DataHen.com
DataHen is a Toronto-based data collection platform and services company offering self-service SaaS and managed enterprise services for web scraping, API integration, ETL, and BI connectivity, serving clients from startups to 500+ employee enterprises globally.
- Company typePrivate
- Founded2012
- HeadquartersToronto, Canada
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What DataHen.com does
DataHen is a Toronto-based, privately held data collection platform and services company, incorporated as DataHen Canada Inc. and founded in 2012. The company sells a self-service SaaS platform for web scraping, API integrations, and ETL processes, complemented by a fully managed services line where DataHen's team builds and maintains custom scrapers, API pipelines, and ETL workflows for enterprise clients. The platform differentiates on integrated rotating proxy infrastructure, configurable concurrent scraper execution (up to 3 on Professional, up to 20 on Enterprise), structured data export to JSON/CSV, and direct connectivity to business intelligence tools. It is sold via a hybrid go-to-market: a publicly priced self-service product-led motion ($149/month Professional, $1,000/month Enterprise) paired with direct enterprise sales for managed projects ranging from $200 to $500,000+.
DataHen serves enterprise organizations that lack in-house scraping infrastructure, as well as data engineers, data scientists, and data analysts who want a self-serve platform for custom data collection. Documented use cases include eCommerce price monitoring, competitor analysis, lead generation, and BI-driven analytics, with testimonial evidence spanning eCommerce, SaaS, services, and tech startup verticals. The company operates from Toronto with sales and phone support covering Canada, the USA, and international markets, and runs a content-led acquisition engine built around a 91+ post blog, an email newsletter, and a free DataHen Tools library of ready-made scripts.
The business model rests on three revenue streams: tiered monthly SaaS subscriptions (Professional and Enterprise), custom enterprise platform licensing with higher concurrency and page-volume ceilings, and project-based professional services sold through a Request-a-Quote workflow. Supporting sub-brands include DataMatcher.ai (an AI-powered entity and product matching service) and Till Debugger (a standalone scraping debugging tool), neither of which is material to revenue but signals continued investment in adjacent product surfaces. The company has not raised disclosed venture capital beyond a 2014 DMZ incubator participation, leaving DataHen privately funded and operating with a 11-50 person team.
DataHen.com firmographics
Firmographics- Name
- DataHen.com
- Legal name
- DataHen Canada Inc
- Website
- https://datahen.com
- Company type
- Private
- Founded year
- 2012
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- DataHen is a Toronto-based data collection platform and services company offering self-service SaaS and managed enterprise services for web scraping, API integration, ETL, and BI connectivity, serving clients from startups to 500+ employee enterprises globally.
- Ownership category
- akta.pro rank
DataHen.com industry classification
Industry- Product category
- Web Data Collection Platform
- NAICS
- Custom Computer Programming Services (541511), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372)
- akta.pro primary industry
- Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM) (BPAEAHAC)
- akta.pro secondary industry
- Data Platform (Unified Data & Analytics) Suites (HDAEABAD)
Keywords
Where DataHen.com is headquartered
LocationHeadquarters
- HQ city
- Toronto
- HQ country
- Canada
- HQ region
- North America
Offices1 record
Markets served
DataHen.com business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- SaaS Platform Subscriptions: Self-service platform with tiered monthly subscription plans. Professional Plan at $149/month and Enterprise Plan at $1,000/month, both billed monthly. These are recurring SaaS subscriptions giving teams access to the platform to build, run, and manage their own data collection processes.
- Managed Data Services: Full-service custom web scraping, API integration, and ETL services where DataHen's team builds and maintains custom data collection solutions for clients. Clients can request quotes with budgets ranging from $200 to $500,000+, indicating project-based or retainer-style professional services engagements.
- Enterprise Platform Licensing: Custom platform configurations for enterprise clients with higher concurrency (up to 20 scrapers) and page volumes (up to 2M pages/month), with email/phone-based support and BI connectivity included.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Monthly | Professional Plan — $149/month, supports teams building their own scrapers |
| Subscription | Monthly | Enterprise Plan — $1,000/month, scalable for high-volume data collection |
| Other | Multi-year contract | Custom Managed Services — quote-based project pricing |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels5 records
DataHen.com product offering
Product offeringCore offering
DataHen provides a customizable, self-service data collection platform combined with fully managed custom services for web scraping, API integrations, and ETL processes. The company sells to enterprises either as a SaaS platform (Professional $149/month, Enterprise $1,000/month) for in-house teams to code, deploy and scale their own scrapers, or as quote-based managed services for end-to-end custom data delivery.
Product overview
DataHen is a customizable data-collection platform and services company offering a unified platform-plus-services architecture for web scraping, API integrations, and ETL processes. The core DataHen Platform enables self-service data collection with features for coding, scaling and maintaining scrapers, while specialized sub-brands DataMatcher and Till Debugger provide targeted tools for data matching and debugging. The company offers both Professional ($149/month) and Enterprise ($1,000+/month) pricing tiers, along with complementary managed services including Custom Web Scraping, Custom API Integration, Custom ETL, and Business Intelligence Services that provide fully managed alternatives to the self-service platform. The DataHen Tools section provides ready-made scripts and templates including Font Extractor and Image Extractor for common data extraction tasks.
Differentiator
Problem solved
Functional benefit
Brands
- Scraping Platform: Self-service platform for coding, scaling and maintaining data collection processes
- Data Matcher
- Till Debugger
Products and services
- DataHen Platform Self-service platform for teams to code, scale and maintain their own web scraping, API integration, and ETL processes. Includes built-in rotating proxies, concurrent scraper execution, exports to JSON/CSV and other formats, and Business Intelligence connectivity for technical users such as data engineers and data scientists.
