Web data for analytics providers

Build the intelligence.
We’ll run the data underneath it.

Your customers depend on accurate, current web data. Import.io handles the access, extraction, matching, validation and delivery behind your analytics product, across retailers, marketplaces and hard-to-reach websites at production scale.

Talk to our data teamExplore eCommerce data
analytics-provider.data-layeraccessing sources
Live commerce sourcescapture · context · evidence
walmart.comqueued
amazon.comqueued
target.comqueued
regional retailerqueued

Dynamic pages · store context · sessions · authenticated sources

4source patterns
32typed fields
99.3%illustrative coverage
1product-ready feed
Access → structure → verify → deliver
accesslive
structure32
verifypass
deliverready
Illustrative production pipeline.feeds · API · MCP ·

Web data infrastructure for analytics products and commerce-intelligence platformsIncluding three leading commerce-intelligence platforms that run their web capture with Import.io.

Build the product your customers buy. Leave source maintenance underneath it.

Analytics businesses win on models, workflows, insight and customer experience. Maintaining thousands of changing web sources is infrastructure work.

Expand without rebuilding every source.

Add retailers, marketplaces, categories and markets without creating a new collection stack each time your product expands.

coverage · new markets · new sources

Catch data problems before customers do.

Monitor freshness, schema, coverage and source-level changes so broken pages do not silently become broken analytics.

validation · evidence · monitoring

Move engineering higher in the stack.

Keep product teams focused on matching, models, analytics and differentiated features instead of scraper maintenance.

models · workflows · customer experience

The data layer

From the live web to product-ready records.

The work is not “scrape a page.” It is maintaining context, identity, quality and delivery across sources that change every day.

01

Access

Reach dynamic pages, geo-specific content, authenticated environments and protected sources.

02

Extract

Turn product pages, search results, categories, sellers and reviews into structured records.

03

Contextualize

Preserve retailer, store, ZIP, region, login state and timestamp.

04

Match

Resolve equivalent products with identifiers, attributes and evidence.

05

Validate

Check schema, coverage, freshness, anomalies and source changes.

06

Deliver

Feed applications, warehouses, models and customer-facing analytics.

The web data behind commerce intelligence.

One production data layer can support distinct analytics products without repeating the collection infrastructure underneath each one.

Pricing intelligence

Shelf prices, promotions, member pricing, seller offers and store-level variation.

price · promotion · seller · location

Digital shelf

Search rank, share of shelf, content, availability, reviews and assortment.

Explore digital shelf analytics

Assortment intelligence

Catalog breadth, launches, delistings, category movement and competitive gaps.

catalog · launches · gaps

Brand intelligence

Content compliance, seller monitoring, MAP signals and marketplace execution.

Digital shelf for brands

Market intelligence

Competitors, products, categories and market movements, structured for analysis.

entities · categories · change

AI products

Structured, current web data for agents without asking them to interpret every source.

Explore Web Scraper MCP

When the web changes

Your customers should never discover the data problem first.

Websites change without notice. A production data layer catches those changes before they become product problems.

Coverage baselinesCompare each delivery with contracted expectations and historical behavior.
Schema validationCatch missing fields and structural drift before the dataset moves downstream.
Source evidenceKeep timestamps, context and evidence attached to important findings.
Automated and human QAUse automation at scale with people in the loop for ambiguous failures.
delivery health · 06:42 UTCchecking 318 sources
318sources
0within baseline
0investigating
0held
target.com8,417 / 8,420−0.04%RELEASED
walmart.com12,202 / 12,190+0.10%RELEASED
regional retailer3,026 / 4,810−37.1%HELD
marketplace6,744 / 6,760−0.24%RELEASED
—automated checks · human escalation ·

Your data. Your schema. Your delivery path.

Fit the product and infrastructure you already have.

Managed feeds

Import.io operates the collection program and delivers structured datasets on the cadence your product requires.

Explore Managed Services

API

Pull current structured web data directly into applications, pipelines and internal systems.

Explore Data Extraction

Web Scraper MCP

Give AI systems controlled tools for live web access and structured extraction.

Explore Web Scraper MCP
PROVEN IN PRODUCTION

Infrastructure analytics businesses can build on.

Production web data infrastructure operating since 2012, including capture for three leading commerce-intelligence platforms.

Ask for a reference
2012

In production continuously.

3

Leading commerce-intelligence platforms.

450M

Queries a year on one production feed.

24/7

Managed production operations.

PROOF POINT

450M queries/year. One production workload sustained at marketplace scale.

Web data for analytics providers.

The essentials about the infrastructure underneath analytics products.

What data can Import.io provide to analytics platforms?

Product details, pricing and promotions, availability, search results and rankings, reviews, sellers, assortment and other structured data captured from websites and marketplaces.

Can Import.io match products across retailers?

Yes. Import.io can combine identifiers and product attributes to match equivalent products across sources, with confidence and evidence available as part of the workflow.

Can the data be delivered into our existing platform?

Yes. Data can be delivered as managed feeds or integrated through Import.io platform interfaces depending on the workflow.

Does Import.io replace our analytics product?

No. Import.io supplies the web data infrastructure underneath analytics products. Your team owns the analytics, models, workflows and customer experience.

Can Import.io handle sites that change frequently?

The service is designed around monitoring, validation and source maintenance so changes can be detected and addressed before they become downstream data problems.

Build on better data

Differentiate on intelligence.
Leave web maintenance underneath it.

Talk to our data teamExplore eCommerce data