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Data Scraping Encyclopedia>Data Scraping Noun

【Data Scraping Noun】Data Acquisition Channel

Data acquisition channel is the pathway and method for collecting data from sources and transmitting it to target systems—the starting point of the data value chain.

2026-06-29 16:55:53
【Data Scraping Noun】Third-party Data Integration

Third-party Data Integration refers to the process by which enterprises obtain data from external data sources or services and utilize it within their own systems and applications.

2026-06-29 11:19:46
【Data Scraping Noun】Data Interface Standard

Data Interface Standard refers to a unified specification that defines how data is collected, transmitted, exchanged, accessed, and shared, including data formats, field definitions, encoding rules, communication protocols, interface methods, response structures, and error handling. Its core purpose is to ensure consistent, stable, and scalable interoperability among different systems, platforms, devices, and applications, thereby improving data sharing efficiency and system integration capability.

2026-06-15 08:32:00
【Data Scraping Noun】Network Monitoring

Network Monitoring refers to the continuous collection and analysis of network traffic, device status, connection quality, and abnormal events through monitoring tools, probes, or logging systems. It helps detect failures, performance bottlenecks, and security risks in time, making it essential for maintaining stable network operations.

2026-05-21 16:45:03
【Data Scraping Noun】User Behavior Tracking

2026-05-21 16:40:57
【Data Scraping Noun】Automated Collection Workflow

Automated Collection Workflow refers to a process in which data is automatically gathered, transmitted, validated, and stored through predefined rules, scripts, sensors, or system interfaces. It reduces manual effort and improves the efficiency, accuracy, and continuity of data collection, making it an important foundation for digital operations and intelligent monitoring.

2026-05-19 16:37:08
【Data Scraping Noun】IoT Data Acquisition

IoT Data Acquisition refers to the process of collecting real-time data from devices, environments, or industrial systems through sensors, gateways, and communication networks, and sending it to local or cloud platforms for storage, analysis, and monitoring. It is a core foundation for Industrial IoT, smart cities, and intelligent operations.

2026-05-18 16:24:24
【Data Scraping Noun】Sensor Data Collection

Mobile data collection refers to the technical process of using mobile devices such as smartphones and tablets to capture location trajectories, images, videos, audio, and operational logs in real time through built-in sensors (GPS, accelerometer, gyroscope, etc.), cameras, microphones, and user interaction behaviors (clicks, swipes, inputs, etc.). It offers advantages such as portability, real-time capability, and high coverage, breaking the limitations of traditional fixed-point collection.

2026-04-27 20:08:02
【Data Scraping Noun】Mobile Data Collection

Mobile data collection refers to the technical process of using mobile devices such as smartphones and tablets to capture location trajectories, images, videos, audio, and operational logs in real time through built-in sensors (GPS, accelerometer, gyroscope, etc.), cameras, microphones, and user interaction behaviors (clicks, swipes, inputs, etc.). It offers advantages such as portability, real-time capability, and high coverage, breaking the limitations of traditional fixed-point collection.

2026-04-24 20:03:03
【Data Scraping Noun】Data Ingestion

Data ingestion is the process of bringing raw data from various sources (such as business systems, databases, IoT devices, log files, etc.) into a data lake, either in batch or real-time mode. It supports the unified collection and transmission of structured, semi-structured, and unstructured data. As the first step in building a data lake platform, it provides foundational data support for subsequent data processing, analysis, and mining.

2026-04-22 19:49:27