Custom data pipelines, built for you.

Managed data extraction is a fully outsourced web data service where a provider handles the entire process — from sourcing and scraping websites to structuring, validating, and delivering clean data feeds.

Instead of building and maintaining scraping infrastructure in-house, you work with experts who manage engineering, maintenance, scaling, and delivery on your behalf.

Outsourcing makes sense when:

• Your team lacks dedicated scraping expertise

• Sites frequently block or change structure, and you don't have a team to address in real-time

• You need large-scale, ongoing data feeds

• Time-to-market is critical

• Maintenance costs are becoming unpredictable

Building in-house can work for small or one-off projects, but long-term or large-scale data programs often require constant maintenance and infrastructure investment. A managed provider removes that operational burden.

Zyte follows a structured process:

1. Project discovery & scoping – We define your requirements, target sites, schema, and delivery schedule.

2. Specification & setup – Our engineers build extraction workflows and configure your custom data feeds. Samples are delivered to ensure alignment to your expectations.

3. Quality assurance & delivery – Data is validated against your schema and delivered on a reliable schedule, with ongoing monitoring and maintenance.

You receive clean, structured data — without managing scraping infrastructure yourself.

Zyte supports a wide range of projects, including:

• Real estate listings

• E-commerce product and pricing data

• Business directories and company data

• Travel and hospitality data

• Job listings

• News and media monitoring

• Training datasets for AI and machine learning

If the data exists publicly on the web, Zyte can design a reliable extraction and delivery workflow around it.

Timelines depend on complexity, number of sites, and custom schema requirements, but typically 2-4 weeks.

For straightforward projects, feeds can be delivered faster. Larger, multi-site enterprise programs may take longer to fully scope and implement.

Zyte provides clear timelines during the scoping phase so there are no surprises.

A professional managed provider should include:

• Schema validation and field mapping

• Automated monitoring for site changes

• Error detection and alerting

• Ongoing maintenance and updates

• Quality assurance checks before and after delivery

At Zyte, data is validated against your defined structure and monitored continuously to ensure reliability over time.

In many cases, yes.

Building internally requires:

• Engineers with scraping expertise

• Proxy infrastructure

• Anti-bot handling

• Ongoing maintenance

• Monitoring and QA

Managed services consolidate those costs into predictable pricing, often reducing long-term operational overhead — especially at scale.

Modern websites use sophisticated anti-bot measures. Zyte combines years of unblocking human expertise with its own proprietary, AI-powered technology to reliably access and extract data from complex sites.

This reduces downtime, failed runs, and the need for constant in-house debugging.

Yes.

Data can be delivered in your preferred:

• Schema

• File format (JSON, CSV, XML, etc.)

• Delivery method (API, S3, cloud storage, etc.)

• Frequency (daily, weekly, real-time, custom cadence)

The goal is to integrate seamlessly into your existing workflows.

Compliance and responsible data practices are critical when outsourcing data collection, and Zyte has helped shape many of the compliance protocols for the industry, including founding the Ethical Web Data Collection Initiative (EWDCI).

Zyte has over 15 years of experience in responsible web data extraction and operates with strong compliance standards and secure data handling practices. Learn more about Zyte's compliance strategy.