Budget: 9999 UAH Deadline: 5 days
Good day!
The task is clear:
1. Data retrieval via the domains-monitor API
2. Deployment of ClickHouse on the server
3. Designing the table structure
4. Importing historical data
5. Setting up daily automatic updates (cron + incremental updates)
If the API is stable and without complex restrictions:
3–5 working days
• Day 1: API analysis + database schema
• Day 2: ClickHouse deployment
• Day 3: ETL logic + initial loading
• Day 4: Incremental logic + testing
• Day 5: Optimization and documentation
The cost includes:
• Full ClickHouse setup
• Loading script
• Auto-updates once a day
• Basic documentation
• Testing
⸻
Ready to start immediately after clarifying:
• Data volume
• Whether there is access to the server
• Whether Docker is needed
• Whether API rate-limit handling is needed
I can do it quickly and correctly in terms of ClickHouse performance.
Budget: 6000 UAH Deadline: 5 days
Hello, I can take care of setting up ClickHouse to receive data via API. It is important to correctly configure the automatic update once a day. This will be done in stages: first, we will install ClickHouse on the server, then we will set up interaction with the API and sending data to the database. For such a project, I recommend a price starting from 15 USD/hour, as there will not be much work, but attention to detail is needed. The estimated completion time is 5 days, considering extra time for possible nuances. Let me know if you have any questions.
Budget: 10000 UAH Deadline: 10 days
Hello. I am ready to complete your project after agreeing on the terms of reference. Final deadlines and price will be determined after agreement. I can also offer technical support and assistance in the future. I look forward to your response.
Budget: 700 UAH Deadline: 1 day
I can implement data loading from the provided API, set up ClickHouse on the server, and configure daily updates.
To solve this task, I propose to develop a script in Go that will periodically call the specified API, extract the necessary data, and format it for loading into ClickHouse. After that, the ClickHouse server itself will be set up, and a process for regular (daily) data updates will be created.
The price and deadlines will be determined after clarifying the volume of data and the specifics of its structure.
Budget: 1000 UAH Deadline: 3 days
Good day!
I professionally work with APIs, server solutions deployment, and databases. I am ready to implement integration with domains-monitor.com, set up ClickHouse, and automate daily data updates.
Message me privately, and we will clarify the details.
Sergey Mironov
Winning proposal- Projects 146
- Rating 5.0
- Rating 6 187
Budget: 5000 UAH Deadline: 3 days
Good day
I have already worked with ClickHouse.
I can set it up on the server in Docker + write a script for parsing data from the API in Python. All I need from you is the required list of fields that need to be saved.
One clarification - if the data is intended for personal use rather than multi-user access, I would recommend using DuckDB instead of ClickHouse. It is much less resource-intensive on the server while maintaining comparable performance.
Proposals concealed
Proposals are currently absent
Budget: 27000 UAH Deadline: 23 days
Hello! I looked at the task. To correctly assess the timelines and budget, please clarify: 1) the budget/budget range for the MVP and the full scope, 2) what is included in P0/P1/P2, 3) what integrations/providers are there and if there are accesses, 4) the deadline and acceptance criteria. After the answers, I will propose a plan of stages and an estimate for each stage.
Budget: 10000 UAH Deadline: 3 days
Good day
My name is Dmytro, from the King Kong Lab team. We can implement a full cycle of work with your API and ClickHouse.
We will set up the server, install and optimize ClickHouse for working with large volumes of data, implement data import through the API domains-monitor, and correctly design the database structure for fast searching and updating. We will also set up automatic daily updates via cron or a worker service, so the database is always up to date without manual intervention.
We have experience working with ClickHouse, large datasets, and integrations through API, including performance and system stability optimization. After implementation, we will provide instructions and, if necessary, can offer further support.
We can discuss the details of the API, the server, and propose the optimal architecture for your data volume.
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