AI Data Extraction & Web Intelligence
“Know what your competitors are doing before they do it again.”
We build AI-powered data collection pipelines that scrape, extract, and analyze data at scale.
Competitor monitoring, price tracking, market research, OSINT, content aggregation - all automated and delivered to your database or dashboard.
Start with a focused first build.
Send the workflow, the tools involved, and where the handoff breaks. We will map the smallest build that can prove value before you commit to a larger system.
The useful parts of this build.
These are the pieces buyers usually need when the workflow has to run inside a real product, CRM, dashboard, or internal operation.
Recurring data collection from approved web, API, and third-party sources
Competitor changes tracked across pricing, pages, content, and signals
Clean records with deduplication, entity matching, and source links
Intelligence summaries that explain what changed and why it matters
Scheduled delivery into dashboards, databases, alerts, or reports
How this moves from audit to production.
The first version stays narrow enough to ship, but includes the architecture, integrations, model layer, review path, and observability needed by a real team.
Define target sources, crawl frequency, robots constraints, proxy needs, extraction fields, and downstream intelligence outputs.
Build scrapers, API collectors, browser workers, and parser functions that normalize messy web data into typed records.
Apply deduplication, entity resolution, language detection, price normalization, and confidence scoring before analysis.
Schedule recurring runs with monitoring for blocked sources, layout changes, missing fields, and abnormal volume shifts.
Deliver cleaned intelligence into dashboards, alerts, databases, or AI summaries with source URLs and run history.
Questions before building this workflow.
Can you monitor competitors automatically?
Yes. We can track prices, messaging, product pages, ads, social posts, job listings, reviews, and content changes with scheduled collection and alerting.
How do you keep scraped data usable?
We normalize fields, deduplicate entities, validate formats, keep source links, and monitor parser failures when websites change layouts.
Can the collected data feed an AI analysis workflow?
Yes. Cleaned records can feed classifiers, trend summaries, dashboards, enrichment jobs, and RAG systems with source traceability.
Related services in this category.
Send one workflow.
Send the workflow. We will show what to build first.