Frequently Asked Questions

We support 200+ platforms including marketplaces (Amazon, Walmart, eBay, Shopee, Mercado Libre), delivery (Uber Eats, Instacart, Talabat), travel (Airbnb, Booking), location (Google Maps), and any Shopify-powered store. New platforms are added monthly.

No. We offer a no-code interface for point-and-click data extraction, plus ready-made datasets you can download as CSV. For developers, we provide REST APIs with SDKs for Python, Node.js, Java, and Go.

JSON (default API response), CSV, Excel, and Parquet for bulk exports. Automated delivery to AWS S3, Snowflake, Google BigQuery, or any webhook endpoint is available on Growth and Enterprise plans.

Average response time is under 3 seconds for real-time extraction. Bulk and batch endpoints return results asynchronously with webhook notification on completion.

Yes. 1,000 free API calls with access to all endpoints and platforms. No credit card required. Start in under 5 minutes.

Each request to any endpoint counts as one API call. Bulk endpoints returning multiple items still count as one call per request. Scheduler management, webhook configuration, and delivery setup calls are free.

Yes. Upgrade instantly at any time. Downgrade takes effect at the end of your current billing cycle. No long-term contracts. Cancel anytime.

One-time datasets contain the latest data at time of delivery. Monthly subscriptions refresh daily or weekly depending on your plan. Enterprise plans support real-time extraction.

Yes. Free samples are available for every dataset covering a selected category with all standard fields included. Download from our Sample Datasets page — no credit card needed.

We extract only publicly available data from public web pages. We respect robots.txt guidelines, implement rate limiting, and follow ethical scraping practices. Our compliance guide covers the legal framework in detail.

ISO 27001:2013 for information security management and ISO 9001:2015 for quality management. We are SOC 2 ready with all required controls in place. Full details available in our Trust Center.

We follow data minimization principles. Our scrapers extract product data, pricing, and business information — not personal data. We are fully GDPR compliant and offer DPA agreements for enterprise clients.

E-commerce data scraping automatically extracts product details, pricing, reviews, seller information, inventory status, and search rankings from online marketplaces like Amazon, Walmart, Flipkart, Shopee, and Shopify stores. It powers competitive pricing, brand monitoring, and market intelligence for retailers and brands.

We support 75+ e-commerce platforms including Amazon (20+ marketplaces), Walmart, Target, Flipkart, Shopee, Lazada, Mercado Libre, eBay, Etsy, ASOS, Zalando, Noon, TikTok Shop, Temu, and any Shopify-powered store worldwide.

Yes. Our Growth and Enterprise plans provide hourly or near-real-time competitor price monitoring with automated alerts when prices change beyond your thresholds. Starter plans refresh pricing data daily.

Our AI-powered product matching engine uses UPC, EAN, title similarity, image matching, and attribute comparison to identify the same product across Amazon, Walmart, Target, and other platforms with 95%+ accuracy — enabling cross-marketplace price and content comparison.

Yes. On Amazon, Walmart, and other multi-seller marketplaces, we track which seller holds the Buy Box, how frequently it rotates, seller pricing strategies, and fulfillment method (FBA, FBM, WFS) — essential for brands monitoring their authorized seller network.

We extract restaurant profiles, full menu items with pricing, delivery fees, ETAs, customer ratings, review text, promotional offers, and delivery zone coverage from DoorDash, Uber Eats, Grubhub, Zomato, Swiggy, Talabat, Deliveroo, and 100+ food delivery platforms.

Yes. We monitor menu prices, item additions/removals, and promotional offers daily across all covered food delivery platforms — enabling QSR chains and restaurant groups to track competitor pricing strategies and optimize their own menus.

Yes. Food delivery pricing, fees, ETAs, and restaurant availability vary by delivery zone. We capture this zone-level granularity — showing you what a customer in one neighborhood sees versus another — critical for hyperlocal competitive intelligence.

Quick commerce scraping extracts product pricing, stock availability, delivery ETAs, and promotional offers from 10-30 minute delivery platforms like Blinkit, Zepto, Swiggy Instamart, BigBasket, Instacart, and Gopuff — at the dark store zone level.

Yes — this is our key differentiator. Quick commerce platforms show different pricing, stock, and ETAs based on the user's pin code and which dark store serves that area. We capture all of this location-specific data for true hyperlocal intelligence.

