Turn flat web data into a rich, multidimensional asset
Scraped data is only the beginning. Our managed enrichment pipelines add the missing context your teams need — linking competitor SKUs to your internal catalog, appending firmographics, geocoding addresses, computing sentiment, and integrating third‑party APIs — all automatically, before the data ever reaches your warehouse.
source: "scraped-product-feed"
enrichments:
- internal_sku_map: "gtin + fuzzy title"
- geocode: "address → lat/lon"
- sentiment: "reviews → score (0‑1)"
- firmographic: "domain → company size, industry"
output: "snowflake.public.enriched_products"
Competitor → Internal ID
42 new coordinates appended
Trusted data from leading platforms
Make every scraped record worth 10x more
Data enrichment is the process of augmenting raw web‑scraped data with additional intelligence from internal databases, third‑party APIs, and derived analytics. Instead of delivering a flat table of competitor prices, you get a dataset that already maps those prices to your own product IDs, includes the competitor’s company size and industry, has the store location geocoded, and scores recent reviews for sentiment — all without any manual work from your team.
Our enrichment pipelines are custom‑built to your specific business context. We integrate with your existing data sources (CRM, PIM, ERP) and any external API you license, applying matching logic, transformations, and quality checks automatically on every new batch of data.
- Map competitor products to your internal SKUs with high accuracy
- Append firmographics, geolocation, and industry classifications
- Compute sentiment, key phrases, and entities from unstructured text
- Normalise currencies, units, and date formats to your standards
- All enrichments applied in‑flight — no manual spreadsheet work
Why raw data rarely answers the real question
Your team doesn't need another CSV — they need to know which of their products are affected, which regions are underserved, and what customers are saying.
Data lives in silos
Scraped competitor data sits in one bucket; your internal catalog in another. Without a bridge between them, repricing and assortment decisions are guesswork.
Context is missing
A list of competitor store addresses is useless without geocoordinates. A domain name tells you nothing about the company behind it until you append firmographics. Enrichment adds the missing context.
Manual enrichment doesn't scale
Analysts can manually map a few hundred products, but not tens of thousands. Automated matching and augmentation pipelines process millions of records — accurately, consistently, and on schedule.
An enrichment engine that contextualises every data point
Each feature below is configured to your specific data landscape — internal systems, external APIs, and business rules.
Internal catalog matching
Automatically link competitor SKUs to your product IDs using GTIN, UPC, fuzzy title matching, and image similarity — delivered with confidence scores for every match.
Geocoding & location intelligence
Convert addresses to lat/lon, append census data, time zones, and proximity to points of interest — turn a text address into a mappable, analysable asset.
Sentiment & text analytics
Run NLP models on product reviews, news articles, or social posts — extract sentiment scores, key phrases, and named entities, and append them as structured fields.
Firmographic appending
Given a company domain or name, pull employee count, revenue band, industry classification, and headquarters location from business databases — enriching B2B lead lists and competitor profiles.
{
"title": "Wireless Headphones",
"price": 79.99,
"__enriched": {
"our_sku": "INT-48219",
"competitor_size": "50–200 employees",
"review_sentiment": 0.87
}
}
From raw scraped record to context‑rich data asset
Enrichment scoping
We define the enrichment objectives, identify internal and external data sources, and design the matching and augmentation rules.
Pipeline & integration build
Our engineers integrate your systems and APIs, build the transformation logic, and run a test batch against a sample of your data.
Validation & accuracy review
Enriched records are delivered alongside match confidence reports — you verify that the added context is accurate and aligned with your expectations.
Production deployment & monitoring
Enrichment runs automatically on every new data batch. We monitor match rates, API availability, and data quality — and adapt when source schemas change.
Deliverables for every data enrichment project
Enrichment blueprint & source integration plan
A document specifying every enrichment source, matching rule, transformation, and validation check — signed off before any pipeline work begins.
Sample enriched dataset
A representative batch of records with all enrichments applied, delivered with confidence scores and a completeness report for your review.
Production enrichment pipeline + runbook
Fully automated enrichment live on your data feed. A runbook documents all sources, matching logic, quality thresholds, and refresh cadences.
Monthly enrichment health report
Summary of match rates, API uptime, new enrichment sources added, and any data‑side changes handled — delivered proactively to your team.
Flexible plans for every enrichment scope
One‑Time Enrichment
Best for a single batch of raw data that needs to be augmented with internal mappings or third‑party data before analysis.
- Fixed scope & price
- Up to 3 enrichment sources
- Single delivery of enriched data
Managed Enrichment Feed
Ongoing enrichment of every new data batch — we maintain the integrations and rules, your data stays context‑rich automatically.
- Daily or weekly enrichment runs
- Unlimited enrichment sources
- Match rate & quality SLA
Enterprise Enrichment Program
For complex multi‑source integrations, custom matching models, dedicated data engineers, and private API hosting.
- Unlimited enrichment sources
- Custom ML matching models
- SSO, audit logs, quarterly reviews
Teams that need more than just raw web data
E‑commerce & Retail
Map competitor products to your catalog, enrich with product attributes, and power your repricer with SKU‑level matching.
B2B Sales & Lead Generation
Append firmographics to scraped company lists — add employee count, revenue, and industry before it reaches your CRM.
Real Estate & Location Intelligence
Geocode property addresses, append neighbourhood demographics, and calculate proximity scores to points of interest.
Financial & Investment Research
Enrich company data with financial metrics, sentiment scores from news, and industry classification for portfolio analysis.
Data Enrichment vs. manual augmentation and DIY scripts
| Capability | Managed Data Enrichment | Manual Spreadsheet Lookups | In‑House Matching Scripts |
|---|---|---|---|
| Internal catalog matching (SKU‑level) | |||
| Geocoding & location intelligence | |||
| Firmographic & demographic appending | |||
| Automated sentiment & text analytics | |||
| Scalable to millions of records | |||
| Ongoing maintenance & integration | Included | Your team | Your team |
“We now see exactly how every competitor price affects our own products”
"The internal catalog matching is a game‑changer. Within two weeks, every scraped competitor product was linked to our SKU. Our repricer now operates on accurate, matched data — and our revenue margin improved by 6%."
"We scrape thousands of retail locations but had no way to analyse them spatially. Their geocoding enrichment added coordinates to every store — now our site selection team uses the enriched dataset to model catchment areas."
"We had 200,000 product reviews with no structure. Their NLP enrichment extracted sentiment, key themes, and product features — now our product managers get a weekly report of what customers love and hate, fully automated."
Enrichment sources and delivery — secure and seamless
We connect to your internal systems and external APIs, then deliver enriched data straight to your warehouse or tools.
Get a scoped quote for your data enrichment project
Tell us what data you have and what context you need — we'll return a fixed‑price estimate and a sample enriched dataset within two weeks.
Common questions about Data Enrichment
Your raw data, enriched with the context your team actually needs
Send us a sample of your scraped data and describe the context you want added. We'll return an enriched sample within two weeks — no commitment, no sales pitch.
Most enrichment pipelines deliver the first enriched dataset within 2–4 weeks.
