Resilient collection across sources
Operate recurring acquisition across websites, apps, APIs, authenticated systems, and files without owning every source-specific failure mode.
Turn any source into working intelligence.
Crawlr collects from websites, mobile apps, APIs, and complex platforms—then delivers clean data, business intelligence, automations, and internal systems.
The operational data problem.
Critical data stays trapped in difficult sources—and generic tools rarely fit how your business actually works.
Data is difficult to reach and maintain
Websites, mobile apps, APIs, authenticated platforms, and legacy systems all change differently. One-off scripts quickly become permanent maintenance work.
Raw data is not an operational system
Collection alone does not answer questions or improve workflows. Data still needs to be cleaned, connected, modeled, monitored, and delivered in a form your teams can use.
From source to working system.
Collect from anywhere. Turn the result into intelligence and systems built for your business.
One team handles acquisition, data engineering, business logic, and delivery—so you receive an operational capability, not another disconnected export.
Collect from any source
Acquire recurring data from websites, mobile apps, APIs, authenticated platforms, files, and complex digital products with source-level health checks.
Turn data into intelligence
Clean, normalize, connect, enrich, and model raw observations around the entities, rules, metrics, and decisions that matter to your business.
Build the system around it
Deliver through datasets, APIs, dashboards, automations, alerts, or a purpose-built internal application that fits your existing operations.
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Define the sources, business problem, and required outcome
Show us where the information lives, what your teams need to understand or automate, and how the result should fit into your operation.
Crawlr collects, connects, models, and operationalizes
We build the collection infrastructure, validation, transformation, entity logic, metrics, and monitoring required to make the data dependable.
Receive the product that fits your workflow
Use structured datasets, an API, dashboards, automations, alerts, or a custom internal system—with health signals and exceptions built in.
Built for real operational complexity.
Deep collection and engineering capability, delivered as tools business teams can use immediately.
Business intelligence with evidence
Keep transformations, entity relationships, metrics, confidence, and review state connected so teams can understand and trust every output.
Internal systems that fit the operation
Move intelligence into APIs, dashboards, automations, alerts, or custom internal applications, with exceptions surfaced for action.
Collection, intelligence, and systems
Start with a focused data problem. Build toward an operational capability.
These commerce workflows show the depth of the platform. The same collection, intelligence, and delivery architecture can be applied to other markets, data problems, and internal systems.
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Multi-source data collection
Collect dependable structured data from websites, mobile apps, APIs, authenticated platforms, files, and other digital sources.
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02Product matching
Connect retailer listings to the same underlying product with normalized attributes, explainable evidence, and reviewable confidence.
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03Pricing and promotions
Monitor list prices, selling prices, discounts, promotion mechanics, and change events across matched products and markets.
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04Assortment and availability
Measure assortment breadth, catalog overlap, new listings, delistings, stock signals, and regional availability over time.
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05Digital shelf and content
Monitor search placement, category visibility, titles, images, descriptions, attributes, seller context, and content completeness.
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06Brand and review intelligence
Track brand representation, seller activity, ratings, review volume, recurring themes, and agreed marketplace exceptions.
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In production.
Data teams and operators build company-wide capability with Crawlr
NORTHSTAR RETAIL — MOCK
Build a market view that stays current
Mock customer story: recurring collection, normalized catalogs, and change monitoring in a single operational workflow.
ATLAS BRANDS — MOCK
Own product identity end to end
Mock customer story: matched listings give teams a reviewable foundation for price, availability, and assortment decisions.
STOREFRONT LABS — MOCK
Turn market changes into team-ready signals
Mock customer story: delivery, exceptions, and alerts are designed around the systems and decisions that consume the data.
1/3
They are the real sales
The flexibility is really what made the difference. Our needs evolve very fast. I discover a new need and in two clicks I can address it. That is a real advantage when you are moving quickly.
We needed a workflow that made changing source data useful to the whole team, without turning each new question into a one-off technical project.
Crawlr gives us a clear way to define the market signals we need and put them into the workflows that already run the business.
Frequently asked questions
Start with one source, one problem, and a real working sample.
Projects can include websites, mobile apps, APIs, authenticated platforms, files, and complex digital products. We validate representative sources and required fields before defining production coverage.
Matching combines exact identifiers, normalized attributes, variant and pack-size logic, and project-specific evidence. Ambiguous relationships remain reviewable instead of being presented as certain.
No. Commerce intelligence is a core capability, but the same infrastructure can support broader scraping, market intelligence, operational data, workflow automation, and custom internal systems.
Cadence depends on the source, volume, access method, and business decision. Crawlr agrees a realistic schedule after validating representative inputs and the required output.
Yes. Projects can keep list, selling, member, and promotional prices separate and retain visible promotion text, seller context, currency, availability, and collection time.
Delivery can include APIs, scheduled files, cloud workflows, dashboards, automations, alerts, and custom internal applications. The right mode depends on how the result will be used.
Share the source, the information you need, the business problem, and your preferred output. Crawlr uses that context to validate a representative sample and propose a realistic production approach.
Each project is scoped around agreed sources, authorized access, fields, delivery, and handling requirements. Crawlr does not invent legal conclusions; customers should review source terms and their own compliance obligations.