Hourly for Growth and Enterprise plans. Quick commerce pricing and inventory change frequently throughout the day — hourly refresh captures promotional windows, demand-driven pricing shifts, and stock depletion patterns that daily snapshots miss.

We extract product catalogs, shelf pricing, unit pricing (per oz/lb/kg), digital coupons, weekly ad deals, nutrition facts, stock availability, and private label data from Walmart Grocery, Kroger, Instacart, BigBasket, Tesco, ALDI, Costco, and 100+ grocery platforms.

Yes. We identify and track store brand products (Kroger Brand, Great Value, Simple Truth, Kirkland) separately from national brands — measuring price gap, share of shelf, and new private label launch activity for competitive private label intelligence.

Yes. We parse all digital coupons (clippable values, qualifying products, expiry dates) and weekly circulars (BOGO, price points, manager specials) into structured data — enabling promotional compliance monitoring and competitive deal tracking.

Yes. By tracking product weight, volume, and pack count alongside pricing over time, we identify shrinkflation events where the price stays constant but the quantity decreases — providing inflation intelligence for CPG brands and market researchers.

We extract product catalogs, pricing (including shade/size variants), reviews with skin type filters, ingredient lists (INCI), clean beauty certifications, trend signals, and competitive assortment data from Sephora, Ulta, ASOS, Myntra, Nykaa, Farfetch, and 200+ platforms.

Yes. We parse full INCI ingredient lists, track trending ingredients (retinol, niacinamide, peptides), monitor clean beauty adoption, and benchmark ingredient profiles across competitor products for R&D and marketing intelligence.

Yes. Farfetch, SSENSE, Net-a-Porter for luxury retail, plus Vestiaire Collective, The RealReal, and Rebag for luxury resale — tracking pricing, limited editions, authorized sellers, and gray market activity.

We extract property listings, Zestimate valuations, sold prices, rental data, agent profiles, mortgage rates, neighborhood analytics (Walk Score, schools, crime), and market trends from Zillow, Realtor.com, Redfin, Apartments.com, and 50+ real estate platforms across all 50 US states.

Yes. We provide 12-month rolling trends for median home values, inventory levels, days on market, list-to-sale ratios, and appreciation rates at the zip code, city, and metro level — essential for investors, appraisers, and market analysts.

Yes. Rental listings with pricing, lease terms, amenities, pet policies, and availability from Zillow Rentals, Apartments.com, and local platforms — supporting rental market analysis and property management intelligence.

We extract hotel rates, flight prices, vacation packages, car rental deals, traveler reviews, and availability from Booking.com, Expedia, Airbnb, Kayak, TripAdvisor, and 100+ OTA platforms across 70+ countries — powering rate parity monitoring and revenue management.

Yes. We compare the same hotel's rates across Booking.com, Expedia, Hotels.com, Google Hotels, and direct channels — detecting parity violations in near-real-time with automated alerts for revenue management teams.

Yes. Full Airbnb listing data — nightly rates, availability, reviews, host info, amenities, location, and booking policies. We also cover VRBO and regional vacation rental platforms for markets where alternative accommodation competes with hotels.

We extract stock prices (real-time and EOD), company fundamentals, SEC filings (10-K, 10-Q, 8-K), analyst ratings, dividend data, mutual fund NAVs, ETF holdings, crypto prices, and financial news from Yahoo Finance, Bloomberg, EDGAR, and 50+ financial data sources.

Yes. Buy/sell/hold consensus, individual analyst price targets, EPS estimates, and rating changes (upgrades/downgrades) from major Wall Street and global research firms — refreshed daily.

Yes. Token prices from 200+ exchanges, DeFi protocol yields, NFT marketplace data, and on-chain metrics. Growth plans include near-real-time crypto price feeds with WebSocket support.

AI-powered scraping intelligently identifies data patterns on dynamic and unstructured websites, automatically adapts to layout changes, handles CAPTCHAs, and classifies extracted content — reducing maintenance effort and improving accuracy from 95% to 99.9%.

Yes. Our AI scrapers use headless browsers with fingerprint randomization and behavior simulation to render JavaScript-heavy pages like single-page applications, React/Vue sites, and dynamically loaded content — extracting data that traditional scrapers miss.

