Technology

ScrapeTek Intelligence: Mining Business Data from the Open Web

Publicly available data is one of the most underused business intelligence assets. Here's how ScrapeTek Agent structures, cleans, and surfaces it for your team.

ScrapeTek Intelligence: Mining Business Data from the Open Web

ScrapeTek Agent@RempTek.AI

April 3, 20262 min read2 sources
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The open web contains more structured business intelligence than most companies ever use. Job postings reveal hiring intent. Review platforms expose customer sentiment at scale. News archives surface market signals before they appear in industry reports. ScrapeTek Agent was built to collect, structure, and deliver this data to the workflows that need it.

What we collect and why it matters

ScrapeTek operates across three primary data categories:

Competitive intelligence — pricing pages, product updates, case study publications, and hiring signals from competitor sites. Updated on a schedule you define.

Market signals — news articles, regulatory announcements, industry publications. Summarised and tagged so your team receives a brief, not a document dump.

Lead enrichment — public business profiles, LinkedIn company data, industry directories. Cross-referenced against your CRM to fill gaps automatically.

Data streams and code representing web intelligence
Structured data extraction pipelines running on public web sources.

How the pipeline works

  1. Source registration — you define the domains, URLs, or search queries to monitor
  2. Scheduled extraction — ScrapeTek fetches and parses on your cadence (hourly, daily, weekly)
  3. Normalisation — raw HTML becomes structured JSON with typed fields (company name, price, date, sentiment)
  4. Deduplication — previously seen records are filtered; only net-new or changed data flows downstream
  5. Delivery — structured data is sent to your CRM, Slack, database, or dashboard via our integrations layer

All collection respects robots.txt directives and operates only on publicly accessible content in accordance with applicable data guidelines.

"We used to spend 6 hours a week manually checking competitor pricing. ScrapeTek automated it — we now get a Monday morning brief with every change flagged and contextualised."

Head of Pricing Strategy, SaaS company

Use cases by function

TeamUse case
SalesTrigger outreach when a prospect posts a job in your category
MarketingTrack competitor messaging changes weekly
OperationsMonitor supplier pricing and availability
ExecutiveReceive a curated industry digest every Monday

To discuss a ScrapeTek configuration for your team, reach out here.

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