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Data Scraping Encyclopedia>Data Scraping Noun

【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
【Data Scraping Noun】Modern Data Stack (MDS)

Modern Data Stack (MDS) refers to a collective term for modern data analysis and utilization platforms built on cloud-native technologies.

2025-12-25 07:02:00
【Data Scraping Noun】Adaptive Crawling Strategy

An Adaptive Crawling Strategy is a crawling method used in web crawlers or data collection systems that dynamically evaluates factors such as the update frequency, importance, response status, and resource constraints of target websites to flexibly adjust crawling targets, frequency, and priority.

2025-12-25 01:57:00
【Data Scraping Noun】Data Middle Platform

Data Middle Platform refers to a core data infrastructure that unifies, standardizes, and manages business data, system data scattered across an enterprise or organization, as well as external data in a reusable manner.

2025-12-24 06:12:00
【Data Scraping Noun】Targeted Data Collection

Targeted data collection is a technical process that accurately identifies, extracts, and integrates structured or unstructured data from diverse data sources to meet specific goals or needs. Its core lies in achieving accuracy and efficiency in data collection through pre-defined rules (such as subject area, data type, and time range), while avoiding interference from irrelevant data.

2025-11-26 15:19:30
【Data Scraping Noun】Data Collection Rules

Data collection rules are a standard framework for regulating the data acquisition process. Core requirements include legality and compliance (such as user authorization and de-identification), clear purpose (collecting only the data necessary for the business), minimum scope (avoiding redundant information), accuracy and completeness (ensuring quality through verification), and security and controllability (encrypted transmission and access control) to ensure data availability, compliance, and security.

2025-11-26 07:11:00
【Data Scraping Noun】Web API Fetching

Web API Fetching is mainly implemented using the Fetch API, which is a modern HTTP client interface based on Promise, used for asynchronous resource retrieval in browsers and Node.js (version 18+) environments. It sends requests through the fetch() method, supports cross origin resource sharing (CORS), and returns a Promise object parsed as a response result. It is suitable for scenarios that require dynamic data loading, backend interaction, or A/B testing.

2025-11-20 06:03:00
【Data Scraping Noun】Data Extractor

Data Extractor is a tool used to accurately extract target data from diverse data sources such as files, web pages, databases, or debuggers. Its core function is to convert scattered or unstructured data into usable structured formats through rule matching, pattern recognition, or structured parsing.

2025-11-18 02:33:00