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Data Scraping Encyclopedia>Data Scraping Noun

【Data Scraping Noun】Vertical Crawling

Vertical Crawling is a web crawling technique that targets data collection within a specific domain, industry, or topic. Unlike general search engines that broadly cover all types of web pages, vertical crawling focuses on particular verticals such as e-commerce, job listings, real estate, news, or academic papers. It uses predefined site lists, structured parsing rules, and domain knowledge to accurately extract key information and build high-quality structured datasets for specific scenarios.

2026-03-25 07:32:00
【Data Scraping Noun】Web Snapshot Collection

Web Snapshot Collection refers to the technical process of fully capturing, storing, and archiving web page content at a specific point in time using web crawlers or automated tools. Unlike conventional text or structured data collection, web snapshot collection focuses on preserving the original presentation state of a web page at a given moment, including HTML structure, Cascading Style Sheets (CSS), JavaScript scripts, images, videos, and other multimedia resources, as well as user interaction states and page layout information. This technology "freezes" web page content into static copies, enabling traceable records of web page historical states, providing foundational support for information preservation, evidence retention, content comparison, and archival research.

2026-03-24 07:23:00
【Data Scraping Noun】Deep Crawling

Deep Crawling refers to a technical method in which a web crawler not only collects information from the homepage or surface pages of a target website but also recursively follows links within pages to continuously access and collect data from deeper levels of the site. Unlike shallow crawling, which only captures surface-level pages, deep crawling can penetrate a website's directory structure, pagination navigation, category links, and dynamically loaded content, thereby obtaining more comprehensive and complete data resources. This technique typically requires the integration of link deduplication, crawling strategy optimization, anti-scraping mechanism handling, and distributed scheduling to efficiently and stably complete large-scale data collection tasks.

2026-03-23 07:05:00
【Data Scraping Noun】Data Source Identification

Data Source Identification refers to the systematic identification, classification, and organization of information such as the source, storage location, data format, update frequency, and responsible person of various types of data existing within and outside an organization or system.

2026-02-26 06:43:00
【Data Scraping Noun】Data Listener

Data Listener is a mechanism or component that continuously monitors data changes, arrivals, or events within a system or application, triggering appropriate processing or notifications when these changes are detected.

2026-02-25 06:38:00
【Data Scraping Noun】Data Refresh Policy

Data Refresh Policy refers to a set of rules and mechanisms used to manage the update, synchronization, and invalidation of data within storage systems, defining the methods and frequency for maintaining consistency between source and target data.

2026-02-06 06:21:00
【Data Scraping Noun】Push-Pull Model

Push-Pull Model is an architectural pattern that describes the data transmission mechanism between system components, defining the interaction between data producers (sources) and data consumers (targets).

2026-02-03 07:19:00
【Data Scraping Noun】Data Trigger

Data Trigger is a mechanism that automatically executes predefined processes or workflows when specific events, such as data creation, updates, or deletion, occur.

2026-01-27 19:05:59
【Data Scraping Noun】Queue Data Structure

Queue Data Structure is a linear data structure organized on the First-In-First-Out (FIFO) principle. It models real-world queuing behavior, where data elements are added at one end (called the rear) and removed from the other end (called the front) in the same order they were inserted.

2026-01-26 02:48:00
【Data Scraping Noun】Data Pipeline

Data Pipeline refers to a set of data processing steps and tools used to extract data from a source, transform it, process it, and ultimately load it to a target location within a data system. It typically includes stages such as data extraction, cleaning, transformation, and loading (ETL).

2025-12-25 09:20:00