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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
aziende
Abbiamo dati su 720 aziende che usano Scrapy. La nostra lista di clienti Scrapy è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
Gmware | India | It Services And It Consulting | 55 | |
Zyte | Irlanda | It Services And It Consulting | 230 | $17M |
Community Phone Company | Stati Uniti | Telecommunications | 19 | |
AIMLEAP | Stati Uniti | It Services And It Consulting | 114 | |
Legalist | Stati Uniti | Financial Services | 82 | $2.3M |
PriceHubble | Svizzera | Real Estate | 200 | $11M |
Adelean | Francia | It Services And It Consulting | 10 | |
Ballotpedia | Stati Uniti | It Services And It Consulting | 66 | $6.2M |
Outsource Bigdata | Stati Uniti | It Services And It Consulting | 84 | $5M |
eshopbox | India | It Services And It Consulting | 160 | $4M |
Data Impact | Stati Uniti | Manufacturing | 14 | $10M |
Recorded Future | Stati Uniti | Computer And Network Security | 1.1K | $200M |
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Scrapy è utilizzata in 35 paesi
Ci sono 18 alternative a Scrapy
Domande frequenti
I nostri dati provengono da offerte di lavoro raccolte da milioni di aziende. Monitoriamo queste offerte sui siti web delle aziende, sui portali di lavoro e su altre piattaforme di reclutamento. Analizzare le offerte di lavoro offre un metodo affidabile per comprendere le tecnologie impiegate dalle aziende, inclusi i loro strumenti interni.
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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.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Scrapy visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 720 aziende che utilizzano Scrapy.
Scrapy è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "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". Per un elenco completo di tutti i settori che utilizzano Scrapy, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Scrapy includono Gmware, Zyte, Community Phone Company, AIMLEAP, Legalist, PriceHubble, Adelean, Ballotpedia, Outsource Bigdata, eshopbox e molte altre. Puoi trovare un elenco completo di 720 aziende che utilizzano Scrapy su TheirStack.com.
Secondo i nostri dati, Scrapy è più popolare in Stati Uniti (183 companies), India (56 companies), Regno Unito (37 companies), Francia (21 companies), Germania (18 companies), Brasile (16 companies), Canada (14 companies), Spagna (10 companies), Australia (8 companies), Filippine (8 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Scrapy cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.