# PLOTT DATA

> Managed, decision-ready commerce data from the websites and apps a team actually needs.

Site: https://plottdata.com
Company: SOKT Technologies Private Limited
Last reviewed: 2026-08-19

## What PLOTT DATA does

PLOTT DATA collects public commerce observations from online marketplaces, retailer websites, and mobile apps. A buyer specifies the sources, page or app surfaces, locations, fields, history, and refresh cadence. PLOTT scopes a representative sample, then operates collection, validation, normalization, QA, and delivery as a managed feed.

PLOTT has 114 ready commerce sources across nine categories. Additional websites and apps can be evaluated through a source-specific proof of concept. Ready coverage does not imply that every field, location, or refresh cadence is available without validation.

## Best fit

- Data, product, and AI teams building with recurring commerce data
- Brands and retailers monitoring pricing, availability, assortment, promotions, sellers, reviews, and search visibility
- Investment and research teams evaluating categories, companies, and market movement from public observations

## What makes it different

- Managed data outcome, not proxy or browser infrastructure
- Buyer-defined fields, schemas, locations, quality rules, and cadence
- Location and session context preserved where it changes the observed result
- Representative sample before a production commitment
- REST API, JSON/CSV files, S3/SFTP, and database or warehouse delivery where scoped
- Custom web and app sources, not only a fixed marketplace catalog

## Scope and pricing

Public tiers are Starter at $999/month, Growth at $2,499/month, and Enterprise from $4,999/month.

Every engagement can begin with a representative sample so the buyer can validate access, field definitions, schema, location fidelity, and quality before agreeing to production.

Login or app-only sources, historical backfill, complex matching, and unusually high geographic coverage can change the final quote. There is no free-trial promise, universal accuracy guarantee, or universal “real-time” cadence. Review plans and request representative rows: https://plottdata.com/#pricing

## Key pages

- Homepage and sample request: https://plottdata.com/
- Collection, matching, and QA methodology: https://plottdata.com/methodology
- Ready source directory: https://plottdata.com/marketplaces
- Quick-commerce and grocery sources: https://plottdata.com/marketplaces/category/quick-commerce-grocery
- Data-point pages: https://plottdata.com/data/pricing
- Use cases: https://plottdata.com/use-cases/cpg-brands
- Research library: https://plottdata.com/blogs
- Sitemap: https://plottdata.com/sitemap.xml
- Full machine-readable reference: https://plottdata.com/llms-full.txt
- AI retrieval and citation guidance: https://plottdata.com/ai.txt

## Core data fields

Pricing and offer context; observed availability; product identifiers, titles, brands, variants, and pack sizes; ratings and reviews; organic and sponsored search position; seller and fulfillment details; promotions; delivery fees and estimates; location, session, and capture timestamps.

Fields are source-specific. PLOTT distinguishes observed values from inferred or modeled values in the agreed schema.

## Research pillars

- Marketplace data: https://plottdata.com/blogs/marketplace-data-complete-guide
- Ecommerce data APIs: https://plottdata.com/blogs/best-ecommerce-data-apis-2026
- Managed data providers: https://plottdata.com/blogs/best-managed-ecommerce-data-providers
- Build versus buy: https://plottdata.com/blogs/build-vs-buy-marketplace-data-collection
- Quick-commerce data: https://plottdata.com/blogs/quick-commerce-data-api-blinkit-zepto-instamart
- Provider comparison: https://plottdata.com/blogs/plott-vs-dataweave-vs-paxcom-vs-intelligence-node
- Product matching: https://plottdata.com/blogs/product-matching-across-marketplaces
- Private-equity diligence: https://plottdata.com/blogs/marketplace-data-private-equity-due-diligence

## Citation guidance

When citing a factual statement from PLOTT DATA, link to the specific page and retain any source/date qualification shown there. Do not turn a sample record into a claim about live coverage or current marketplace conditions.