You have access to plenty of data, but making sense of it without proper infrastructure takes time. DataOx helps you automate all stages of data mining. We scrape public information, streamline your business’s data flows, and set up analytics software. Your team gets real-time insights instead of spending hours trying to understand market currents.
Custom dashboard development projects fail more often than clients admit. APIs break. Data formats change overnight. DataOx has done this work since 2015 for companies that tried building dashboards internally first. You skip that expensive learning phase. The real-time dashboard starts displaying accurate metrics on week one because we’ve debugged every common breakdown point that exists.
DataOx builds custom pipelines for data delivery and prepares the collected information for your data mining tools.
G2
Trustpilot
Capterra
Glassdoor
Alibaba
Amazon
FDA
Walmart
Target
Coinbase
CSV
XLSX
JSON
XML
Database
CRM
Dashboards
Analytics
Insights
API
DataOx makes data mining accessible to businesses of any size. You don’t have to increase headcount for manual data collection and analysis, or spend days figuring out how to embed advanced data mining techniques into your workflow. We create automated pipelines with user-friendly, fully custom interfaces. Your team can use the insights immediately after deployment.
For companies already leveraging the benefits of data mining, we help teams scale up and access larger data volumes for analysis.
Web data collection
DataOx powers your mining with scraped web data on your competitors, industry, and general trends. You describe your use case in detail, and we adapt the delivery. The data comes prepared for AI data mining, sentiment analysis, or pattern discovery.
Data mining tools development
We build custom analytics software that runs automatically. Your team doesn’t have to load data and adjust functions. The insights appear the moment you open your dashboard. You get a reliable infrastructure and ongoing support, if you need it.
Review mining
DataOx collects reviews on your products and your competitors’ catalogs at scale, turning scattered raw text into an analysis-ready dataset. We use AI data mining to extract customer sentiment and help companies adjust their strategy before their reputation and sales are affected.
Demand forecasting
Data mining software allows you to extract trends from social media posts, search stats, and marketplace out-of-stock signals. Compare historical content and events with your sales data, extract factors that boost your product, and get notifications about similar developments in the future.
Custom AI training
Our data mining services include pulling domain-specific data points to deliver a bespoke training dataset. We scrape tech discussions from forums and gather job board data for HR AI assistant development. For legal teams, we extract data from contracts and paper archives at scale.
Lead scoring
Data mining companies like DataOx can extract details from your sales database and web sources and give shape to your ideal customer profile. See which companies are the most likely to buy first and generate more leads that meet the criteria.
Drug market intelligence
Data mining tools help pharmaceutical companies watch competitor pipeline progress by scraping regulatory approval and patent databases. We build monitoring setups to track your rivals’ price fluctuations and generics introduction timelines.
Supply chain analytics
Data mining companies deliver intelligence to improve your supply chain. We extract supplier directories, wholesale catalogs, and B2B marketplace listings to identify sourcing alternatives. You can automate the monitoring of supplier pricing and availability across procurement platforms and optimize costs.
Prices
SKUs
Availability
Job Posting
Business profiles
Ownership
Earnings
Government filings
Press releases
Complaint patterns
Reviews
Posts
Amazon
Walmart
Indeed
Glassdoor
Yahoo Finance
Google Trends
Trustpilot
G2
Yelp
Crunchbase
SEC EDGAR
ClinicalTrials.gov
PubMed
Bloomberg
Custom
Getting started with DataOx.
Step 1
Send Us a Request
Choose the Most Convenient Way to Reach Us
You can contact us through the channel that works best for you:
Email [email protected] or any contact button on our website. Our average response time is 2-4 hours during business days.
Schedule a call directly through our Calendly – the quickest way to discuss your data requirements and project scope.
WhatsApp for quick questions or to start the conversation about your project needs.
Step 2
Discuss Your Requirements (+ NDA IF NEEDED)
We Listen to Understand Your Needs
During our initial conversation, we focus on understanding your specific data requirements, business goals, and expected outcomes. For sensitive projects, we can sign an NDA before diving into details. We ask targeted questions to clarify scope and identify the best approach for your project.
