
How to Scrape Zomato and Swiggy Data (Menus and Prices)
Scrape Zomato and Swiggy data that means something: pin the delivery coordinates, key every row by restaurant, pin and timestamp, and split the fee stack.
Everything tagged scraping api.

Scrape Zomato and Swiggy data that means something: pin the delivery coordinates, key every row by restaurant, pin and timestamp, and split the fee stack.

Scrape Vinted listings across vinted.fr, .de and .co.uk: the internal JSON API, cookie bootstrapping, per-market catalogue IDs, and GDPR-safe resale analytics.

How proxies for streaming catalog research track which titles are listed in which country, licensing window churn and regional price tiers. Metadata only.
How to size proxy pools for SERP scraping at scale: IP budgeting math, per-IP request pacing, concurrency control, retry amplification and cost modelling.
Scrape Ticketmaster event listings for price research and market analysis: the official Discovery API, its 1,000-item cap, and where the BOTS Act line sits.

Scrape Shopee and Lazada across six Southeast Asian markets: per-country JSON APIs, flash-sale timestamps, voucher math, seller tiers, and cross-market joins.

Scrape Mercado Libre product data properly: start with the api.mercadolibre.com REST API, then fill the gaps by site ID, currency, shipping and language.

Scrape IndiaMART supplier data for B2B market research: parse lakh and crore prices, MOQ and units, map supplier geography, and stay inside DPDP Act limits.

Scrape Alibaba product data at B2B depth: parse ladder pricing, normalize MOQ units, read supplier trust badges, and pivot rows from products to suppliers.

Scrape Google Scholar for papers, citations, and author profiles. Parse gs_ri result blocks and h-index data, page with start=, and survive the CAPTCHA wall.

Scrape Flipkart product data: pull prices, specs, ratings, and offers, decode pid and lid, clear the bot wall, and pin pincode pricing with a scraping API.

Scrape Medium articles cleanly: pull stories from RSS feeds, read the ?format=json payload past its XSSI prefix, and collect tags, authors, and clap counts.

Scrape OpenTable data that survives the next deploy: read ratings and reviews from each restaurant's JSON-LD, then pull availability from the GraphQL API.

Scrape Home Depot product data at scale: pull store-specific prices, Internet #, on-hand inventory, and reviews from its GraphQL API, past Akamai.

Web scraping vs API: when to use an official API and when to scrape. Compare cost, coverage, reliability, rate limits, and legality, plus the hybrid pattern.

Scrape Wayfair product data at scale: pull SKUs, per-option prices, reviews, and stock from the page JSON, and get past PerimeterX with a scraping API.

Scrape Shopify stores the easy way: pull products, variants, prices, and collections from the public /products.json endpoint, with a Cloudflare fallback.

Scrape App Store and Google Play data for ASO: pull app rankings, ratings, reviews, and metadata per country using iTunes JSON feeds and a scraping API.

Scrape Yellow Pages data into a clean local lead list: pull business names, phones, addresses, and categories with CSS extract rules and a scraping API.

Scrape Best Buy product data at scale: pull SKU, price, stock, and ratings from the page's JSON-LD, get past Akamai, and pin store pickup availability.

Scrape Google News with its free RSS feeds: pull headlines and articles, decode the redirected article links, and geo-target editions with hl, gl, and ceid.

Scrape Etsy product data the ethical way: pull title, price, shop, rating, reviews, sales count, tags, and variations via the Open API or a scraping API.

Scrape Google reviews the durable way: pull rating, text, date, reviewer, and owner response past the anti-bot wall, and know when the Places API is enough.

Scrape AliExpress product data: pull prices, orders, ratings, and SKU variations from window.runParams and get past the slider CAPTCHA with a scraping API.









