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It is the most popular web scraping framework in Python. An open source and collaborative framework for extracting the data you need from websites. In a fast, simple, yet extensible way.
技术使用统计数据和市场份额
您可以通过筛选地理位置、行业、公司规模、收入、技术使用情况、职位等来根据您的需求定制这些数据。您可以以Excel或CSV格式下载数据。
您可以获得有关此数据的提醒。您可以通过选择您感兴趣的技术来开始,然后当有新公司使用该技术时,您将会在您的收件箱中收到提醒。
您可以将这些数据导出到一个Excel文件,然后导入到您的CRM中。您也可以将这些数据导出到API。
Scrapy 被用于 40 个国家
我们掌握了关于使用Scrapy的932家公司数据。这个精心策划的名单可以下载,并附带了重要的公司具体信息,包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
Technology
is any of
Scrapy
公司 | 国家 | 行业 | 雇员 | 收入 | 技术 |
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It Services And It Consulting | 51 |
| Scrapy | ||
爱尔兰 | It Services And It Consulting | 230 | $17M | Scrapy | |
It Services And It Consulting |
| Scrapy | |||
美国 | Telecommunications | 70 |
| Scrapy | |
It Services And It Consulting |
| Scrapy | |||
美国 | Financial Services | 82 | $2.3M | Scrapy | |
| Scrapy | ||||
法国 | Technology, Information And Internet |
| Scrapy | ||
瑞士 | Real Estate | 200 | $11M | Scrapy | |
美国 | Software Development | 112 |
| Scrapy |
有 193 个 Scrapy 替代品
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常见问题
我们的数据来自于从数百万家公司收集的招聘信息。我们在公司网站、招聘平台和其他招聘平台上监控这些招聘信息。分析招聘信息提供了一种可靠的方法来了解公司正在使用的技术,包括他们使用的内部工具。
我们每天更新数据,以确保您访问的是最新的可用信息。这一频繁的更新过程保证了我们的洞察力和情报反映了行业内的最新发展和趋势。
Scrapy is a powerful and open-source web crawling framework written in Python that is used for extracting data from websites. It provides a simple and flexible way to scrape websites and extract the data for various purposes such as research, monitoring, or data mining. Scrapy offers a high-level API that makes it easy to build and scale web scraping projects efficiently. With its robust architecture, users can create web spiders that navigate websites and extract the desired information with ease.
Scrapy falls under the category of PyPI Packages, particularly within the realm of web scraping tools. It is a specialized tool designed for developers and data scientists to extract structured data from websites quickly and efficiently. By leveraging Scrapy, users can automate the extraction process, saving time and resources while ensuring accurate and reliable data retrieval.
Founded in 2008 by Pablo Hoffman, Scrapy originated from the need to streamline web scraping tasks and provide a comprehensive framework for extracting data from the web. The project was motivated by the growing demand for web scraping tools that could handle complex scraping requirements effectively. Over the years, Scrapy has evolved into a popular choice among developers for its simplicity, performance, and scalability.
In terms of market share, Scrapy holds a significant position within the web scraping technology landscape. Its robust features, active community support, and continuous development make it a preferred choice for businesses and individuals looking to extract data from the web. With the increasing emphasis on data-driven decision-making and the rise of web data analytics, the demand for tools like Scrapy is expected to grow further in the future. As more industries recognize the value of web data extraction, Scrapy is poised to expand its market presence and solidify its position as a leading web scraping framework.
您可以访问 TheirStack.com,获取使用 Scrapy 的公司更新名单。我们的平台提供了一个全面的数据库,涵盖了使用各种技术和内部工具的公司。
截至目前,我们拥有关于 932 家使用 Scrapy 的公司的数据。
Scrapy 被广泛应用于包括 "It Services And It Consulting", "It Services And It Consulting", "It Services And It Consulting", "Telecommunications", "It Services And It Consulting", "Financial Services", "Technology, Information And Internet", "Real Estate", "Software Development" 在内的各个行业的各种组织中。欲了解所有使用 Scrapy 的行业的完整列表,请访问 TheirStack.com。
一些使用Scrapy的公司包括GMWARE, Zyte, GMWARE Private Limited, Community Phone Company, FullStackTechies, Legalist, Longevity InTime, STATION F, PriceHubble, Nimble以及更多公司。您可以在TheirStack.com上找到使用Scrapy的932家公司完整列表。
根据我们的数据,Scrapy 在 美国 (211 companies), 印度 (61 companies), 英国 (49 companies), 法国 (25 companies), 德国 (18 companies), 加拿大 (14 companies), 巴西 (13 companies), 巴基斯坦 (12 companies), 西班牙 (12 companies), 新加坡 (10 companies) 最受欢迎。然而,它被全世界的公司所使用。
您可以在TheirStack.com上搜索Scrapy,来找到使用该技术的公司。我们跟踪数百万家公司的招聘信息,并借此发现他们正在使用的技术和内部工具。