What data you need and from which sources
Your timeline and delivery preferences
Technical requirements and integrations
Budget considerations and project scope
NDA and confidentiality (optional)
Step 3
Receive Your Proposal
Clear Scope, Timeline, and Pricing
You’ll receive a detailed proposal with everything you need to make an informed decision:
Project scope and deliverables
Technical approach and methodology
Timeline with key milestones
Fixed pricing with no hidden costs
Data delivery format and schedule
Step 4
Contract & Project Kickoff
Let's Make It Official and Start Building
Once you approve the proposal, we’ll sign the service agreement and introduce your dedicated project manager. Our team will be assembled and ready to start up to 10 days.
Step 5
Delivery & Ongoing Support
Reliable Results and Long-term Partnership
We deliver your data solution on time, with full documentation and support. Our relationship doesn’t end at delivery – we provide ongoing maintenance and optimization as your business grows.
Getting started with DataOx.
Step 1
Send Us a Request
Choose the Most Convenient Way to Reach Us
You can contact us through the channel that works best for you:
Email [email protected] or any contact button on our website. Our average response time is 2-4 hours during business days.
Schedule a call directly through our Calendly – the quickest way to discuss your data requirements and project scope.
WhatsApp for quick questions or to start the conversation about your project needs.
Step 2
Discuss Your Requirements (+ NDA IF NEEDED)
We Listen to Understand Your Needs
During our initial conversation, we focus on understanding your specific data requirements, business goals, and expected outcomes. For sensitive projects, we can sign an NDA before diving into details. We ask targeted questions to clarify scope and identify the best approach for your project.
What data you need and from which sources
Your timeline and delivery preferences
Technical requirements and integrations
Budget considerations and project scope
NDA and confidentiality (optional)
Step 3
Receive Your Proposal
Clear Scope, Timeline, and Pricing
You’ll receive a detailed proposal with everything you need to make an informed decision:
Project scope and deliverables
Technical approach and methodology
Timeline with key milestones
Fixed pricing with no hidden costs
Data delivery format and schedule
Step 4
Contract & Project Kickoff
Let's Make It Official and Start Building
Once you approve the proposal, we’ll sign the service agreement and introduce your dedicated project manager. Our team will be assembled and ready to start up to 10 days.
Step 5
Delivery & Ongoing Support
Reliable Results and Long-term Partnership
We deliver your data solution on time, with full documentation and support. Our relationship doesn’t end at delivery – we provide ongoing maintenance and optimization as your business grows.
custom data collection
Every scraper is built for the specific use case. You define the data points you need; we deliver them in CSV, JSON, Parquet, or other formats.
reliable timeline
Your data arrives on the schedule you choose, saving up to 70% of your team’s manual work. You can get project estimates within 72 hours and a fast MVP in 2 weeks.
high-quality data
We don’t recycle datasets. The data is collected for you specifically and is delivered fresh, matching the source websites completely.
delivery infrastructure that fits
You choose the system where you’ll use the data, and the delivery arrives without manual transfers.
bespoke mining logic
We build analytics software that has all the functions you need and leave space for scaling up.
no rigid service packages
We don’t operate on fixed product models. DataOx adapts scope, format, frequency, and delivery method per project. Here’s how we make each stage of your data mining process better.
For full details, visit our Privacy Policy
SSL Secured
GDPR Ready
CCPA Aware
Transparent Data Use
core languages
Python
Java
Java Script
web scraping & crawling
Playwright
jsoup
Scrapy
Selenium
Puppeteer
data processing & enrichment
Pandas
NumPy
Dask
PySpark
Open Refine
GPT API
Clearbit
system integration & apis
FastAPI
Spring Boot
Kafka
RabbitMQ
REST
GraphQL
document & ticket automation
Tesseract
pdfminer
Camelot
PDFBox
2Captcha
Amadeus API
Eventbrite API
custom data visualization
Plotly
Streamlit
Seaborn
Matplotlib
Bokeh
Altair
D3.js
Chart.js
Highcharts
cloud & delivery infrastructure
AWS
Docker
GitHub Actions
Redis
PostgreSQL
Firebase
Heroku
I’ve worked with Vladislav and DataOx twice now and have been impressed both times. They don’t just do everything they committed to do — on time and on budget — but they go above and beyond. On this second project, they showed initiative and added something they suspected I would want. They were right. I cannot recommend him and them any more enthusiastically. I’m a big fan.
