Budget: 3000 UAH Deadline: 3 days
Good afternoon. Ready to complete the task and assign the task to technical support. Feel free to contact us
Budget: 2999 UAH Deadline: 5 days
Good afternoon! I will make such a parser. Write to me, I will be glad to cooperate!
- Projects 8
- Rating 5.0
- Rating 667
Budget: 1000 UAH Deadline: 1 day
Hello
I have extensive experience in parsing.
Price and deadlines will depend on the websites.
Write to discuss the details.
Budget: 1000 UAH Deadline: 3 days
Good evening!
Show the sites that need to be parsed. The budget depends on this.
Budget: 1800 UAH Deadline: 2 days
I can write a parser for you, you will parse it yourself if necessary.
price for both sites
examples of work - Freelancehunt
Budget: 2000 UAH Deadline: 2 days
Good afternoon, I can write a parser on Node that will collect data. To accurately estimate the timelines and cost, I need to see the donors. Write in private to discuss the details.
Budget: 3000 UAH Deadline: 4 days
Hello.
I develop scripts for data parsing from scratch for a specific task.
Using JavaScript/
Need links to the donor for familiarization.
I can send you the script and show how to use it or perform this task independently.
Contact me for discussion.
Budget: 2000 UAH Deadline: 1 day
Good afternoon. I have been doing parsing for a long time. Contact me, I will do it.
Budget: 2000 UAH Deadline: 2 days
Ready to do it.
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Budget: 1000 UAH Deadline: 2 days
Hello. Interested in your project. Ready to discuss and execute!
Budget: 2222 UAH Deadline: 10 days
Hello.
I will develop two parsers for each website, hosting them on my server with support for their operation.
I will provide you with two links to Excel files, which will be updated once a month or more frequently.
Write to discuss the details and terms of cooperation.
Budget: 2000 UAH Deadline: 4 days
Hello!
I think I can help you with parsing. Please send the details in a private message.
Oleg N.
Winning proposal- Projects 53
- Rating 5.0
- Rating 1 836
Budget: 2000 UAH Deadline: 2 days
Hello! Ready to complete your task, I have experience with similar problems.
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Current freelance projects in the category Data Parsing
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
A simple program or Telegram bot is required for parsing participants of chats and discussions in Telegram channels. Functionality: The user enters a link to the channel or chat. If a link to a channel is provided, the program should automatically navigate to the "Discussions" section and perform parsing specifically for discussion participants. The result should export only unique links to user profiles without duplicates. Additional selection requirements: Only users with their own public channel specified in their profile should be included. The user's channel must have at least 200 subscribers. Users with smaller channels are not suitable. A maximally simple and convenient tool is needed: just paste the link and start collecting data based on the specified criteria. I am not a programmer, so I would appreciate an assessment of the feasibility of such a solution and your suggestions for the optimal way to develop it. Standard parsers are not of interest to us — the implementation of the logic described above is required. Responses to your proposals may be within a day.
Good evening, there is a task: you need to check the availability and relevance of the prices of products added to the website (the website is on the prom.ua platform) from the supplier's site 1-2 times a day. Can you calculate the price and how it will look?
Set up automatic daily updates of product availability on our website on prom.ua. We have a supplier who sends a price list of products in Excel format to our email every day. The items on our website and in the supplier's price list are the same. The values in the "stock" column are either out of stock, a number, or more than a box - these need to be updated on the site to either Ready for shipment or Out of stock. Items that are not in the supplier's price list should remain unchanged. Please propose a solution, timeline, and budget. Thank you in advance for your response, I look forward to collaborating with a specialist.
A project needs to be implemented for collecting and structuring a large array of images from open web sources (initially 2000 images). The task includes: - automated image collection; - uploading files in the highest available quality; - classifying images by categories. Expected results: - a structured image database; - a clear cataloging system; - delivery of the results via Google Drive or another agreed method;