Favicon of PLOTT DATA

PLOTT DATA

Collects, validates, normalizes, and delivers commerce data from websites and apps through API, files, or database feeds.

Screenshot of PLOTT DATA website

PLOTT DATA provides decision-ready commerce data for teams that need structured information from websites and apps without building their own data collection pipeline. It combines ready-made sources with custom coverage and delivers clean, structured rows through APIs, files, or database feeds.

The platform is designed for teams tracking marketplaces, retail catalogues, pricing, availability, rankings, and other commerce signals across different locations and sessions. It handles collection, validation, normalization, and delivery so teams receive consistent data instead of having to work with raw source output.

Key Features

Structured Commerce Data

Collect standardized commerce information from websites and apps in a consistent schema.

  • Product IDs
  • Product titles
  • Prices
  • MRP
  • Availability
  • Rankings
  • Sponsored status
  • Source identification
  • Capture timestamps

Location & Session Context

Capture commerce data with the context needed to understand differences across markets and sessions.

  • Location fields
  • Session-related fields
  • Source information
  • Capture timestamps
  • Multi-location collection

Raw Data Preservation

Keep source-level information alongside normalized values.

  • Cleaned structured fields
  • Original source fields
  • Stable schema
  • Data suitable for downstream analysis

Ready-Made Sources

Access a catalog of prepared commerce sources without building individual collection pipelines.

The catalog includes 131 ready sources across areas such as:

  • Grocery
  • Marketplaces
  • Resale
  • Fashion
  • Electronics
  • Beauty
  • Food delivery
  • Other commerce websites

Custom Data Coverage

Request sources that are not already included in the existing catalog.

This allows teams to define the websites, fields, locations, and collection requirements they need for their own commerce intelligence workflows.

Sample Data & Validation

Receive sample rows before ongoing delivery begins.

  • Define required sources
  • Specify fields
  • Select locations
  • Set collection cadence
  • Review sample output
  • Continue with the agreed delivery setup

Multiple Delivery Formats

Receive commerce data through the delivery method that fits your existing stack.

  • API
  • CSV
  • JSON
  • S3
  • Data warehouse delivery

Built For Commerce Data Teams

PLOTT DATA is designed for teams that need reliable commerce information without building and maintaining their own collection infrastructure.

It is particularly suited to:

  • Product teams tracking marketplace and catalog changes
  • Pricing teams monitoring prices and MRP
  • Operations teams tracking availability and rankings
  • Analytics teams working with structured commerce feeds
  • Retail teams comparing products across locations
  • Market intelligence teams monitoring commerce signals

Common Use Cases

Price Monitoring

Track product prices and MRP across marketplaces, retailers, and locations.

Availability Tracking

Monitor whether products are available across different sources and markets.

Marketplace Intelligence

Collect structured information from multiple commerce platforms for analysis and comparison.

Product Catalog Monitoring

Track product IDs, titles, pricing, availability, and other catalog attributes over time.

Rank Tracking

Monitor product rankings and sponsored positions across supported commerce sources.

Multi-Location Commerce Analysis

Collect the same commerce signals across different locations and sessions to identify market-level differences.

Decision-Ready Commerce Data

Collecting commerce data at scale involves more than accessing a website. Teams also need to maintain collection workflows, validate records, normalize fields, and deliver the results in a format that downstream systems can actually use.

PLOTT DATA handles those steps as part of the data pipeline. Instead of receiving raw source information and rebuilding the structure internally, teams can work with maintained feeds containing consistent fields and source-level context.

Ready Sources & Custom Coverage

The platform provides a catalog of 131 ready sources spanning multiple commerce categories. When a required source is not already available, teams can request custom coverage rather than building the collection system themselves.

The workflow starts by defining the source, required fields, locations, and collection cadence. PLOTT then provides sample rows before maintaining the ongoing feed through the selected delivery method.

Flexible Data Delivery

Different teams can consume the same type of structured commerce information in different ways. PLOTT DATA supports API access, CSV and JSON files, S3 delivery, and warehouse delivery depending on the selected plan.

The available plans include:

  • Starter: One ready source, weekly collection, CSV or JSON delivery
  • Growth: Up to five ready sources, daily collection, API, files, or S3
  • Enterprise: Ready and custom sources, hourly or custom collection, matching, QA, and warehouse delivery

Why It Matters

Commerce intelligence often depends on collecting the same fields repeatedly across many websites, locations, and time periods. Building that infrastructure internally can create ongoing work around collection reliability, data cleanup, schema changes, and delivery.

PLOTT DATA focuses on providing a maintained commerce data feed instead. With structured schemas, validation, normalization, quality checks, and multiple delivery options, teams can spend more time analyzing commerce signals and less time maintaining the collection pipeline.

Get Structured Commerce Data Without Building the Pipeline

Track pricing, availability, rankings, product information, and other commerce signals through maintained data feeds delivered via API, files, S3, or warehouse integrations.

Share:

Similar to PLOTT DATA

Favicon

 

  
  
Favicon

 

  
  
Favicon