Web Scraping API & Data Delivery

This service is built for projects where collected web data needs to reach an application or internal system through a programmatic mechanism, rather than as a document to open and read.

An API-style delivery method gives an application or system a defined, structured way to request data that has already been collected and organized.

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At its core, this model provides programmatic access to a structured dataset. The requesting application or system defines what it needs, and the data is returned in the structure agreed for the project.

• Programmatic access to collected data
• A structured dataset built around defined fields
• A data-delivery mechanism suited to the project
• Data shaped for use in an application or internal workflow
• Requirements agreed at the start of the project

The mechanism is built around what the requesting system needs, not a generic export.

Getting from a website to data an application can use takes more than a single step. The path generally looks like this:

• Defined web sources
• Data collection from those sources
• A structured dataset built from the collected data
• API / data access layered on top of that dataset
• The application or workflow that consumes it

Each step depends on the one before it. Without a structured dataset, there is nothing for the data-access layer to expose.

The types of data available through this model depend on the sources and fields defined for the project. Common examples include:

• Product or catalog data
• Pricing and availability data
• Business or company data
• Listing data such as property, job, or marketplace records
• Project-specific or custom fields

The exact fields available depend on what each source publishes and what the project defines as required.

Before an API/data-delivery project is built, a few things need to be defined:

• Source scope
• Required fields
• Dataset scope
• Output/data structure
• Access or delivery requirements
• Any other project-specific requirements

Once structured, the dataset can be used inside a defined application, a software system, an internal workflow, or a reporting process.

How it is used depends entirely on the system receiving it. The data is shaped for a purpose, but the purpose is defined by the project, not by the delivery mechanism itself.

This model focuses on programmatic access to a defined, already-collected dataset. An application or system requests the data it needs, and the structured result is delivered through the agreed mechanism.

A web data feed instead focuses on refreshing and delivering a dataset again and again, on a schedule set for the project. The emphasis is on recurring delivery rather than on-demand access.

The two can complement each other, but they answer different requirements: one is about how data is accessed, the other is about how often it is refreshed and delivered.

The diagram below shows how a requesting application connects to the API/data-access layer, which in turn draws on a structured dataset built from the defined web data sources.

This approach tends to fit situations where:

• An application needs structured web data to function
• An internal system already works with collected datasets and needs a defined way to pull them in
• A software workflow requires data delivery through a defined mechanism
• Programmatic access is part of how the project is meant to work, rather than a document handed over separately

Where a project simply needs a dataset refreshed and delivered on a schedule, a web data feed is the more direct fit.

Before scoping the work, it helps to define:

• Sources to be collected
• Fields required for the dataset
• How the data should be structured
• How the data should be accessed or delivered

Once these are defined, we can review the requirement and confirm an approach for the project.

Request a Data Collection Project