Quickly responded, always in touch.
Very reasonable price and very fast execution, task completed as agreed.
I will contact Vlad in the future.
I recommend this performer.
It is necessary to transfer data from this website into an Excel table.
The database contains 20,000 employees.
The table should include region, contacts, and the name of the institution.
I am attaching screenshots showing how the website looks and the data format on it.
Please propose your terms for completing this task.
If more details are needed - I will send them to the private address of the website.
Sorry for the unprofessionally prepared technical specification:)
Budget: 700 UAH Deadline: 1 day
Good day. To evaluate the order, it is necessary to review the website itself. I would be glad to cooperate.
Looking forward to working with you!Budget: 2000 UAH Deadline: 2 days
Ready to complete your task. Details can be discussed in private messages. The deadline and cost are approximate.
Budget: 1000 UAH Deadline: 1 day
Ready to perform
Ready to perform
Ready to perform
Ready to perform
Ready to perform
Ready to perform
Budget: 1000 UAH Deadline: 1 day
Good afternoon, Vladimir! I am ready to do this work for you. To clarify the rate, please provide the donor's address.
Budget: 4000 UAH Deadline: 3 days
Hello. Exporting the necessary data to Excel. If you're interested - write, we will discuss.
Budget: 700 UAH Deadline: 1 day
Good day.
I am ready to perform the task of transferring information from the website to an Excel spreadsheet. Based on the description, I understand that you need to collect data on 20,000 employees, including region, contacts, and the name of the institution. I will use an automated approach (script or parser), so everything will be done quickly and without errors.
You will receive the file in a convenient format - Excel or Google Sheets, with clearly structured columns. The data will be checked, and any unnecessary information will be filtered out.
Budget: 1000 UAH Deadline: 1 day
I will collect in Excel, I have been doing parsing for 15 years. I suggest discussing in private messages
I will collect in Excel, I have been doing parsing for 15 years. I suggest discussing in private messages
Budget: 1111 UAH Deadline: 1 day
Good day,
I will gladly complete your task. I need information about the donor site itself to evaluate the project.
Feel free to contact me!
Budget: 1000 UAH Deadline: 2 days
Hello. Interested in your project. Ready to discuss and execute!
Budget: 1000 UAH Deadline: 2 days
Good day!
I can complete this task quickly and efficiently. For the work, I need a link to the website from which data needs to be extracted. If the website is dynamic — I will use Selenium, if static — Scrapy/Python.
As a result, you will receive an Excel file or a script.
If there are additional details or examples, you can send them to better understand the structure.
Budget: 2000 UAH Deadline: 1 day
Good day, ready to complete your task quickly and efficiently, I have extensive experience in creating various parsers. Write in private messages, we will discuss the details. I will gladly help)
Budget: 2000 UAH Deadline: 1 day
Good day! I have experience, so I will be able to complete the task you set!!!! Feel free to contact me!!!
Budget: 1500 UAH Deadline: 2 days
Good day, I can scrape information from the website. I have experience working with parsers in Python using Selenium, Playwright, and other libraries. I have a couple of questions about your task. I can start tomorrow. I can tell you the price after a detailed review.
Budget: 700 UAH Deadline: 1 day
Ready to take on the task.
But I need to clarify the order details, write!
I will implement with a Python script.
Budget: 2000 UAH Deadline: 1 day
Good afternoon, I can parse, I have been doing parsing for more than 10 years.
An experienced 1C programmer is needed for a one-time data migration from 1C to a new CRM system. It is necessary to export data from 1C while preserving all relationships between entities: products, clients, receipts, invoices, balances, product movement history, and other directories. The export format can be JSON, SQL, or any other format convenient for further import. The main requirement is to maintain the data structure and all relationships between documents and objects so that the data can be correctly transferred to another CRM without loss of information. Experience in data migration between 1C and third-party systems will be an advantage. There is no need to migrate to another CRM, just provide a file or create functionality to save a dump file locally on click. Everything is managed locally, so you will need to work through AnyDesk or something similar. I don't know the prices for such work, so please make your offers.
Need a specialist for writing parsers who can bypass CLOUDFRAME. Parsing of products occurs from sites with authorization. There are 10+ donors of varying complexity, with different levels of protection. Parsing of products occurs from sites with authorization. Parses data into a ready-made Mysql database + photographs on the server. It is necessary to write a parser according to the tasks described in the technical assignment and adapt the data to the existing database for full functionality on the site. Technical assignment and example donor upon request. Desktop parsers and C# are not considered.
A Telegram bot needs to be created with a program that will monitor listings on three apartment rental websites (olx, lun, rieltor.ua) and send them structured in Telegram.
it is necessary to organize a way to collect newly created individual entrepreneurs and, if possible, limited liability companies. whether it's parsing or something else - you tell me what this method should be
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