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USE CASE

Web Scraping Data Collection

Collecting data for conducting audits of products and services offered on online platforms
E - commerce Using machine learning in online trading
Parsing Automated collection of information from websites
Classification Process of recognition and grouping of objects into preset categories
Data collection Gathering data for subsequent annotation
10+
languages
20+
marketplaces
450+
product categories

Our Partners

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CASE DESCRIPTION

Extraction of information about Marketplace cards at the time of parsing and with the dynamics of changes in product descriptions for two weeks and a month

Collection of 150,000 cards in 15 days

Labeling of 5,000 products in 30 days

Data is structured in a .csv table

APPLICATION AREAS OF THE DATASET

Marketing and Sales:

Text classification and analysis for understanding customer preferences and behavior

Competitive Analysis:

Parsing to gather information about competitors, their products, and prices, as well as market analysis

Price Monitoring:

Parsing to track changes in product prices and analyze price competitiveness

Product Quality and Reviews Analysis:

Parsing to assess product quality and customer reviews, aiming to improve service and increase customer satisfaction

DIDN'T FIND THE NECESSARY INFORMATION?

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Why
Training Data

  • Quality Assurance:
  • Enhanced Data Accuracy
  • Consistency in Labels
  • Reliable Ground Truth
  • Mitigation of Annotation Biases
  • Cost and Time Efficiency
  • Data Security and Confidentiality:
  • GDPR Compliance
  • Non-disclosure agreement
  • Data Encryption
  • Multiple data storage options
  • Access Controls and Authentication
  • Expert Team:
  • 6 years in industry
  • 35 top project managers
  • 40+ languages
  • 100+ countries
  • 250k+ assessors
  • Flexible and Scalable Solutions:
  • 24/7 availability of customer service
  • 100% post payment
  • $550 minimum check
  • Variable Workload
  • Customized Solutions

Team leads project

Vladislav Barsukov
Operations manager
Arthur Kazukevich
Python-developer
Kristina Bugaeva
Project manager
woman

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