DataMiners
DataMiners sp. z o.o. is a Szczecin, Poland-based managed data extraction and web scraping services provider serving enterprise and mid-market clients across e-commerce, real estate, travel, FMCG, banking, manufacturing, and other verticals using AI-augmented scraping technology.
- Company typePrivate
- Founded2021
- HeadquartersSzczecin, Poland
- Headcount1–10
- GTM typeB2B
- OfferingServices
What DataMiners does
DataMiners sp. z o.o. is a privately held Polish managed services company headquartered in Szczecin, operating since 2021 as a legal entity, that delivers AI-assisted web scraping and data extraction services to enterprise and mid-market clients globally. The company runs a managed services model rather than a self-serve product or public API: customers describe requirements via a free-quote intake on the company website, the CEO personally scopes projects, and DataMiners delivers tailored extractions. Core offerings include Web Scraping / Data Extraction (bulk acquisition from designated sources), Information Monitoring (real-time price, availability, and review tracking at predefined intervals), Recurring/Cyclic Operations (automated scheduled data collection), B2B Leads and Data Enrichment (contact data augmentation from global B2B databases), and AI-Powered Data Services (ChatGPT/LLM-based document classification, sentiment analysis, report generation, and programmatic SEO). Supporting technology includes proprietary scraping algorithms, anti-bot circumvention expertise, and a catalog of 100+ maintained data sources spanning e-commerce, travel, real estate, job boards, social media, and corporate directories.
The company serves 8 vertical segments — E-commerce (primary), Job Market, Real Estate, Tourism & Travel, FMCG, Banking & Finance, Manufacturing, and Regenerative Agriculture — and lists enterprise clients including Reckitt, Decathlon, Volkswagen, IKEA, Ptak Warsaw Expo, Hutchinson, Winona e-Solutions, NoFluffJobs, and Messe Berlin, alongside academic institutions such as the University of Virginia and Adam Mickiewicz University. Revenue is generated primarily through project-based professional services pricing (quote-driven, pay-as-you-go) supplemented by a recurring monitoring subscription layer. There is no disclosed external funding, no M&A activity, no partnerships, and no publicly available API. The organization is small (1-10 employees) and is led by CEO Wojciech Żeglin, who plays a hands-on role in sales and project scoping. Distribution is direct via website-driven inbound and inside sales to enterprise and mid-market buyers across Europe, North America, and EMEA.
The fundamental business model is services-led rather than platform-led: value is delivered through human-supervised project execution rather than customer-operated software. Strategic emphasis has shifted toward recurring revenue (monitoring, cyclic operations) and AI-augmented services, while the company simultaneously broadens its vertical footprint and stakes out a position as a one-stop data acquisition partner for non-technical enterprise buyers.
DataMiners firmographics
Firmographics- Name
- DataMiners
- Legal name
- DataMiners sp. z o.o.
- Website
- https://dataminers.co
- Company type
- Private
- Founded year
- 2021
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- DataMiners sp. z o.o. is a Szczecin, Poland-based managed data extraction and web scraping services provider serving enterprise and mid-market clients across e-commerce, real estate, travel, FMCG, banking, manufacturing, and other verticals using AI-augmented scraping technology.
- Ownership category
- akta.pro rank
DataMiners industry classification
Industry- Product category
- Web Data Extraction Services
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210)
- SIC
- Services-Computer Processing & Data Preparation (7374), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM) (BPAEAHAC)
- akta.pro secondary industries
- Marketing Database & Contact Data Providers (B2B/B2C Lists) (BPAFAKAF), Data Discovery, Classification & Labeling (HDADAFAF)
Keywords
Where DataMiners is headquartered
LocationHeadquarters
- HQ city
- Szczecin
- HQ country
- Poland
- HQ region
- Europe
Offices1 record
Markets served
DataMiners business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales
Revenue model
- Managed Data Extraction Services: Custom web scraping solutions where DataMiners extracts specific data from designated sources for clients. Projects are scoped and quoted individually, with pricing based on complexity, volume, and data source requirements.
- Information Monitoring Services: Ongoing monitoring services tracking prices, availability, reviews, and other information at predefined intervals. Provides real-time market analysis for e-commerce, travel, and other industries.
- B2B Data Enrichment: Database enrichment services providing contact details (emails, phones, social media) for companies. Uses B2B databases covering millions of companies globally.
- Cyclic Operations and Automation: Custom software development for automated recurring data collection processes that execute at defined intervals for continuous data acquisition.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | Pay-as-you-go | Project-based pricing for custom data extraction solutions |
Go-to-market motion1 record
Distribution channels2 records
Marketing channels5 records
DataMiners product offering
Product offeringCore offering
DataMiners provides managed web scraping and data extraction services, extracting large quantities of structured data from designated online sources for enterprise and mid-market clients. It complements extraction with continuous information monitoring (prices, inventory, reviews), recurring/cyclic automation, B2B lead database enrichment, and AI-powered document classification, sentiment analysis, and report generation using LLMs.
Product overview
DataMiners is a managed data extraction and web scraping service provider offering a portfolio of interconnected services. The core offering consists of Web Scraping/Data Extraction for bulk data acquisition, Information Monitoring for real-time price and availability tracking, and Recurring/Cyclic Operations for automated repetitive data collection. These core services are supplemented by B2B Leads and Data Enrichment for contact database augmentation, AI-Powered Data Services leveraging ChatGPT and LLMs for document classification and content analysis, and Social Media Monitoring for tracking posts, comments, and sentiment across platforms. The company operates as a managed service model where customers submit requirements via quote requests, with no documented public API. They serve industries including E-commerce, Job Market, Real Estate, Tourism, FMCG, Banking and Finance, Manufacturing, and Regenerative Agriculture, with case studies demonstrating expertise in extracting data from 45,000+ exhibitor databases and monitoring product prices across hundreds of online stores.
