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AI-Powered Web Scraping: Automate Data Collection with Neural Networks

Develop highly accurate web scrapers using neural networks for automated data extraction from any platform. Minimize errors and improve efficiency in processing large volumes of information for analysis and monitoring.

from 260 RUB/hour Pilot in 2-4 weeks Data isolation

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High data processing accuracy.

We use neural network algorithms to minimize errors in data collection, ensuring accuracy even when working with unconventional or complex sources of information.

Process Automation

Our parsers operate fully automatically, significantly reducing the time spent collecting data and eliminating human error.

Scalability and flexibility

We develop solutions that scale easily and can be customized to handle any volume of data, regardless of the complexity or size of the platforms.

Support for any platform.

Our parsers can collect data from any website or platform, including dynamic resources, making our solutions versatile for various business needs.

Benefits

What clients value us for.

High data processing accuracy.

We use neural network algorithms to minimize errors in data collection, ensuring accuracy even when working with unconventional or complex sources of information.

Process Automation

Our parsers operate fully automatically, significantly reducing the time spent collecting data and eliminating human error.

Scalability and flexibility

We develop solutions that scale easily and can be customized to handle any volume of data, regardless of the complexity or size of the platforms.

Support for any platform.

Our parsers can collect data from any website or platform, including dynamic resources, making our solutions versatile for various business needs.

Easy Integration

We offer solutions that easily integrate with your existing systems and workflows, requiring no complex setup or additional resources.

Analytics and Reporting

All collected data can be analyzed and visualized using built-in reporting tools, which aids in making strategic decisions.

How we work

We dive deep from the first call.

Step 01

Consultation and requirements analysis.

We conduct a detailed analysis of your needs to understand what data you need to collect and which platforms to use. Based on this, we develop a customized solution for your business.

Step 02

Contract signing.

We establish a contract with clearly defined terms and deadlines, guaranteeing the fulfillment of all obligations and the achievement of the set goals.

Step 03

Concept development for a parser.

We're developing a unique parser concept that uses neural network technology for accurate and efficient data extraction from your platforms.

Step 04

Project details coordination.

We discuss all the details with you to precisely tailor the parser to your requirements and tasks. We make adjustments to the project if necessary.

Step 05

Creating a Work Plan

We are developing a detailed plan with specific timelines, stages of execution, and checkpoints for parser development.

Step 06

Parser development and testing.

We build a parser, test it on real data to ensure its accuracy and effectiveness, and then optimize it for optimal performance.

Step 07

Integration and Launch

We integrate the ready-made solution into your business processes and ensure seamless parser operation throughout the entire data collection process.

Step 07

Long-term support

We offer long-term support services for parser updates, functionality improvements, or assistance in finding specialists for ongoing maintenance.

Step 08

Free support for 3 months.

We offer free support and maintenance for 3 months after the parser is launched to ensure stable operation.

Who this is for

Typical usage scenarios.

Manufacturing companies

Parsers can help automate equipment status monitoring, analyze data about production processes, and optimize supply chains, which will reduce costs and improve efficiency.

Retail and e-commerce

Parsers are ideal for tracking competitor pricing and product offerings, analyzing consumer preferences, and optimizing logistics and inventory management.

Large and medium-sized companies

Parsers help automate data collection for analytics and reporting, monitor social media and news, and manage projects, which significantly improves decision-making.

Financial sector

Neural network-based parsers are used to analyze financial transactions, monitor market trends, and assess risks, which helps improve the accuracy of forecasts and strengthen data security.

Marketing and advertising agencies

Parsers help collect and analyze data about advertising campaigns, competitor activities, and market trends, which allows for improved strategies and increased advertising effectiveness.

Technology

We use reliable, production-ready tools.

Python

One of the most popular programming languages for developing neural networks and parsers. Thanks to its rich set of libraries, Python is ideally suited for big data processing and implementing complex algorithms.

TensorFlow

An open-source machine learning library from Google, widely used for developing neural network models and data processing. It enables the creation and training of models that effectively analyze and process data.

BeautifulSoup

A Python library for parsing HTML and XML documents. It's used for extracting data from web pages, transforming and cleaning information, making it an ideal tool for data collection.

Scrapy

A powerful Python framework for building web scrapers (parsers) that helps automate data collection from websites, providing high speed and flexibility in configuration.

Keras

A high-level neural network library built on top of TensorFlow. It's used for rapid prototyping and building efficient machine learning models.

Pandas

Python library for data analysis and manipulation. It allows you to easily process large volumes of data, making it ideal for analyzing parsing results and further working with them.

OpenCV

A computer vision library for processing images and videos. It's suitable for parsing visual data, such as screenshots from websites or videos from online platforms.

FAQ

Answers to common questions.

A neural network-based parser is a tool that uses artificial intelligence to automatically collect data from websites and platforms. Neural networks help improve the accuracy and speed of data processing, minimizing errors and increasing analysis efficiency.

AI-powered parsers enable the automation of data collection and processing from various sources, including websites, social media, and databases. This helps businesses reduce costs associated with information analysis, improve forecast accuracy, and accelerate decision-making.

AI-powered parsers offer greater accuracy and adaptability because they can learn from real-world data and improve their performance over time. Unlike traditional parsers, they handle unconventional formats and complex data sources more effectively.

We use technologies like Python, TensorFlow, Keras, Scrapy, and BeautifulSoup to build parsers. These tools enable the development of accurate and efficient parsers capable of collecting and analyzing large volumes of data from various platforms.

AI-powered parsers are suitable for many industries, including manufacturing, retail, e-commerce, finance, and large enterprises. They help automate data collection, improve customer experience, analyze financial transactions, and forecast trends.

AI-powered parsers can collect various types of data, including text, images, videos, prices, user reviews, social media data, and more. This makes them versatile for a wide range of tasks.

The development time for a parser depends on the complexity of the task and the amount of data. Typically, developing a parser based on neural networks takes from a few weeks to several months. We always provide clear timelines and project milestones.

Yes, after implementing neural network-based parsers, we offer free support for 3 months. Following that, we provide long-term maintenance services for updates, improvements, and adapting the parser to new tasks.

Let's discuss your task

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