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Product Data Scrape

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Overview

$5,000+

Min Project Size

$25 - $49/hr

Avg Hourly Rate

50 - 249

Employees

2022

Year Founded

ABOUT PRODUCT DATA SCRAPE

Ecommerce Data Scraping | Data Analytics Solutions

Product Data Scrape aims to provide advanced and innovative solutions by offering valuable data insights, access to dashboards, and tracking of KPI achievements. With a global presence, we focus on delivering customized solutions to our clients, which allows us to be both flexible and comprehensive. Our core strength is elevating the company by prioritizing our customers. We are dedicated to delivering top-quality services and have a 24/7 support system in place to ensure that all inquiries are handled promptly and efficiently.
LANGUAGES SPOKEN
English
HIGHLIGHTS

$5,000+

Min Project Size

$25 - $49/hr

Avg Hourly Rate

50 - 249

Employees

2022

Year Founded

Services
Focus
Industries
Clients
Services Provided
100% BI & Big Data Consulting & SI

About the Team

OUR STORY
Product Data Scrape is a global leader in delivering tailored data insights and automated reporting solutions, designed to empower businesses with real-time product and market intelligence. With expertise in retail data scraping, the company offers customizable, accurate datasets covering pricing, inventory, and consumer trends across numerous international markets. Committed to customer success, their 24/7 support and expert teams collaborate closely with clients to optimize strategies, enhance decision-making, and drive measurable growth. By continuously innovating and staying attuned to evolving consumer packaged goods trends through webinars and research, Product Data Scrape enables brands to stay competitive through dynamic pricing, competitor analysis, and comprehensive market analytics. Their proven approach helps clients significantly boost sales and operational efficiency across e-commerce and retail sectors.

Projects & Clients

Project Size & Rate
Minimum Project Size

$5,000+

Average Hourly Rate

$25 - $49/hr

Goodisnotgoodenough.