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Datacol 7.34: A universal parser for collecting, processing, and exporting data from websites

Datacol 7.34: A universal parser for collecting, processing, and exporting data from websites
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Datacol 7.34: A universal parser for collecting, processing, and exporting data from websites
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1,500 ₽
Open source code
Easy to use
Verified add-ons
We are testing modules
No keys
No domain binding

Description

Datacol 7.34 Features and Capabilities

Datacol 7.34 offers a comprehensive set of features that automate data extraction from websites of any complexity. Here are the program's key features:

1. Intuitive interface and ease of use:

Visual Template Editor: A simple and intuitive interface with a visual editor that allows you to create templates for parsing without requiring programming knowledge (for basic tasks).
Project Creation Wizard: A step-by-step wizard makes setting up projects easy, especially for beginners.
Data Preview: Ability to preview extracted data at each stage of template setup.
Multilingual support: The program interface is available in various languages.

2. Flexibility and customizability:

Support for various data types: Extract text, images, links, HTML code, attributes, tables, RSS/XML feeds and other data types.
Regular Expressions (RegEx): Powerful tools for processing and filtering data using regular expressions.
XPath and CSS Selectors: Precisely target elements on web pages to extract data.
Scripting (JavaScript): The ability to use JavaScript for complex data transformations, handling dynamic content, and interacting with websites.
Conditional Logic: Implementing logical conditions to process data based on certain criteria.
Dynamic Content Support: Handling sites that use JavaScript, AJAX, and other dynamic content loading technologies.
Built-in debugger: Tools for debugging and testing templates.

3. Automation and scalability:

Automatic crawling: Crawl multiple pages, categories, search by keywords and automatically switch between them.
Task Scheduler: Run projects on a schedule to automatically collect data.
Multithreading: Processing data from multiple threads to increase parsing speed.
Proxy Server Support: Use proxy servers to bypass restrictions, hide your IP address, and increase anonymity.
Bypassing Bot Protection: Various mechanisms for bypassing anti-parsing protection, including CAPTCHA processing (via built-in services or integration with external ones).

4. Data processing:

Filter and clean data: Remove duplicates, format data, trim spaces, replace text, and other data cleaning functions.
Data Conversion: Convert data between different formats (e.g. dates, currencies).
Data Aggregation: Merging data from multiple sources.
Calculations: Performing mathematical operations on data.

5. Data export:

Various export formats: Export data to CSV, XML, JSON, Excel, TXT, HTML and other formats.
Export to databases: Export data directly to various databases (MySQL, PostgreSQL, MS SQL Server, Oracle, etc.) via ODBC or native drivers.
FTP Upload: Upload exported data to FTP server.
API integration: Ability to integrate with other applications and services via API.

6. Additional features:

Website Change Monitoring: Monitor and notify you of changes to your web pages.
UTF-8 support: Correctly handles data containing characters from different languages.
Ongoing support and updates: The developers regularly release updates, adding new features and improving performance.

Datacol 7.34 use cases:

Price data collection: Monitoring competitor prices, collecting price data from various online stores.
Content collection: Automatically extract articles, news, product descriptions from websites for further use.
Website Monitoring: Tracking changes on websites, such as price changes and product availability.
Database creation: Collecting data to create your own databases, for example for market analysis, competitor research.
SEO Analysis: Collecting data on keywords, links, and rankings for SEO optimization.
Content Marketing: Automatic content creation, data collection for content planning.
Catalogue parsing: Extracting data from product and service catalogues.
API automation: Using Datacol to interact with APIs of various services.

Conclusion:

Datacol 7.34 is a powerful and versatile tool for automating website data collection and processing. With its wide range of features, flexibility, and ease of use, Datacol 7.34 is the ideal solution for a variety of data parsing tasks. The program allows users to efficiently collect, process, and export data, saving time and effort while expanding analysis and decision-making capabilities.

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