# Enterprise Web Scraping Solutions for Teams

> Enterprise web scraping solutions commissioned to your brief. Scope custom datasets, AI visibility, monitoring and support. Request a QuanticData quote.

[Home](https://quanticdata.io/)/Enterprise solutions

Enterprise web data · On request

# Enterprise web scraping solutions for your team.

QuanticData scopes enterprise web scraping solutions as commissioned projects, distinct from self-service AI scraping tools. Agree sources, markets, collection cadence and delivery format with our team. Custom datasets, AI visibility studies, price monitoring and priority support are available on request, with scope and pricing agreed before work starts.

[Discuss your data project](mailto:hello@quanticdata.io?subject=Enterprise%20solutions%20%E2%80%94%20project%20scope)

Email your brief. No instant activation or purchase.

Your starting point

Custom scope

## Bring a brief, not a finished pipeline.

1. 01

**Sources**

Representative URLs, markets and access requirements.

2. 02

**Output**

Required fields, example records and delivery destination.

3. 03

**Operations**

Refresh cadence, review process and support expectations.

[Custom services](/enterprise-solutions/#custom-services)[Example workflow](/enterprise-solutions/#example-workflow)[Pricing](/enterprise-solutions/#custom-pricing)[Existing products](/enterprise-solutions/#existing-products)[FAQ](/enterprise-solutions/#enterprise-faq)[Discuss your project](/enterprise-solutions/#discuss-your-project)

Define the deliverable

## Custom web scraping services around your workflow.

Start with the decision your team needs to make. Choose the services below as parts of an agreed enterprise web data project, rather than assuming every capability is included in a standard account.

### AI visibility studies

Agree sampled prompts, countries, languages and engines. Request observed answers, actual citations, cited URLs and timestamps, with brand mentions distinguished from links. Keep failed or unavailable observations separate from confirmed absence. A panel measures its sample; it does not promise visibility gains.

[Explore the AI visibility audit](https://quanticdata.io/tools/ai-visibility-audit/)

### Custom price monitoring

Define comparable products or offers, currencies, tax treatment and availability fields. Agree collection cadence, change thresholds and notification destinations. Webhook scope includes payload fields, authentication, retries and duplicate-event handling; each is a requirement to agree, not a preconfigured integration.

[Scope price comparison and notifications](https://quanticdata.io/custom-price-monitoring/)

### Custom datasets

Specify schema, field types and output format before collection. Agree quality checks for missing values, duplicate records and inconsistent fields. Include provenance such as source URLs and observation times, and review representative samples against acceptance criteria before deciding the ongoing scope.

[Plan a dataset around your schema](https://quanticdata.io/custom-datasets/)

### Priority support

Agree support channels, operating windows and escalation contacts around your workflow. Separate response expectations from resolution targets, and define ownership when a source changes. Any project-specific commitments belong in the agreed terms, not in a blanket promise on this page.

Illustrative workflow

## From a price observation to a review.

This example describes a possible project, not a deployed customer integration or measured outcome.

1. **Agree comparable records.**A retailer defines product identifiers, variants, currency and shipping fields across selected public sources.

2. **Review the collected sample.**Compare normalized records at the agreed cadence. Flag missing fields and uncertain matches for review instead of treating them as price changes.

3. **Deliver a scoped event.**A qualifying change could send an agreed webhook with the source, observation time and comparison values. The receiving team decides what action to take.

Price the actual work

## A custom quote, based on your scope.

Sources, collection cadence and output requirements shape the quote. Include representative pages, markets, expected record volume, required fields and delivery preferences in your brief. Matching complexity, validation and support requirements also need agreement.

Scope review establishes feasibility, exclusions and acceptance criteria. Agree any sample work, ongoing collection and change process before implementation. Additional sources or delivery requirements may require a revised quote.

## Use an existing product when it fits.

The [self-service AI scraping service](https://quanticdata.io/ai-web-scraping-service/) is a software workflow, separate from this commissioned service with an agreed brief, sample acceptance and delivery arrangements. Browse [ready-made collectors](https://quanticdata.io/collectors/) and [QuanticData documentation](https://quanticdata.io/docs/) if your team already has the integration covered. If you manage your own parser, [Web Unlocker proxy access](https://quanticdata.io/web-unlocker/) is a separate product, not a managed dataset or an enterprise delivery commitment.

Before you brief us

## Enterprise solutions FAQ

### What are enterprise web scraping solutions?

Enterprise web scraping solutions are commissioned projects built around your sources, required fields and delivery needs, rather than a fixed response format. QuanticData scopes collection, validation and delivery with your team. The agreed brief defines what is included, how changes are handled and what the project costs.

### How is an enterprise project priced?

Pricing is a custom quote based on sources, collection cadence and output requirements. Matching rules, validation, delivery integrations and support scope also affect the brief. Send representative URLs and a sample schema so we can discuss feasibility and agree the commercial terms before work starts.

### Can you create a dataset with our own schema?

Yes, custom datasets are available on request. Propose the fields, types, source coverage and output format your team needs. We agree validation rules, missing-value handling, duplicate handling and provenance fields in scope. Sample review establishes acceptance criteria; it is not a promise of complete coverage of every source.

### What does an AI visibility study measure?

A study records observed answers for an agreed sample of prompts, countries, languages and engines. Reports distinguish brand mentions from actual cited URLs and record observation context. Missing citations, failed requests and unavailable observations remain separate. Results describe the sample, not every user conversation or a guaranteed future ranking.

### Can price monitoring send notifications or webhooks?

Notifications and webhooks can be scoped as part of a custom price monitoring project. We agree matching rules, change thresholds, collection cadence and destinations, together with payload fields and delivery handling. These integrations are available on request; this page does not activate alerts or configure a live webhook.

### What does priority support include?

Priority support is agreed for the individual project, including contact channels, support windows and an escalation path. The scope should distinguish response expectations from resolution expectations and specify how source changes are handled. There is no universal response-time commitment or around-the-clock coverage implied by this page.

### Do we need a custom project to use QuanticData?

No. If an existing collector or documented API already returns the data you need, your team can integrate that product directly under its own terms. Choose a custom project when source coverage, a tailored schema, recurring delivery or coordinated support needs to be agreed beyond that standard product scope.

## Tell us what your team needs.

Send sources, markets, desired output and cadence to start a scope discussion. All four services are available on request.

[Email hello@quanticdata.io](mailto:hello@quanticdata.io?subject=Enterprise%20solutions%20%E2%80%94%20project%20scope)

By [Aldo Morese](https://quanticdata.io/about/) · Updated 11 September 2026 · [Read as Markdown](https://quanticdata.io/enterprise-solutions/index.md)

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