scrapers

简明释义

英[ˈskreɪpəz]美[ˈskreɪpərz]

n. [机]刮刀；刮运机（scraper 的复数）

英英释义

单词用法

同义词

反义词

例句

1.Applications of spiders and scrapers.

spider和scraper的应用程序。

2.Scrapers sometimes fight back with software that deciphers captchas.

信息搜集公司有时用能破译验证码的软件予以还击。

3.It also acquired a company called Octazen that, from what we’ve heard, is an elite team of professional data scrapers and contact importers.

它也收购了一家叫Octazen的公司，从那里我们知道那是一个拥有专业数据整理和联系人导入能力的卓越的小组。

4.Scrapers, which extract data by examining the structure and layout of a Web page

它通过检查网页的结构和布局提取数据

5.One of the reasons of inefficient and low reliability for old scrapers is the mechanism design no proper.

通过比较，指出由于机构设计的不合理，使旧式的刮渣器工作效率低，可靠性差。

6.You've now seen how to implement a couple of scrapers and a spider.

现在您已经学会如何实现scraper和spider 了。

7.Scrapers are installed under the rolls for cleaning the roll surfaces.

在辊子下方设有刮土板，以消除附在辊子表面的黏土。

8.You can also buy inexpensive tongue scrapers at most pharmacies.

你能在大多数的药房买到便宜的舌刮器。

9.Moulds of conveyer belt with corrugated fold were designed including the moulds of guide stripes, scrapers and corrugated folds.

设计了波纹挡边输送带模具，其中包括导向条、挡板及波形挡边模具的设计。

10.Web scrapers are often used to collect data from websites for analysis.

网络爬虫通常用于从网站收集数据以进行分析。

11.Some companies use scrapers to monitor their competitors' prices.

一些公司使用爬虫来监控竞争对手的价格。

12.Developing effective scrapers requires knowledge of HTML and web protocols.

开发有效的爬虫需要掌握HTML和网络协议的知识。

13.Data scrapers can help researchers gather large datasets quickly.

数据爬虫可以帮助研究人员快速收集大量数据集。

14.Some websites block scrapers to protect their content.

一些网站阻止爬虫以保护其内容。

作文

In the age of information, data has become one of the most valuable assets for businesses and individuals alike. To harness the power of this data, many organizations employ various tools and techniques. One such tool that has gained significant popularity is web scraping. Web scrapers, or 抓取工具, are designed to extract large amounts of data from websites quickly and efficiently. This technology allows users to gather information ranging from product prices to user reviews, making it an essential component of modern digital strategies. Web 抓取工具 operate by mimicking human browsing behavior. They navigate through web pages, identify relevant data, and collect it for further analysis. For instance, an e-commerce company may use 抓取工具 to monitor competitors' prices and adjust their own pricing strategy accordingly. By automating this process, businesses can save time and resources while ensuring they remain competitive in the market. However, the use of 抓取工具 raises ethical and legal questions. Many websites have terms of service that explicitly prohibit scraping, which can lead to potential lawsuits if violated. Therefore, it is crucial for users of 抓取工具 to understand the legal implications and respect the rules set forth by website owners. Additionally, some websites implement measures to block scrapers, such as CAPTCHAs and IP blocking, which can complicate data extraction efforts. Despite these challenges, the demand for 抓取工具 continues to grow. In fields like market research, journalism, and academic studies, the ability to gather vast amounts of data from various sources can provide valuable insights. For example, a journalist might use 抓取工具 to compile statistics on public sentiment regarding a particular issue by analyzing comments and posts across social media platforms. This data can then inform their reporting and help shape public discourse. Moreover, the rise of big data has further fueled the need for efficient data collection methods. As organizations strive to make data-driven decisions, 抓取工具 provide a means to gather and analyze information at scale. Companies can leverage the insights gained from scraped data to enhance their products, improve customer experiences, and drive innovation. In conclusion, 抓取工具 play a vital role in the current digital landscape by enabling users to collect and analyze data from the web. While they offer numerous benefits, it is essential to approach their use with caution, considering the ethical and legal aspects involved. As technology continues to evolve, the effectiveness and capabilities of 抓取工具 will likely improve, making them an indispensable resource for anyone looking to gain a competitive edge in their field.

在信息时代，数据已成为企业和个人最有价值的资产之一。为了利用这些数据的力量，许多组织采用各种工具和技术。其中一种越来越受欢迎的工具是网络抓取。网络抓取工具旨在快速高效地从网站中提取大量数据。这项技术使用户能够收集从产品价格到用户评论的信息，使其成为现代数字策略的重要组成部分。 网络抓取工具通过模拟人类浏览行为来工作。它们浏览网页，识别相关数据，并收集以供进一步分析。例如，一家电子商务公司可能会使用抓取工具监控竞争对手的价格，并相应调整自己的定价策略。通过自动化这一过程，企业可以节省时间和资源，同时确保在市场上保持竞争力。 然而，使用抓取工具引发了伦理和法律问题。许多网站的服务条款明确禁止抓取，这可能导致潜在的诉讼。因此，使用抓取工具的人必须了解法律影响，并尊重网站所有者设定的规则。此外，一些网站实施阻止抓取者的措施，如验证码和IP封锁，这可能会使数据提取工作复杂化。 尽管面临这些挑战，对抓取工具的需求仍在增长。在市场研究、新闻报道和学术研究等领域，能够从各种来源收集大量数据可以提供有价值的见解。例如，一名记者可能会使用抓取工具通过分析社交媒体平台上的评论和帖子来汇编公众对某一问题的情感统计数据。这些数据可以为他们的报道提供信息，并帮助塑造公共话语。 此外，大数据的兴起进一步推动了对高效数据收集方法的需求。随着组织努力做出基于数据的决策，抓取工具提供了一种大规模收集和分析信息的手段。公司可以利用从抓取数据中获得的见解来增强其产品、改善客户体验并推动创新。 总之，抓取工具在当前数字环境中发挥着至关重要的作用，使用户能够从网络中收集和分析数据。虽然它们提供了许多好处，但在使用时必须谨慎，考虑涉及的伦理和法律方面。随着技术的不断发展，抓取工具的有效性和能力可能会进一步提高，使它们成为任何希望在其领域中获得竞争优势的人的不可或缺的资源。