Differentiator
Problem solved
Functional benefit
Products and services
- Web Scraping / Data Extraction Managed extraction of large quantities of structured data from designated web sources within exceptionally short timeframes. Proprietary solutions enable scalable data extraction operations for corporate clients across e-commerce, job boards, real estate, travel, FMCG, banking, and manufacturing.
- Information Monitoring Real-time tracking of product prices, inventory levels, tickets, accommodation, customer reviews, and delivery information across major e-commerce platforms and other sources at predefined intervals, enabling real-time market analysis.
- Recurring/Cyclic Operations Custom software solutions designed to execute and automate repetitive data collection processes at defined intervals, enabling continuous market analysis and reporting without manual intervention.
- B2B Leads and Data Enrichment Database enrichment services providing email addresses, phone numbers, postal addresses, and social media profile links for companies worldwide, drawing on B2B databases covering millions of companies globally.
- AI-Powered Data Services Artificial intelligence services leveraging ChatGPT and other LLM models for automated document classification, content analysis, sentiment analysis, report generation, analytics generation, and programmatic SEO strategies applied to extracted data.
Quantifiable outcome
- 40% growth for marketing department client over two years of collaboration
- +2 more outcomes
Companies that use DataMiners
Customer profileNamed customers14 records
Segments8 records
Ideal customer profiles2 records
DataMiners technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability8 records
Feature5 records
DataMiners partnerships and signals
Strategic signalScale indicators7 records
Recent moves5 records
Expansion highlights5 records
DataMiners competitors and assessment
Company assessmentDirect peers
- Diffbot: Diffbot uses AI/computer vision to extract structured data from web pages and offers Knowledge Graph APIs — comparable to DataMiners' AI-powered extraction and enrichment approach, but at a larger, more productized scale.
- Bright Data: Bright Data is a leading web data platform offering proxy networks, scraping APIs, and pre-collected datasets — directly comparable to DataMiners' enterprise web-scraping and monitoring services, with a much larger productized footprint.
- ParseHub: ParseHub is a visual web scraping tool supporting complex data extraction from interactive sites — overlaps with DataMiners on custom extraction projects for clients without in-house scraping capability.
- Apify: Apify operates a marketplace and platform for web scraping actors and crawlers, serving both developers and business users — comparable to DataMiners in custom scraping and monitoring use cases.
- PhantomBuster: PhantomBuster provides automation tools for data extraction from social media and various web platforms — comparable to DataMiners' social-media monitoring and contact-enrichment offerings.
- Zyte (formerly Scrapinghub): Zyte provides web data extraction tools (Scrapy Cloud, Zyte API) and managed scraping services for enterprises — a direct competitor to DataMiners in managed extraction and large-scale crawling.
- ScrapingBee: ScrapingBee provides a web-scraping API with headless-browser rendering and proxy rotation — overlaps with DataMiners' automated extraction offering, particularly for hard-to-scrape sites.
- Octoparse: Octoparse is a no-code web scraping tool used by both enterprises and SMBs for structured data extraction — comparable to DataMiners on the customer-facing extraction side, though more productized/self-serve.
Broad incumbents
- Import.io: Import.io is an established enterprise web data platform offering extraction, transformation, and integration at scale — overlaps with DataMiners' enterprise data extraction business but with a broader product suite and global enterprise customer base.
Emerging players
- Browse.ai: Browse.ai offers a no-code, robot-based web scraping and monitoring platform for non-technical users — competes with DataMiners' monitoring/repeated-collection use cases from the SMB and mid-market side.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat4 records
Key risks6 records
Key highlights7 records
Customer concentration
DataMiners social profiles
Digital presenceDataMiners financial estimates
Financial estimateRevenue estimate
Valuation estimate
DataMiners leadership team
Management profileNumber of profiles
Profiles1 record
DataMiners funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
DataMiners M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about DataMiners
What does DataMiners do?
DataMiners provides managed web scraping and data extraction services, extracting large quantities of structured data from designated online sources for enterprise and mid-market clients. It complements extraction with continuous information monitoring (prices, inventory, reviews), recurring/cyclic automation, B2B lead database enrichment, and AI-powered document classification, sentiment analysis, and report generation using LLMs.
Is DataMiners a public or private company?
DataMiners is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was DataMiners founded?
DataMiners was founded in 2021. It employs 1 to 10 people.
Where is DataMiners based?
DataMiners is headquartered in Szczecin, Poland, in the Europe region.
How does DataMiners make money?
Four revenue lines are on record. Managed Data Extraction Services are the primary driver. The others are information Monitoring Services, B2B Data Enrichment and cyclic Operations and Automation.
Who are DataMiners's main competitors?
Direct peers on record are Diffbot, Bright Data, ParseHub, Apify, PhantomBuster, Zyte (formerly Scrapinghub), ScrapingBee and Octoparse. Import.io is listed as a broad incumbent. Browse.ai is listed as an emerging player.
Does DataMiners have an API?
No public API is recorded for DataMiners.
What industry is DataMiners in?
DataMiners's product category is Web Data Extraction Services. Its primary akta.pro industry code is BPAEAHAC, Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM), with a secondary code of BPAFAKAF, Marketing Database & Contact Data Providers (B2B/B2C Lists). Its NAICS code is 51821 and its SIC code is 7374.