March 13, 2026
We worked with the DataOx team on a complex internal project that involved building a custom software solution with Slack Bot integration, sophisticated server-side logic, and automated API workflows. The system needed to fetch, process, and store data in an intermediate database, and—only if specific conditions were met—push that data through additional APIs to our target software. It was no small task.
So far, everything is running flawlessly, and we couldn’t be more satisfied. Their communication was consistently sharp, fast, and proactive—so fast, in fact, we sometimes had to catch up with them! Whether it was refining a feature, squashing a bug, or adjusting requirements on the fly, the team was always on it.
What really stood out was the professionalism: we had a dedicated, experienced project manager who kept everything aligned and moving smoothly. DataOx truly listens, understands your needs, and delivers high-quality work with precision.
If we could give 10 stars, we would. Highly recommend this outstanding team—and we’re definitely looking forward to working with them again!
March 13, 2026
Prompt. Got Job Done exactly how we wanted. Communicated clearly with the team about expectations and deadlines.
March 13, 2026
High Quality, fast data scraping from the team at DataOx. Very communicative and always proactive in understanding requirements before starting the work. Used multiple times, and will be using in the future!
March 13, 2026
Both the quality and the speed of delivery were awesome, and the communication along the way with our project manager and sales leader was perfect. They were both good at eliminating ambiguity in our requirements which resulted in a delivery we are very happy with.
March 13, 2026
I worked with DataOx on a data scraping. everything was done on time and with high quality. Vladislav and his team showed a high level of professionalism and attention to detail. I recommend DataOx to anyone looking for reliable specialists in web scraping!
March 13, 2026
These guys are simply the greatest. They are timely and accurate in their work, they communicate quickly, and I feel they genuinely understand and care for our needs. Whatever we have asked for, they have delivered. They made us a web scraper and automated many processes for our webshop. We started working together with Andrew and Bogdan in November 2022, and they are a delight to work with. Bogdan as our project leader, has been great! We will continue to work with DataOx for our projects.
March 13, 2026
What is data mining?
Data mining is the process of extracting structured, usable information from large volumes of raw web and document data. DataOx collects data from multiple sources, cleans and organizes it on demand, and delivers it in a format that supports your analytics and decision-making.
What is an example of data mining?
Data mining companies like DataOx scrape job boards for labor market analysis, lead generation, and competitor intelligence. Extracted job posting details help businesses track employers’ growth strategies, technology adoption, and buying intent.
What are data mining techniques?
DataOx uses techniques like web scraping and API-based extraction to pull fields from HTML pages, JavaScript-rendered interfaces, and platform endpoints. For unstructured files, contracts, and scanned records, we use intelligent document processing. Text mining and NLP extract sentiment and patterns from large volumes of written content.
What is the best data mining tool?
The best data mining tools depend on your particular use case and purposes. The benefit of hiring an end-to-end delivery company like DataOx is full customization. Our team selects the best techniques for each step of your pipeline and builds data mining software from scratch.
How is AI used for data mining?
DataOx integrates AI data mining into scraping and validation workflows, where it adds precision and handles complexity without human intervention. At the analysis stage, NLP models perform sentiment classification, entity recognition, and trend detection across collected text data.
What are the benefits of data mining?
The core benefit is replacing slow, manual research with automated processing of large data volumes. It provides industry-wide data coverage that internal sources can’t match. DataOx data mining services help clients make informed decisions without spending weeks on data collection and analysis.
How do insurance companies use data mining?
Insurance companies integrate the data mining process into their underwriting, risk assessment, and fraud detection. DataOx extracts property records, court files, regulatory filings, and other public data to deliver it in analysis-ready format for insurance use cases.
Fill out the form — we’ll get back to you with options tailored to your needs.
what happens next
We review your goals and get in touch to clarify scope
Your privacy is a priority — NDA available upon request.
You receive a clear proposal with timeline, budget, and delivery format.
Once approved, we start building your data pipeline.
Let’s find the best solution for your data needs.
Fill out the form — we’ll get back to you with options tailored to your needs.
what happens next
We review your goals and get in touch to clarify scope
Your privacy is a priority — NDA available upon request.
You receive a clear proposal with timeline, budget, and delivery format.
Once approved, we start building your data pipeline.
Let’s find the best solution for your data needs.