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DataOx

Name: DataOx
Address: Vesivärava tn 50/201, Tallinn, 10152, EE
Telephone: +380981590722
Price range: ££

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DataOx

Custom web scraping services for data-driven businesses | Reliable data extraction & delivery since 2015

09/11/2026

Why are businesses using multiple data acquisition methods?

According to the DataOx Data Acquisition Report 2027, 69% of surveyed companies use more than one method to collect external data.

These include in-house web scraping, outsourced data collection, APIs, partner feeds, and licensed datasets.

Combining methods helps businesses address different data needs while considering coverage, access restrictions, costs, and maintenance requirements.

Our latest report examines current data acquisition practices, operational challenges, and key considerations for 2027.

Explore the full findings: https://data-ox.com/resources/blog/data-acquisition-report/

06/11/2026

How can businesses keep executive contact data accurate and up to date?

Executive contact information changes frequently, making it challenging to maintain reliable B2B lead databases.

Web scraping helps collect and update professional information from company websites and business directories. Maintaining data quality also requires validation, deduplication, regular updates, and compliance with data protection regulations.

Our latest article covers practical methods for collecting executive contact data and keeping it reliable.

Read the full article on DataOx: https://data-ox.com/resources/blog/web-scraping-for-executive-contact-information/

04/11/2026

AI scraping vs traditional web scraping: which approach should you choose?

AI scraping helps extract data from websites with different layouts, while traditional scraping provides faster processing, predictable results, and greater control at scale.

A hybrid approach can combine both methods, using traditional scraping for routine data collection and AI for content interpretation and changing sources.

Our latest article compares accuracy, cost, scalability, and reliability to help you choose the right approach.

Read the full article on DataOx: https://data-ox.com/resources/blog/ai-scraping-vs-traditional/

03/11/2026

Introducing the Data Acquisition Report 2027 by DataOx

Collecting and maintaining reliable external data is becoming more complex as infrastructure costs, website access conditions, and data quality requirements change.

Our new report covers:

• How businesses acquire external data
• Data collection and maintenance costs
• Common causes of pipeline failures
• The role of AI in web data collection
• Three data acquisition scenarios for 2027

The report also includes an 18-point checklist for assessing data pipeline reliability.

Based on DataOx research, production experience, and industry benchmarks, it provides practical insights for business and technology leaders.

Download the free report: https://data-ox.com/resources/blog/data-acquisition-report/

29/10/2026

What are the hidden costs of a web scraping pipeline?

The total cost goes beyond initial development. Scraping APIs, in-house pipelines, and outsourced solutions each involve different expenses for infrastructure, maintenance, and scaling.

Our latest article compares these approaches and explains what to consider when evaluating long-term costs, including engineering time and ongoing support.

Read the full comparison on DataOx: https://data-ox.com/resources/blog/build-vs-buy-data-pipeline/

26/10/2026

Hiring a web scraping specialist? Here’s what to consider.

Technical experience, previous projects, data quality, and ongoing maintenance all matter when choosing someone to manage your data collection.

We’ve prepared a practical checklist to help you evaluate specialists and avoid common hiring mistakes.

Read the full guide on DataOx: https://data-ox.com/resources/blog/hire-web-scraping-specialist/

23/10/2026

Real estate data can help companies track market trends, monitor property prices and availability, and identify investment opportunities.

Web scraping makes it possible to collect listings from multiple sources, but dynamic websites, inconsistent data formats, and frequent site changes can complicate the process.

Our latest article covers real estate web scraping use cases, common challenges, and best practices for reliable data collection.

Read the full article on DataOx: https://data-ox.com/resources/blog/web-scraping-real-estate-data/

21/10/2026

How do you scale an AI-powered recruitment platform over 8+ years?

DataOx has partnered with Discovered ai to develop and improve its recruitment platform, including SaaS development, system integrations, and AI-driven automation.

Today, the platform supports over 900K candidates and 2.5K active client companies, with 120K assessments completed in the past year.

Our case study covers the challenges, solutions, technologies, and results of this long-term partnership.

Read the full case study: https://data-ox.com/resources/case-studies/hr-software-development/

19/10/2026

High-quality data is essential for reliable machine learning results.

Building an effective ML dataset requires clear requirements, relevant data sources, consistent quality checks, and regular updates as model needs evolve.

Our latest article covers the main challenges of ML data collection and practical approaches to building datasets that support real-world applications.

Read the full guide on DataOx: https://data-ox.com/resources/blog/data-collection-for-machine-learning/

16/10/2026

The quality of training data has a direct impact on machine learning performance.

Even a dataset with millions of records can have gaps in real-world scenarios or inconsistencies that affect model results.

To build reliable ML datasets, teams need clear data requirements, consistent quality checks, and a way to identify gaps based on model performance.

In this video, we cover 3 common data collection challenges and practical ways to address them.

For a closer look at building reliable data collection pipelines for machine learning.

Read the full guide on DataOx:
https://data-ox.com/resources/blog/data-collection-for-machine-learning/

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Vesivärava Tn 50/201
Tallinn
10152

Telephone

+380981590722

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