Web Data
Collection, normalization and delivery of public-web data your systems can build on — with quality controls and full lineage.
ExploreSolution
Custom Data Solutions
When your question doesn't fit an off-the-shelf dataset
Engineered around your question
Some questions are too specific for a catalog dataset: a niche supplier landscape, a regulated market's public disclosures, a competitor set spread across five countries and three languages. Heroku's custom solutions practice designs source programs around the question — feasibility first, then collection design, then delivery.
Every custom engagement gets the same treatment as our core platform: documented sources, measured quality, monitored pipelines and honest reporting of what the public web can and cannot answer.
What's included
The moving parts
Feasibility studies
A short, structured assessment of what's publicly available, how stable it is, and what quality level is achievable — before you commit to a program.
Source design
Per-source collection profiles with cadence, coverage and extraction design, documented and versioned like code.
Bespoke delivery
Custom schemas and delivery channels shaped around your stack, with the same API/warehouse/storage options as core products.
Embedded support
A named engineering contact and scheduled reviews keep the program aligned as your questions evolve.
Practice notes
How the discipline is applied
Scope honesty
If the public web can't support a signal, we say so in the feasibility stage — with alternatives.
Reuse where possible
Custom programs build on shared infrastructure, so you inherit mature tooling rather than bespoke fragility.
Clear exit ramps
Documented schemas and export options mean your program data is never held hostage.
Live monitoring view — category price index
Observed signal
48htypical pilot setup
3gate outcomes: pass / degrade / quarantine
1canonical schema contract
Program defaults from current enterprise engagements.
FAQ
Common questions about custom data solutions
What does a typical engagement look like?
Feasibility (1–2 weeks) → pilot collection against a sample scope → quality review → full program rollout with monitoring and delivery. You can stop after any stage.
Can you work with our existing data?
Yes. Custom programs frequently join public-web signals with client-side first-party data to answer questions neither could answer alone.
Who owns the collected data?
Contractually, program outputs are licensed to you for your use. We don't resell client-commissioned custom datasets.
Related
Pairs well with
Market Intelligence
Continuous market monitoring that turns competitor moves, category trends and public signals into decision-ready intelligence.
ExploreCompetitive Intelligence
Professional competitor monitoring built on publicly available business information, with the rigor your strategy reviews expect.
ExploreSee custom data solutions applied to your market
A 45-minute discovery call and a written feasibility note will tell you more than any brochure. Sample scopes included.
Nadia Haddad
“Scope honesty” as a named principle — love it. Our last custom project died because feasibility said yes to everything.
2 comments
The staged engagement model (feasibility → pilot → rollout, stoppable at each stage) is how every data vendor should sell. Subscribed.