Pricing & Promotions
Brand & Intelligence
Digital Shelf & Search
Assortment
For Retailers
E-Commerce Dashboard
Flipkart Insights (Live) 
Grocery Intelligence.svg)
Grocery Price (U.S.).svg)
Quick Commerce (India) 
Food & Restaurant
Fashion Intelligence
Automotive
Travel & Hospitality
Real Estate
Food Delivery Intelligence 
OTT & Streaming 
By Use Case
Pricing Intelligence
Digital Shelf Analytics
MAP Monitoring 
Cross-Border Price Parity 
Share of Search
Review Sentiment
Kitchen Market Gaps 
Dynamic Pricing / AI Repricing 
Promotions & Deals Alerts 
B2B / POI & Lead Data 
By Region
Flipkart Real-Time Insights
Quick Commerce — Zepto · Blinkit
Pincode Price Tracker
GCC Q-Commerce — Talabat · Noon 
UK Grocery — Tesco, Sainsbury's, Asda
AU Grocery — Coles & Woolworths 
Marketplace Scrapers
Developer APIs
Universal APIs
Delivery & SDKs
Knowledge Center
Guides & Playbooks
Downloads & Tools
Trust & CompanyBuy web datasets online — from $49, downloaded in minutes
2,028 datasets across retail, quick commerce, grocery, travel and real estate in 29 countries. 264 run on live daily pipelines and can be bought right now — choose how many records you need, pay by card, download today. Every dataset has a free 100-row sample, and four are completely free.
What is available right now
We only mark a dataset ready to buy when the pipeline already runs daily and the schema is frozen. That number will grow — but we would rather it stay honest than look bigger.
Blinkit India Daily Q-Commerce Dataset
Pay only for the records you need · delivered in minutes
How to buy a dataset from Actowiz
Two routes. The badge on every dataset tells you which one applies before you click anything.
100 rows of the real file, same schema you will receive. No signup, no card.
Only need a quarter of the catalogue? Pay a quarter. The slider sets both.
Stripe checkout. GST or VAT applied automatically on the invoice.
File lands in your account with an API key. Cancel any time.
Same 100-row sample so you can check schema and quality first.
Fields, geography, refresh, history. The dataset is pre-filled on the form.
A fixed monthly price, not a range. Most sit between $200 and $2,000 a month.
Pipeline built, validated against your sample, delivered wherever you want it.
Field fill rates, published before you pay
Public sources have gaps. Rather than let you discover that after purchase, we publish what percentage of rows actually carry each field. Example below is the Blinkit daily dataset.
| Field | Type | Fill rate | What it means |
|---|---|---|---|
| selling_price | decimal | 100% | Present on every row without exception |
| pincode | string | 100% | Every capture is keyed to a pin-code |
| brand | string | 96.2% | Missing where the platform lists no brand |
| mrp | decimal | 91.4% | Not shown on some private-label products |
| pack_size | string | 88.7% | Loose produce carries no pack text |
| unit_price | decimal | 88.7% | Derived, so it follows pack_size |
| rating | decimal | 62.4% | Only on SKUs with at least one review |
How Actowiz datasets compare
An honest read of where we are stronger and where a larger marketplace still wins.
| What matters | Actowiz | Large data marketplaces | Building it yourself |
|---|---|---|---|
| Free sample before paying | ✓ 100 rows, every dataset | ✓ Usually | n/a |
| Pay only for records you need | ✓ Slider at checkout | ✓ On some | n/a |
| Field fill rates published | ✓ Every field | Partial | You find out later |
| Pin-code / store-level granularity | ✓ Where the platform exposes it | Rarely | ✓ If you build it |
| Breadth of ready-made sources | 264 instant, 2,028 listed | 200+ instant | Whatever you build |
| New source built to spec | ✓ About 7 days | Often not offered | 4–12 weeks |
| Ongoing maintenance cost | Included | Included | 1–2 engineers |
Dataset categories we cover
Each category shows how many datasets exist and how many you can buy without talking to anyone.
E-commerce Datasets
Product prices, stock levels, discounts and reviews across Amazon, Walmart, Flipkart and Best Buy.
Quick Commerce & Grocery
Basket pricing, delivery SLAs, platform fees and promos across Blinkit, Zepto, Instacart and DoorDash.
Travel & OTA Datasets
Hotel pricing, airline fares, availability and reviews across Booking, Expedia and Skyscanner.
Real Estate Datasets
Property listings, pricing trends and rental availability across Zillow, Realtor, MagicBricks and Bayut.
Food & Restaurant Datasets
Menu details, pricing trends, ratings and delivery insights for F&B brands and aggregators.
OTT & Streaming Datasets
Subscription pricing, content catalogues and trending titles across Netflix, Disney+ and Prime.
Social Media Datasets
Engagement metrics, trending topics, influencer activity and sentiment for brand monitoring.
Business Information Datasets
Company profiles, financials, ownership and key contacts for B2B research and competitor analysis.
Directories Datasets
Listings of businesses, professionals and services for local search and contact databases.
What is a ready-to-use web dataset?
A ready-to-use web dataset is a structured file of publicly available web data — product prices, stock levels, listings, reviews or fares — that has already been collected, cleaned, deduplicated and normalised into a fixed schema. Instead of building and maintaining crawlers, you download a CSV, JSON or Parquet file and start analysing.
The practical difference between a dataset and a scraping service is who carries the maintenance. A source changes its layout every few weeks; with a dataset, fixing that is our problem, and the schema you receive stays identical.
How much does a web dataset cost?
On Actowiz, ready-to-buy datasets start at $49 for a limited record set and $499 a month for a full daily feed of roughly 1.4 million records, which works out at about $0.0004 per record. Because you set the record limit at checkout, a dataset that looks too expensive at full volume usually is not once you narrow it to the cities, categories or SKUs you actually need.
Datasets built to your specification are priced individually, typically between $200 and $2,000 a month depending on refresh cadence, geography and field count. That price is fixed for 30 days once quoted.
Should you buy a dataset or build a scraper?
Build if the source is central to your product, unusual, and you already run a data engineering team. Buy if the data is an input to a decision rather than the product itself. The honest maths: a single ecommerce source usually costs one to two engineer-weeks to build and roughly a day a month to maintain, before proxies. Below about $2,000 a month of dataset spend, buying almost always wins.
Is web scraping for datasets legal?
Collecting publicly available data is generally lawful in most jurisdictions, but the details matter. Actowiz collects only public pages, respects robots.txt and site terms, holds no personal data, and aligns with GDPR and CCPA. We are ISO 9001 and ISO 27001 certified, and every dataset carries documented provenance so your legal team can review the source before you buy.
What formats and delivery methods are supported?
Every dataset is available in CSV, JSON and Parquet. Delivery options are direct download, REST API, Amazon S3, Google Cloud Storage, Snowflake, BigQuery and SFTP. Subscriptions include the last 30 days of history, with backfill available up to 12 months on most sources.
