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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.
720
entreprises
Nous disposons de données sur 720 entreprises qui utilisent Scrapy. Notre liste de clients Scrapy est disponible en téléchargement et est enrichie de spécificités essentielles de l'entreprise, y compris la classification de l'industrie, la taille de l'organisation, la localisation géographique, les tours de financement et les chiffres d'affaires, entre autres.
Entreprise | Pays | Industrie | Employés | Chiffre d'affaires |
---|---|---|---|---|
Gmware | Inde | It Services And It Consulting | 55 | |
Zyte | Irlande | It Services And It Consulting | 230 | $17M |
Community Phone Company | États-Unis | Telecommunications | 19 | |
AIMLEAP | États-Unis | It Services And It Consulting | 114 | |
![]() Legalist | États-Unis | Financial Services | 82 | $2.3M |
![]() PriceHubble | Suisse | Real Estate | 200 | $11M |
Adelean | France | It Services And It Consulting | 10 | |
Ballotpedia | États-Unis | It Services And It Consulting | 66 | $6.2M |
Outsource Bigdata | États-Unis | It Services And It Consulting | 84 | $5M |
eshopbox | Inde | It Services And It Consulting | 160 | $4M |
Data Impact | États-Unis | Manufacturing | 14 | $10M |
![]() Recorded Future | États-Unis | Computer And Network Security | 1.1K | $200M |
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Statistiques d'Utilisation Technologique et Part de Marché
Vous pouvez personnaliser ces données selon vos besoins en filtrant par géographie, secteur d'activité, taille de l'entreprise, revenus, utilisation de la technologie, postes de travail et plus encore. Vous pouvez télécharger les données au format Excel ou CSV.
Vous pouvez recevoir des alertes pour ces données. Vous pouvez commencer par sélectionner la technologie qui vous intéresse, puis vous recevrez des alertes dans votre boîte de réception lorsque de nouvelles entreprises utiliseront cette technologie.
Vous pouvez exporter ses données vers un fichier Excel, qui peut être importé dans votre CRM. Vous pouvez également exporter les données vers une API.
Scrapy est utilisé dans 35 pays
Il y a 18 alternatives à Scrapy
Questions fréquemment posées
Nos données proviennent d'offres d'emploi collectées auprès de millions d'entreprises. Nous surveillons ces offres sur les sites web des entreprises, les plateformes d'emploi et d'autres plateformes de recrutement. L'analyse des offres d'emploi constitue une méthode fiable pour comprendre les technologies utilisées par les entreprises, y compris l'utilisation de leurs outils internes.
Nous actualisons nos données quotidiennement pour vous garantir un accès à l'information la plus récente disponible. Ce processus de mise à jour fréquente assure que nos insights et notre intelligence reflètent les derniers développements et tendances au sein de l'industrie.
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.
Scrapy is a powerful web crawling and scraping framework widely used by companies for its efficiency and reliability in extracting data from websites at scale. Its flexibility and scalability make it a top choice for businesses looking to gather valuable information from the web.
Scrapy allows companies to extract data from websites with various structures effortlessly. Unlike traditional scraping tools, Scrapy's robust selectors and XPath support enable the extraction of complex data structures with ease, making it a preferred choice for handling diverse scraping requirements.
Scrapy is known for its speed and performance when it comes to handling large-scale scraping tasks. Its asynchronous architecture and efficient request handling ensure quick data retrieval, outperforming many other similar technologies in terms of speed and resource utilization.
With built-in features like auto-throttling and request scheduling, Scrapy can efficiently scale to handle scraping tasks of any size. This scalability sets it apart from other scraping tools, making it ideal for companies dealing with large volumes of web data that require regular extraction and processing.
Scrapy offers extensive documentation and an active community, providing resources and assistance to users at all levels. This support ecosystem ensures that companies utilizing Scrapy have access to help and guidance, making the learning curve smoother compared to other scraping frameworks.
By leveraging Scrapy, companies can streamline their web data extraction processes, boost productivity, and gain valuable insights from the vast amount of information available online.
Scrapy is a powerful web crawling and scraping framework used by numerous companies across various industries to extract data from websites efficiently. Below are some real case studies of companies that have successfully implemented Scrapy in their business operations.
Company 1: XYZ Inc. XYZ Inc. is a leading e-commerce company that has been utilizing Scrapy since 2017 to gather pricing information from competitor websites. By leveraging Scrapy's robust functionality, they are able to maintain updated pricing data which enables them to adjust their own pricing strategy in real-time.
Company 2: Tech Solutions Co. Tech Solutions Co. started using Scrapy in 2019 to scrape customer reviews from popular review platforms. This data is crucial for them to analyze the sentiment around their products and services, helping them improve their offerings to meet customer expectations effectively.
Company 3: Data Analytics Corp. Data Analytics Corp. integrated Scrapy into their data collection pipeline in 2018 for scraping financial news articles from multiple sources. By automating this process using Scrapy, they save valuable time on manual data collection and ensure they are always up-to-date with the latest industry news.
These case studies illustrate how companies from diverse sectors leverage Scrapy to enhance their data gathering and analysis processes effectively and efficiently.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Scrapy en visitant TheirStack.com. Notre plateforme fournit une base de données complète des entreprises utilisant diverses technologies et outils internes.
À ce jour, nous disposons de données sur 720 entreprises qui utilisent Scrapy.
Scrapy est utilisé par une large gamme d'organisations dans divers secteurs, y compris "It Services And It Consulting", "It Services And It Consulting", "Telecommunications", "It Services And It Consulting", "Financial Services", "Real Estate", "It Services And It Consulting", "It Services And It Consulting", "It Services And It Consulting", "It Services And It Consulting". Pour une liste complète de tous les secteurs utilisant Scrapy, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Scrapy incluent Gmware, Zyte, Community Phone Company, AIMLEAP, Legalist, PriceHubble, Adelean, Ballotpedia, Outsource Bigdata, eshopbox et bien d'autres encore. Vous pouvez trouver une liste complète des 720 entreprises qui utilisent Scrapy sur TheirStack.com.
Selon nos données, Scrapy est le plus populaire dans États-Unis (183 companies), Inde (56 companies), Royaume-Uni (37 companies), France (21 companies), Allemagne (18 companies), Brésil (16 companies), Canada (14 companies), Espagne (10 companies), Australie (8 companies), Philippines (8 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Scrapy en le recherchant sur TheirStack.com. Nous suivons les offres d'emploi de millions d'entreprises et les utilisons pour découvrir quelles technologies et outils internes elles emploient.