- Custom Web Scraping Service Fully managed web scraping service that delivers clean structured web data to enterprise clients without requiring them to develop or maintain their own scrapers. Sold via a Request a Quote process with budgets ranging from $200 to $500,000+.
- Custom API Integration Service Managed service that handles pushing and pulling data to third-party APIs on behalf of clients, eliminating the need to develop or maintain API integrations internally. Sold via Request a Quote.
- Custom ETL Service Managed service that processes, cleans and structures data to client specifications without requiring clients to develop or maintain their own ETL processes. Sold via Request a Quote.
- Business Intelligence Service Managed service that connects clean, structured web data directly to clients' preferred Business Intelligence tools, handling the entire data collection process. Sold via Request a Quote.
- DataMatcher AI-powered data matching tool hosted at datamatcher.ai that aligns data from multiple sources, used for product listing matching, resume-to-job matching, and eCommerce data enrichment.
- Till Debugger Web-based debugging tool hosted at till.datahen.com for inspecting and validating data scraping outputs during development and troubleshooting.
Quantifiable outcome
- Reduced time-to-data: DataHen has 'succeeded where dozens of other software and tools failed' for customers, and delivered data 'in a remarkably short period of time'
Companies that use DataHen.com
Customer profileNamed customers4 records
Segments4 records
Ideal customer profiles2 records
DataHen.com technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability4 records
Feature7 records
DataHen.com partnerships and signals
Strategic signalScale indicators2 records
Recent moves6 records
Expansion highlights5 records
DataHen.com competitors and assessment
Company assessmentDirect peers
- Apify: Apify runs a cloud platform for building, deploying, and monetizing web scrapers and automation actors — a direct competitor to DataHen's self-service scraping platform with very similar PLG positioning and developer persona.
- Bright Data: Bright Data is one of the largest web data platforms, combining a global proxy network (comparable to DataHen's rotating proxies), a managed scraping product, and datasets — overlapping with both DataHen's SaaS platform and managed services.
- Zyte (formerly Scrapinghub): Zyte provides web scraping tools, proxy services, and a managed data extraction service — directly comparable to DataHen's platform-plus-services web scraping offering.
- ScraperAPI: ScraperAPI provides proxy rotation and structured data APIs aimed at developers, analogous to DataHen's Professional/Enterprise tiers for code-first scraping at scale.
- ScrapingBee: ScrapingBee offers a web scraping API with headless browser rendering and proxy rotation, targeting the same data engineer / data scientist buyer that DataHen's platform serves.
- Octoparse: Octoparse is a no-code/low-code visual web scraping platform with enterprise offerings — competitive with DataHen's self-service platform and eCommerce/enterprise use cases.
- Diffbot: Diffbot offers AI-based web data extraction as a service and knowledge graph products, comparable in customer base (enterprises needing structured web data) and in the AI-assisted scraping element of DataHen's roadmap.
- Import.io: Import.io provides web data extraction platform and managed services to enterprises, closely mirroring DataHen's dual platform+services model for web data delivery.
Broad incumbents
- Fivetran: Fivetran is a leading automated data integration/ELT platform — adjacent to DataHen's ETL offering and a likely downstream consumer of DataHen-style scraping outputs that get funneled into a warehouse.
- Airbyte: Airbyte is an open-source data integration platform targeting the same data engineer persona as DataHen, with overlapping ETL/API integration use cases though focused on connector breadth rather than web scraping.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat4 records
Key risks6 records
Key highlights7 records
Customer concentration
DataHen.com social profiles
Digital presenceDataHen.com financial estimates
Financial estimateRevenue estimate
Valuation estimate
DataHen.com leadership team
Management profileNumber of profiles
Profiles2 records
DataHen.com funding detail
Funding detailFunding overview
Funding rounds1 record
Investors1 record
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
DataHen.com 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 DataHen.com
What does DataHen.com do?
DataHen provides a customizable, self-service data collection platform combined with fully managed custom services for web scraping, API integrations, and ETL processes. The company sells to enterprises either as a SaaS platform (Professional $149/month, Enterprise $1,000/month) for in-house teams to code, deploy and scale their own scrapers, or as quote-based managed services for end-to-end custom data delivery.
Is DataHen.com a public or private company?
DataHen.com is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was DataHen.com founded?
DataHen.com was founded in 2012. It employs 11 to 50 people.
Where is DataHen.com based?
DataHen.com is headquartered in Toronto, Canada, in the North America region.
How does DataHen.com make money?
Three revenue lines are on record. SaaS Platform Subscriptions are the primary driver. The others are managed Data Services and enterprise Platform Licensing.
Who are DataHen.com's main competitors?
Direct peers on record are Apify, Bright Data, Zyte (formerly Scrapinghub), ScraperAPI, ScrapingBee, Octoparse, Diffbot and Import.io. Broad incumbents are Fivetran and Airbyte.
Does DataHen.com have an API?
Yes. DataHen provides API access for data retrieval. The platform offers documentation at docs.datahen.com with a Getting Started guide, enabling users to code, deploy and maintain their own data collection processes with API integration capabilities. Developer documentation is at docs.datahen.com/en/latest.
What industry is DataHen.com in?
DataHen.com's product category is Web Data Collection Platform. Its primary akta.pro industry code is BPAEAHAC, Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM), with a secondary code of HDAEABAD, Data Platform (Unified Data & Analytics) Suites. Its NAICS code is 541511 and its SIC code is 7370.