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Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

List of ParseHub Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
nousDECOR Retail 440 $136M United States ParseHub ParseHub Intelligent Process Automation 2015 n/a
In 2015, nousDECOR deployed ParseHub, an application in the Intelligent Process Automation category, to scrape product and listing data from brand name and boutique ecommerce sites and build a comprehensive product library for its web and mobile interior design application. The ParseHub implementation concentrated on product and catalog aggregation for ecommerce, applying templated scraping workflows and rule based extraction to standardize listing attributes, capture images, and support improved search and discovery within the nousDECOR application. Operational control was shifted to nontechnical merchandising and content teams in the United States, enabling staff to run scrapers, validate captures, and accelerate content onboarding without continuous developer intervention. ParseHub fed normalized product records and images into nousDECOR's content pipeline for web and mobile consumption, and governance was structured around role based project access, template versioning, and scheduled extraction jobs to maintain content freshness and reduce developer overhead.
Royal Bank of Canada Banking and Financial Services 96628 $48.6B Canada ParseHub ParseHub Intelligent Process Automation 2021 n/a
In 2021, Royal Bank of Canada implemented ParseHub within its Intelligent Process Automation portfolio. The vendor lists Royal Bank of Canada on the ParseHub Plus customer page, indicating deployment of the ParseHub application for web scraping and data extraction. Public-facing information supports inference that ParseHub's web-scraping and data-extraction capabilities were used to harvest public finance and market data to feed analytics and market-data workflows. Typical Intelligent Process Automation capabilities such as scheduled crawling, data transformation, and structured export to analytics platforms align with the usage implied by the vendor listing. The vendor page does not disclose system integrator, specific technical integrations, rollout governance, or measurable outcomes, so implementation governance and cost details are not publicly stated. Operational scope is inferred to focus on finance and analytics functions in Canada based on the vendor reference and the bank's market presence.
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FAQ - APPS RUN THE WORLD ParseHub Coverage

ParseHub is a Intelligent Process Automation solution from ParseHub.

Companies worldwide use ParseHub, from small firms to large enterprises across 21+ industries.

Organizations such as Royal Bank of Canada and nousDECOR are recorded users of ParseHub for Intelligent Process Automation.

Companies using ParseHub are most concentrated in Banking and Financial Services and Retail, with adoption spanning over 21 industries.

Companies using ParseHub are most concentrated in Canada and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of ParseHub across Americas, EMEA, and APAC.

Companies using ParseHub range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 50%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 50%.

Customers of ParseHub include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified ParseHub customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Intelligent Process Automation.