Parking of Metadata Sites
There is a large list of sites.
You need to cut metadata from them to learn NLP models in order to determine the niche.
Data such as:
The top menu:
Topics
Categories
author name Meta Data (Meta Tag)CategoriesAuhtor InformationHeadings and SubheadingsBlog Post TitlesPublication DateContent StructureAbout Us PageArchivesHTML TagsStructured Data MarkupWebsite NavigationFooter TextRSS feedmain-navigation__item menuAdvertising and other relevant information for our purpose.
Storage in Mong Bd in the cloud.
Working under the Ubud 22.04
Comments and instructions in English.
Controlling versions through GitHub
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151 Hello to you! Ready to help with the parsing of metadata with a large list of sites for learning NLP models and defining the niche. However, due to the lack of specific sites and details about the data structure, it is difficult to give a precise assessment of the project.
Given my experience in web development and working with Python and various databases, I’m developing an effective parser to extract data such as topics, categories and authors’ names from websites.
Let us discuss additional details and requirements for a more accurate assessment and successful implementation of the project. I will be happy to cooperate!
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194 Hello to you!
As a fullstock developer with experience in Python (Flask, Django) and databases (MySQL, PostgreSQL, MongoDB), you are interested in your project on parsing metadata with a wide list of sites to learn NLP models and save in the cloud MongoDB. I understand that to evaluate the project with accuracy, it is necessary to clarify details, such as data volume, structure and site distribution. Ready to discuss the project and the optimal solutions for its implementation. I’m going to work under Ubuntu 22.04, controlling the version through GitHub. Instructions and comments in English. Let’s contact us and start working on the project!
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294 3 1 Great experience of Parsons. Django, Flask and FastAPI
Work with any databases (mySQL, PostgreSQL, Oracle, MongoDB) and file types.
BS, Selenium and RestAPI.
Clean code according to all PEP8 instructions.
The final cost and time depends on the number and structure of the sites you need to pay.
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266 Good day . I am a senior web developer with experience in the industry since 1998. Your task is generally understandable, but cannot you give a concrete? For example, are many websites of the same structure? "Footer text" is always in one place or is there a sign of its presence? The same goes for navigation, for example. Is this a single operation or do you want it to be a service in your project? What is the technology of the project now? Could you give answers to questions?
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Який конкретно список сайтів? Скільки там сайтів і які вони по структурі/складності. Які саме сторінки на цих сайтах парсити і де там шукати вказані дані? Ціна строки сильно буде залежити від всіх цих даних.
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Задача в дійсності не є складною - треба робити раз за разом пошук по сторінкам сайту на наявні значення, знаходити їх і записувати. Підходів до вирішення такої задачі є масса, стронг джуніор розробник справиться.
Питання тільки в тому, що на фрілансханті дуже мало толкових людей залишилось (навіть джунів). Осталися в більшості "самоучки", які дуже хочуть гроші, а знань відповідних немають. Решта - або на війні, або закордоном.
Олександр, шукайте на upwork або fiver. На останньому десь ніби бачив вже готові парсери для вашої задачі.
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