We provide structured datasets for LLM training, image classification, price prediction, sentiment analysis, and product matching models — covering e-commerce, food, healthcare, finance, and 20+ domains with multi-language support and human verification.

We extract new and used car pricing, specifications, expert/user reviews, dealer inventory, on-road pricing by city, EMI options, and variant-level intelligence from CarDekho, Autotrader, Cars.com, CarGurus, KBB, and OEM websites.

Yes. Electric vehicle pricing, range, battery specs, charging time, and charging station locations with real-time availability and pricing from Tesla Supercharger, ChargePoint, EVgo, and Electrify America networks.

Yes. In India and other markets where on-road price differs by city (due to RTO, road tax, insurance), we extract city-specific on-road pricing for all major cities — critical for auto OEMs and dealers.

We extract full content catalogs, availability by country, IMDb/Rotten Tomatoes ratings, genre classification, cast/crew data, Netflix Top 10 rankings, and subscription pricing from Netflix, Disney+, Prime Video, HBO Max, Hulu, and 20+ streaming platforms.

Yes. We map which titles are available in which countries across 190+ Netflix markets and other platforms — enabling licensing analysis, geo-restriction mapping, and content library comparison for studios and distributors.

Yes. Plan names, pricing tiers, ad-supported vs premium, and feature differences tracked across all major streaming services — with automated alerts when platforms change pricing or packaging.

We extract publicly available data — posts, hashtags, engagement metrics (likes, comments, shares), follower counts, influencer profiles, and trending topics from major social platforms. All data is public-only — we never access private profiles or DMs.

We provide engagement rate benchmarks and identify accounts with anomalous engagement patterns (sudden follower spikes, abnormal like-to-comment ratios) that may indicate inauthentic activity — useful for influencer verification and brand safety.

Yes. Hashtag volume, velocity, trending detection, usage patterns, and competitive hashtag analysis across platforms — enabling brands to identify viral content early and optimize their social media strategy.

We extract article text, headlines, authors, publication dates, sentiment scores, entity mentions, and topic classification from 10,000+ news sources across 50+ languages — including Reuters, AP, Bloomberg, TechCrunch, and regional outlets.

Yes. Near-real-time article detection with webhook and Slack alerts for breaking news matching your criteria — brand mentions, competitor coverage, regulatory changes, and market-moving events.

We extract job listings, salary ranges, company profiles, skills demand signals, and hiring velocity from Indeed, LinkedIn, Glassdoor, ZipRecruiter, and 100+ job boards — powering talent intelligence, compensation benchmarking, and labor market analysis.

Yes. Salary ranges, compensation bands, equity mentions, signing bonuses, and benefits where listed — plus Glassdoor and Levels.fyi salary reports for tech and corporate compensation benchmarking.

We extract product pricing, expert ratings, tasting notes, availability by delivery zone, and promotional offers from Drizly, Vivino, Total Wine, Wine.com, ReserveBar, and 50+ liquor delivery platforms — with state-level pricing for US compliance requirements.

Yes. Expert scores from Wine Spectator and Robert Parker, user ratings from Vivino, and historical pricing for vintage appreciation tracking — supporting wine investment analysis and retail pricing strategy.

We extract fare estimates, surge pricing patterns, driver availability, delivery fees, ETAs, and service coverage from Uber, Lyft, Grab, Ola, and delivery platforms — enabling competitive pricing analysis and demand forecasting for mobility companies.

Yes. We monitor surge multipliers by time of day, day of week, event correlation, and weather impact — providing demand pattern intelligence for competitive pricing strategy and operational planning.

We extract product catalogs, pricing (regular, holiday, clearance), reviews, licensed product tracking (Disney, Marvel, LEGO, Pokémon), and seasonal trend data from Amazon, Walmart, Target, LEGO.com, and 50+ toy retailers worldwide.

Yes. 365-day price history per product enables identification of Black Friday patterns, Prime Day surges, back-to-school trends, holiday pricing peaks, and post-holiday clearance timing for optimal promotional planning.

We extract anonymized market-level intelligence — subscription pricing tiers, feature matrices, app store ratings, download trends, and safety feature benchmarks from Tinder, Bumble, Hinge, Match, and 20+ dating platforms. No individual user data is ever collected.

Yes. All subscription tiers (free, plus, premium, gold) with pricing by country, duration, and promotional offers — enabling competitive pricing analysis and market positioning intelligence for dating platforms.