Budget: 550 EUR Deadline: 15 days
Hello.
I am a NodeJS developer. I am ready to take it on. Write to me, we will discuss.
Goal: Create a parser to collect real estate data from popular European websites. Gather properties for sale and rent from specified sites, classifying properties by type, price, area, number of rooms, and other characteristics. Technical assignment link https://sychoff.notion.site/4b036b66c804423592be6c76d7303b5f">https://sychoff.notion.site/4b036b66c804423592be6c76d7303b5f
Budget: 550 EUR Deadline: 15 days
Hello.
I am a NodeJS developer. I am ready to take it on. Write to me, we will discuss.
Budget: 650 EUR Deadline: 14 days
Hello, I am ready to discuss the details and complete this project! I look forward to collaborating!
Budget: 550 EUR Deadline: 10 days
Hello. My name is Vladimir. I have experience in developing parsers for different websites. I also worked with a real estate website. I parsed data (Homes.com) as well. I would like to discuss more details with you in private messages.
Budget: 550 EUR Deadline: 1 day
Hello,
I am ready to take on your project. I have extensive experience in automating data collection processes and creating parsers. I can develop a script to gather information about real estate from the specified European websites, ensuring classification of objects according to the given parameters. I am ready to start working and complete the project as soon as possible.
My rate is $16 per hour. For a more detailed discussion of the requirements, please consider the technical assignment at the link.
Best regards,
Maxim
Budget: 550 EUR Deadline: 1 day
Hello, I reviewed the technical specifications, but I didn't study all the resources in detail, but I have experience in parsing real estate resources (the latest ones were lun and dom.ria). I have extensive experience in scrapy and building systems with a large number of resources, and I also suggest additionally saving data in a database before sending it to the WordPress site (from personal experience, WordPress sites sometimes crash). For all other clarifying questions, please send a private message (timelines, priority of sites, budget, deployment, etc.). I would be happy to collaborate.
Budget: 600 EUR Deadline: 5 days
Good day! I will create a parser according to your request. I will use the make.com platform, which will speed up the project's execution. Message me privately.
Budget: 550 EUR Deadline: 15 days
Hello.
I am engaged in parsing, including for real estate.
I can write the parser in Python, make it regular, with logs, etc.
Separately, we can discuss export to WordPress.
Let's discuss the estimate.
Budget: 600 EUR Deadline: 14 days
Hello.
I am engaged in writing scripts for automatic data collection.
I use javascript/
I have reviewed the technical specifications, there are points I would like to discuss.
Budget: 550 EUR Deadline: 11 days
Good day!
I am ready to create a parser for collecting real estate data.
I have experience in implementing similar projects.
I write in Python. I hold 3rd place on the platform for this language.
Portfolio: Freelancehunt
I would be happy to collaborate!
Добрый день, вы понимаете что нельзя создать универсальный парсер под 2 десятка сайтов ? Какието ресурсы используют запросы через АПИ, где можно допустим забрать инфу с разной степенью сложности (могут исопльзоваться дополнительные токены, такие как csrf, jwt и другие), а гдето сервер-сайд рендеринг где нужно парсить ХТМЛ, также у всех разные фильтры при поиске, это не может быть универсальным решением
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About the Company Trading company. We work with a product group of more than 2000 items across different categories.Current Situation Currently, the nomenclature is maintained in Google Sheets — data is consolidated by tabs (categories). Tab Structure: Product name Price groups: cost price, wholesale, retail Characteristics: weight, quantity per package, etc. Important: the number of columns varies for different product categories, as they have different characteristics.Why the Current Solution is Inadequate Google Sheets does not allow setting access rights at the level of individual columns. We need to: Grant users rights to view certain columns (for example, only cost prices) Grant rights to edit certain columns (for example, retail prices) While restricting access to other columns in the same tabWhat Needs to Be DoneMain Requirements Flexible Rights Management System Access at the level of individual columns (read/write) Assignment of rights by roles or users Management of rights without the involvement of programmers Support for Different Data Structures Different product categories have different sets of characteristics Adding new columns/characteristics without programming Independence from Developers Administration by internal staff Adding categories, columns, users — through the interface Integration with ERP Exporting current prices to our ERP system Export or automatic integration via API Data Analysis Using AI (preferably) Ability to analyze the entire nomenclature list Enrichment, verification, recommendations — if you have ideas, please describeExpected Result A working solution in which: The nomenclature is structured by categories with different sets of characteristics Column rights are flexibly configured (view/edit) Data is exported to ERP The team can manage the system independentlyWhat We Need from You When Responding Describe in general terms how you envision the solution: What tool/platform do you propose
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