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Chapter 1. E-commerce in the face of information asymmetry 1.1.Uncertainty and information asymmetry in the digital economy 1.2.Challenges of the e-commerce sector 1.3.Advertisement portal as an e-commerce tool Chapter 2. Web scraping 2.1.The need to implement automated data acquisition tools 2.1.1.Data and information as a basis of the notion of web scraping 2.1.2.Web scraping as a medium for obtaining information in a big data world 2.2.Properties of data acquisition tools 2.3.Use of web scraping in practice 2.3.1.Strengths and opportunities of data content mining 2.3.2.Legality and ethical use of web scraping Chapter 3. Designing a web scraping tool 3.1.OTOMOTO - the largest Polish automotive classifieds portal 3.1.1.Structure of the portal 3.1.2.A quick look at the OTOMOTO regulations 3.2.Preparation for a web scraping tool project 3.2.1.Conceptual work. Description of the algorithm's operation. Process diagram 3.2.2.Preparation of the technical environment 3.3.Web extractor - design and programmatic implementation 3.3.1.Structure of the project in the PyCharm environment 3.3.2.Program communication with the user - collecting information 3.3.3.Creation of the list of offers' URL 3.3.4.Retrieving hyperlinks to particular advertisements 3.3.5.The process of the factual web scraping 3.3.6.Exporting scraped results to a Microsoft Excel spreadsheet 3.3.7.Program operation in practice with a sample analysis
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Notes:
General note
Na podstawie pracy magisterskiej.
Bibliography, etc. note
Bibliografia, netografia, wykaz aktów prawnych na stronach 111-125.
Funding information note
Współfinansowanie: Minister Edukacji i Nauki
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