to Flipkart, and how to turn it into a monitoring feed you can act on.

How to Scrape Myntra Product and Price Data

Myntra is the go-to source for fashion pricing and availability in India, where the best sale prices and restocks move within minutes. This guide covers what a Myntra scraper should capture and how to track it fast enough to matter.

How to Scrape Walmart Product and Price Data

Walmart is the largest retailer in the US and a source almost every online seller and D2C brand needs to watch, and it is also one of the harder retail sites to collect from reliably. This guide covers what data lives on a Walmart product page, the challenges that are specific to Walmart, how to capture it on a schedule, and where the honest line sits between building it yourself and having it delivered.

How to Scrape Shopify Stores: Catalog, Product, and Price Data

Shopify powers millions of storefronts, and because every one of them runs on the same platform, they share a data layer that is unusually consistent and, in most cases, openly accessible. If you sell against Shopify brands, source from them, or track a category, that catalog is a rich source of pricing, assortment, and stock signals. This guide covers what data actually lives on a Shopify product page, the practical challenges specific to Shopify stores, how to capture it on a schedule, and an honest look at building it yourself versus having it delivered.

How to Scrape Nykaa Product Prices, Discounts, and Stock

Nykaa is one of India's largest beauty retailers, so its pricing, discounts, and stock are a live signal for any brand or seller competing in the category. This guide covers what actually lives on a Nykaa product page, the challenges that make it harder to scrape than a typical retail site, how to capture it reliably on a schedule, and an honest look at building it yourself versus having it delivered.

How to Scrape Blinkit, Zepto, and Instamart Price Data

Blinkit, Zepto, and Swiggy Instamart have turned grocery and FMCG pricing into a live, hyperlocal market, where the same product can carry a different price and a different stock status a few kilometres apart. This guide covers what data these apps actually expose, why quick commerce is harder to collect than a normal marketplace, and how to turn it into a monitoring feed you can act on.

How to Scrape Amazon Reviews and Ratings at Scale

Amazon reviews are some of the most valuable feedback data in e-commerce, and since late 2024 they have also become some of the hardest to collect at scale. This guide covers what data actually lives on a review, where each field sits in the page HTML, the challenges specific to Amazon, how to capture reviews on a schedule without re-pulling everything each time, and an honest look at whether to build your own Amazon review scraper or have a clean feed delivered.

How to Scrape JustDial Business Listings and Leads

JustDial is India's largest local business directory, which makes it one of the richest public sources of B2B and local lead data: business name, category, area, phone, and rating across almost every city and trade. This guide covers what a listing actually holds, exactly where that data lives, why the site fights automated collection, and how to turn it into a clean lead list without babysitting a scraper. The worked example uses a real JustDial search, so you are seeing the actual structure.

How to Scrape IndiaMART Supplier and B2B Lead Data

IndiaMART is India's largest B2B marketplace, which makes it one of the deepest public sources of supplier and lead data: company name, city, product, price, and contact across almost every product category. This guide covers what a supplier listing holds, where that data lives, the challenges of collecting it at scale, and how to turn it into a clean supplier or lead list without babysitting a scraper. The worked example uses a real IndiaMART category, so you are seeing the actual structure.

How to Scrape Carvana Used Car Inventory and Prices

Carvana is one of the largest online used-car retailers, and its listings are a rich public source of vehicle inventory and pricing data: year, make, model, trim, mileage, price, and VIN across thousands of cars. This guide covers what a listing holds, exactly where the data lives, why the site is defended, and how to turn it into a clean inventory feed without babysitting a scraper. The worked example uses a real Carvana listing.

How to Scrape Instacart Grocery Prices and Product Data

Instacart aggregates grocery catalogs from many retailers, which makes it a rich public source of grocery price and availability data, priced by store and delivery location. This guide covers what a product listing holds, where the data lives, why every price is location and retailer specific, and how to turn it into a clean price feed without babysitting a scraper. The worked example uses real Instacart products.

How to Scrape LoopNet Commercial Real Estate Listings

LoopNet is the largest commercial real estate marketplace, which makes it a rich public source of CRE listing data: property, address, asking rent or price, size, type, and broker across markets nationwide. This guide covers what a listing holds, where the data lives, why the site is defended, and how to turn it into a clean CRE feed without babysitting a scraper. The worked example uses a real LoopNet search.

How to Scrape TradeIndia Supplier and B2B Lead Data

TradeIndia is one of India's largest B2B marketplaces, which makes it a deep public source of supplier and lead data: company name, city, product, and contact across almost every trade. This guide covers what a supplier listing holds, where that data lives, the challenges of collecting it at scale, and how to turn it into a clean supplier or lead list without babysitting a scraper. The worked example uses a real TradeIndia search.

How to Scrape ExportersIndia Supplier and Exporter Data

ExportersIndia is a large B2B directory of Indian suppliers and exporters, which makes it a rich public source of sourcing and lead data: product, company, city, price, and contact across thousands of categories. This guide covers what a listing holds, where the data lives, the challenges of collecting it cleanly, and how to turn it into a usable supplier list. The worked example uses a real ExportersIndia category.

How to Scrape Sulekha Local Business Listings and Leads

Sulekha is one of India's largest local services directories, which makes it a rich public source of local lead data: business name, category, area, rating, and contact across cities and trades. This guide covers what a listing holds, where the data lives, why the site fights automated collection, and how to turn it into a clean lead list. The worked example uses a real Sulekha search.

How to Scrape 99acres Property Listings and Prices

99acres is one of India's largest property portals, which makes it a rich public source of real estate data: price, size, configuration, locality, and listing details across sale and rent. This guide covers what a listing holds, where the data lives, the challenges of collecting it cleanly, and how to turn it into a monitoring feed. The worked example uses a real 99acres search.

How to Scrape NoBroker Rental and Property Listings

NoBroker is a large India property platform built on direct owner listings, which makes it a rich public source of rental and sale data: rent, deposit, size, configuration, and locality, often straight from the owner. This guide covers what a listing holds, where the data lives, the challenges of collecting it cleanly, and how to turn it into a monitoring feed. The worked example uses a real NoBroker search.

How to Scrape Crexi Commercial Real Estate Listings

Crexi is one of the largest US commercial real estate marketplaces, which makes it a rich public source of CRE data: property, address, asking price, size, and broker across sale and lease. This guide covers what a listing holds, where the data lives, the challenges of collecting it cleanly, and how to turn it into a CRE feed. The worked example uses a real Crexi listing.

How to Scrape CarGurus Used Car Listings and Prices

CarGurus is one of the largest used-car marketplaces, and its listings are a rich public source of vehicle inventory, pricing, and its own deal ratings: year, make, model, mileage, price, and how good a deal it is. This guide covers what a listing holds, where the data lives, why the site is defended, and how to turn it into a clean inventory feed. The worked example uses a real CarGurus listing.

How to Scrape Thomasnet Supplier and Manufacturer Data

Thomasnet is the leading US industrial sourcing platform, which makes it a rich public source of supplier and manufacturer data: company, location, capabilities, certifications, and firmographics across every industrial category. This guide covers what a listing holds, where the data lives, the challenges of collecting it cleanly, and how to turn it into a supplier or lead list. The worked example uses a real Thomasnet search.

How to Scrape Resy Restaurant Data and Availability

Resy is a major restaurant reservation platform, which makes it a rich public source of restaurant data: venue, cuisine, rating, price tier, neighborhood, and live table availability across cities. This guide covers what a listing holds, where the data lives, the challenges of collecting it cleanly, and how to turn it into a feed for restaurant lead-gen or availability monitoring. The worked example uses a real Resy venue.

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