Structured data from the open web, on a schedule you can build a process on.
Pricing intelligence, marketplace and classifieds monitoring, registries and catalogs — collected, cleaned and shipped as datasets or a live API.
What we collect and deliver
Price & availability monitoring
Track competitor pricing, stock and promotions across marketplaces and retailer sites on an hourly or daily cadence.
Marketplace & classifieds analytics
Structured extraction from marketplaces, classifieds and listing sites for market research and demand analysis.
Registries & directories
Public registries, business directories and catalogs normalized into a consistent, queryable schema.
Media & mention monitoring
Track brand and keyword mentions across public web sources with structured, timestamped output.
Custom collection projects
A source or combination not listed here? We scope custom pipelines against the same legal and technical bar.
Ready datasets
Pre-built datasets for common use cases, with a sample, documented schema and defined refresh frequency.
The kind of scale we run
Every engagement runs under NDA — these are shapes of real projects, not client names.
Retail price monitoring
Price monitoring for a national retail chain — 12 sources, 80,000 SKUs, refreshed twice daily, integrated into the client's analytics stack.
Marketplace analytics
Recurring collection across 15 product categories on two major marketplaces — 200,000+ listings, reviews and rating trends.
Real estate listings
Automated monitoring of listing platforms for a developer's analytics team — geolocation, filtering, daily export.
Media & brand monitoring
Mention monitoring across 300+ public channels, with real-time alerts and weekly aggregated analytics.
How data reaches you
REST API
Query live or historical data on demand, with an API key and documented endpoints.
Scheduled exports
CSV, JSON or Parquet delivered to S3, GCS or SFTP on your schedule.
Direct warehouse load
Structured tables written directly into your BigQuery, Snowflake or Postgres warehouse.
What we will not do
- ✕Bypass authentication, CAPTCHAs or any access control
- ✕Use sources that require authentication, CAPTCHAs or any other bypass of access restrictions
- ✕Collect personal data, even if technically reachable
- ✕Guarantee collection from a source that changes its terms to prohibit it
SLA & support
Every recurring pipeline ships with monitored uptime, a defined freshness window, and a support channel — specified in writing before the first delivery.
Data questions, answered
Is web data collection legal?+
We work only with data publicly available without authentication, CAPTCHAs or bypassing access controls. We do not collect personal data. Each source and scope is checked against these boundaries before work begins.
How do you deliver data and how often?+
Via REST API, scheduled export or direct warehouse load. Each source gets an agreed update cadence, from hourly to daily or another business-appropriate schedule.
What happens if a source changes?+
Pipelines are monitored for breakage. If a source changes its structure or restrictions, we assess whether work stays within the agreed boundaries and adjust or retire collection accordingly.
Who owns the collected data?+
You do. Delivered datasets, data schemas and project infrastructure are handed over without vendor lock-in as part of the agreed delivery.
Do you work under NDA?+
Yes. NDA is the default: we can sign your template or provide ours before any technical discussion.
Tell us what you need to collect
Sources, volume, refresh frequency, delivery format — the more specific, the faster we can scope it.