275 questions we hear from the teams that run on web data - hotels and OTAs, marketplace and quick-commerce brands, food delivery, insurance, reviews, AI answers and social - answered directly, without the sales pitch.
How hotels track competitor rates across OTAs: which channels to shop, how often, how far ahead, comp sets, room matching and data accuracy.
10 questionsWhat a rate shopper is, rate shopper vs scraper, ARI, BAR and LOS, final payable price, logged-in vs anonymous rates, and whether rate shopping is legal.
6 questionsHow to check if OTAs undercut your website, verify parity violations automatically, read member-price gaps, and tell real undercuts from tax or currency display differences.
6 questionsWhen to match a competitor's lower rate, how to price when competitors sell out, how far to trust your RMS, and whether to benchmark published or achieved rates.
4 questionsWhether a paid rate shopper is worth it for a small hotel, what rate shoppers cost, alternatives to the big platforms, and what to look for before you commit.
4 questionsHow OTAs monitor competing platforms' prices, how aggregators match hotels, measuring price competitiveness, detecting price changes and handling member prices at scale.
9 questionsRate shopping API vs data feed, sizing daily price checks, cutting cost at scale, delivery formats, adding new sources, and tracking flights and packages.
8 questionsWhether to build in-house scraping or buy rate data, why large-scale hotel price scraping is hard to keep reliable, evaluating providers, and compliance questions to ask.
6 questionsWhere revenue management firms source competitor rate data, using one feed across clients, comparing providers, protecting client relationships and managing provider risk.
10 questionsHow revenue management consultancies serve more hotels with the same team: automated reporting, one-page client reports, benchmarking, alerts and pricing the service.
8 questionsHow to track competitor prices on Amazon, Buy Box data, MAP monitoring, price history, reviews, search rank, stock-outs and what the official API does and doesn't give.
10 questionsTracking prices on Flipkart, Big Billion Days monitoring, seller and MAP tracking, reviews, pincode serviceability and comparing products across Flipkart and Amazon.
8 questionsHow quick-commerce data differs from e-commerce: pincode-level prices and availability, dark-store assortment, delivery fees, share of search and refresh rates for Blinkit, Zepto and Instamart.
10 questionsMAP monitoring, matching SKUs across marketplaces, tracking promotions and unauthorized sellers, D2C store monitoring, build vs buy and what price intelligence costs.
10 questionsHow insurers and aggregators benchmark motor premiums: standardised quote profiles, normalising IDV, NCB and add-ons, channel differences, refresh rates and compliance care.
10 questionsBenchmarking term insurance premiums, what moves life premium comparisons, keeping premium tables fresh, tracking riders and product changes, and how distributors use the data.
7 questionsMonitoring Google reviews across many locations, benchmarking against local competitors, review velocity, sentiment analysis at scale and why the official API doesn't cover competitors.
8 questionsTracking what Gemini, ChatGPT and other AI assistants say about your brand: what to measure, how often answers change, AEO vs SEO and how to improve your AI presence.
8 questionsWhether a Google Images API exists, getting image search results as data, counterfeit detection with product images, business-listing photos, and the copyright line.
7 questionsWhat the Places and Business Profile APIs actually return, why you only get a handful of reviews, how to get all reviews for any place, competitor reviews at scale and detection speed.
8 questionsWhat public data brands can collect from Instagram, YouTube, TikTok, X and LinkedIn: influencer vetting, share of voice, trend detection, comment mining and the privacy rules that apply.
10 questionsWhat Instagram's official APIs cover, how brands get public Instagram data, what's collectable vs off-limits, influencer vetting data, freshness and the legal picture.
8 questionsIs there an official or free Google Flights API, how to get flight price data from Google Flights, what can be extracted, freshness, legality and choosing a provider.
8 questionsWhether an official or free Google Hotels API exists, how to get cross-channel hotel prices from Google Hotels, price accuracy for Hotel Ads and choosing a data provider.
8 questionsDoes Booking.com have a public or free API, how to get rates programmatically, what data can be collected, why prices change between checks and how often to collect.
7 questionsWhether Agoda offers a public or free API, what rate data can be collected, handling Agoda's promotional pricing and the right refresh cadence for Asian markets.
6 questionsDoes MakeMyTrip have a public API, how to get MakeMyTrip hotel rates and flight fares as data, handling coupon-led pricing and the refresh cadence Indian OTAs need.
7 questionsWhat Expedia's partner APIs do and don't offer, whether a free API exists, collecting Expedia rate data, brand differences within Expedia Group and refresh cadence.
6 questionsWhether Goibibo has a public API, getting Goibibo hotel rates as data, why Goibibo and MakeMyTrip prices differ despite one parent, and the right refresh cadence.
5 questionsScrapeGuys builds and operates production scraping APIs that return clean, structured JSON - and takes custom targets live in 48-72 hours.