Data Scraping:
Web Harvesting
VOLTERA has experienced data engineers who can scrap information from over 500 million web pages daily. We use crawlers that browse web pages, parsing libraries that break down web page structures, request management systems that handle IP rotation, and request throttling to avoid detection. Data transformation engines convert raw content into structured formats.
PARTNER
Web Scraping Solutions
We share programmatically navigating web environments, intelligently extracting specific data points, and converting raw web content into business intelligence through AI technologies and robotic data processing.
Automatically scrape product details, pricing, reviews, and inventory by DOM parsing, AJAX request interception, and intelligent data normalization powered by multi-source collection techniques.
Transform scattered web data into actionable intelligence with our enterprise
Scraping Data in Other Industries
We provide domain-specific customization, where scraping technologies are meticulously tailored to extract, process, and transform data through industry-unique parsing algorithms and contextual intelligence frameworks. These specialized solutions integrate deep domain knowledge, regulatory compliance mechanisms, and precise data normalization techniques.
E-commerce Insights
Fintech Intelligence
Marketing Intel
HR Tech Corporate Analytics
Insurance Risk Engineering
Logistics Optimization
Create dynamic supply chain intelligence networks that track global trade, transportation trends, and market flow indicators.
Your team wastes 63% of their time manually collecting data.
We automate that. Ready to focus on strategy instead of spreadsheets?
Turning Data into Insights: Data Scraping Success Stories
Stock relocation solution
The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.
Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
Performance Measurement
The Retail company struggled with controlling sales and monitoring employees’ performance. We implemented a software solution that tracks sales, customer service, and employee performance in real-time. The system also provides recommendations for improvements, helping the company increase profits and improve customer service.
Supply chain dashboard
The client needed to optimize the work of employees by building a data source integration and reporting system to use at different management levels. Ultimately, we developed a system that unifies relevant data from all sources and stores them in a structured form, which saves more than 900 hours of manual work monthly.
Scale your business intelligence without scaling your team.
Web Data Scraping
Process
While traditional data engineering processes focus on structured database transformations, data scraping services dynamically extract unstructured web content in real time, requiring more adaptive and intelligent parsing technologies.
Target Identification
01
Crawler Configuration
02
Data Extraction
03
Data Cleansing
04
Data Validation
05
Insight Generation
06
Challenges Addressed by Web and Mobile Development
Automation of routine information gathering
Minimizing human factor in data analysis
Reducing time and financial costs for analytics
Automation of routine information gathering
Minimizing human factor in data analysis
Reducing time and financial costs for analytics
Obtaining current and accurate market information
Scraping Services Advantages
We transform raw web data into business intelligence through automated collection and processing. They focus on delivering clean, structured, and compliant data that can be utilized within existing business systems.
Parsing Data from Internet Resources
Deep Analysis of Large Data Sets
Data Cleaning and Structuring
Integration with Corporate Management Systems
Instant Analytics and Result Visualization
