Optimize parsing

Budget: 2000 UAH Deadline: 1 day

Hello!

I reviewed the code — the problem is clear.

Google Sheets stops due to the API rate limit: update_full_statistics is called with every new row and makes 20+ requests in a row. Google allows ~60 requests/minute — hence the stops.

What I will do:
1. Batching Sheets requests — accumulating rows, writing once every N seconds
2. SQLite as the main local storage (instead of CSV)
3. Sheets updates asynchronously, not blocking parsing
4. Operation 24/7 without stops

I am ready to start now. Expand

Budget: 700 UAH Deadline: 1 day

Hello. I looked at the script - the problem is with the Google Sheets API (limit 429) and the lack of auto-restart for Selenium when it crashes. I will add SQLite as the main storage, batch writing to Sheets, and a watchdog loop - all for 700 UAH, I will do it today.

Budget: 1000 UAH Deadline: 1 day

Hello.

I have experience with Google Sheets. I can write a script for you. Write to me, we will discuss.

Budget: 1000 UAH Deadline: 1 day

Hello. I have extensive experience with Python. I am ready to change the way data is stored to SQLite.

Budget: 700 UAH Deadline: 1 day

Since Google Sheets has limits on writing, I suggest writing to a local file or SQLITE.

I am ready to rewrite the script right now.

Budget: 700 UAH Deadline: 7 days

Hello, I have been working on optimizing parsing for an e-commerce platform with over 50,000 products daily - I reduced processing time by 70% and implemented stable storage in SQLite.

Why is Google Sheets currently stopping - due to API limits or large data volume?

I suggest we get in touch, I will provide you with free technical consultation and we will create a development plan + I will tell you about my team!

Budget: 700 UAH Deadline: 3 days

Hello Alex!
I am writing a parser in Python.
I can help you with this.

Budget: 1000 UAH Deadline: 2 days

Good day!
I reviewed the task - the problem is not with parsing, but with the architecture: there are too frequent calls to Google Sheets in the code (several API requests every few seconds), which triggers the limits and the system stops.
I can fix it:
- implement buffering of records
- move the main storage to SQLite/CSV
- leave Google Sheets only for periodic synchronization
- set up stable operation 24/7 without hangs
I am ready to implement it quickly and make the system reliable. We can discuss the details.

Budget: 700 UAH Deadline: 1 day

Good day! I am ready to optimize your parsing for stable operation 24/7. I will solve the problem with Google Sheets (stops/limits) — either by optimizing the recording through batching and caching, or by transferring the storage to a file/SQLite for maximum reliability. I will set up an efficient data collection pipeline with error handling, logging, and auto-restart in case of failures. As a result, you will receive a stable system without data loss that operates continuously. I can also offer scaling for large volumes. I am ready to discuss the details and start immediately.

Budget: 700 UAH Deadline: 1 day

Hello! The problem of Google Sheets stopping during parsing 24/7 is well known to me — it is a result of exceeding quotas (Rate Limits) and network instability. I am ready to optimize your software, making it truly autonomous.

Budget: 700 UAH Deadline: 1 day

Good day!

The problem is clear — the overload of Google Sheets and the lack of data buffering, which makes the system unstable 24/7.

I can solve:

SQLite or file buffer instead of permanent records
batch sending to Google Sheets to reduce load
data queue between parsing and writing
optimization of statistics recalculation
auto-restart of Selenium in case of failures

I have experience with Selenium and parsing/automation tasks.
I can provide my CV if necessary. Expand

Budget: 2000 UAH Deadline: 1 day

Hello! I am an individual developer with 4 years of experience in automation (n8n, Python) and working with big data, so I will optimize your parsing by transferring it from unstable Google Sheets to a fault-tolerant architecture using SQLite or local file storage. I will eliminate the issue of stops due to API limits, set up log rotation, and ensure stable operation 24/7 on a VPS through PM2 or Docker, so that processes are not interrupted; I work through a sole proprietorship and am ready to develop a reliable data storage scheme today. My works: https://3magency.co/, https://jk-solution.com.ua/, https://farfieworldwide.com/, Behance.

Budget: 2000 UAH Deadline: 1 day

Hello. Your current script stops because it uses Google Sheets improperly: with each update, it tries to recalculate the entire data array, hitting timeouts and strict API limits. For stable operation 24/7, I will change the saving logic. I will move all the heavy parsing history to a lightweight local database to unlock Selenium's operation, and I will only send updated statistics and a small slice of the latest games to Google Sheets purely for visualization. This will completely relieve the unnecessary load from the network, the script will stop hanging while waiting for a response from Google, and it will operate autonomously. I am ready to implement this architecture quickly and without a total rewrite of your main code.

Budget: 700 UAH Deadline: 1 day

Hello. I looked at the task and I see the approach here is quite clear: the problem is likely not only in parsing, but in the connection with Google Sheets and data storage. I can quickly analyze the current logic, eliminate the bottleneck, and bring it to a more stable scheme so that it works properly 24/7. If it turns out that it's better to move storage to SQLite or a file, I will also do that without unnecessary complications.

Budget: 2000 UAH Deadline: 2 days

Hello.

I am ready to work on optimization. I have experience with parsers that need to operate reliably 24/7, and with such tasks, I usually start by addressing architectural bottlenecks rather than just "tweaking timings."

From your current script, it is already clear that the problem is likely not only in the parsing itself but also in the combination of Selenium + constant writes/updates in Google Sheets + real-time statistics recalculation. In this form, it can indeed stop or degrade over time.

What I can offer:
— to change the saving to a local SQLite/file as the main source;
— to separate Google Sheets into a separate batch synchronization, rather than in a critical stream;
— to stabilize the operation cycle 24/7;
— if necessary, to simplify/rewrite the problematic part to make the solution more reliable.

I can quickly review the current implementation and suggest a proper working option without unnecessary complications. Expand

Budget: 750 UAH Deadline: 1 day

Hello.

I reviewed your script and see that the problem lies not only in parsing. In the current cycle, the script simultaneously reads the History table, writes new rows to Google Sheets, then reads Results again to control the volume, and separately recalculates all statistics from history. Due to this scheme, the process starts to hit frequent calls to the Sheets API and becomes unstable during long runs.

I would approach this as a task for stabilizing the 24/7 mode: first, identify the bottleneck in the parsing → saving → updating statistics chain, then carefully separate the hot cycle and background updates so that the script does not stop during a long run. I will also check what exactly causes the most load — writing to the table, trimming old rows, or a complete recalculation of statistics.

I already see the problem and can provide a working solution without unnecessary rewriting of the entire project.

Budget: 3999 UAH Deadline: 1 day

Hello! I am ready to complete this project and have extensive experience in developing various applications.

Budget: 777 UAH Deadline: 1 day

I glanced through the code, I will do it easily.
I will do it right now.

Budget: 1000 UAH Deadline: 1 day

Hello. I reviewed the code, I see places where it can be improved. I will be happy to help, feel free to reach out.

Budget: 1000 UAH Deadline: 1 day

Good day!
I have experience in optimizing parsers, working with Google Sheets, files, and SQLite, as well as translating similar processes to more stable data storage for continuous operation.
I have dealt with tasks where it was necessary to eliminate stops, reduce the load on Google Sheets, and build a more reliable saving scheme with a view to continuous operation 24/7.
I suggest discussing the details, as well as the cost and deadlines in private messages.

Budget: 700 UAH Deadline: 1 day

Hello! I see issues with freezing due to frequent requests to Google Sheets and overloaded Selenium parsing (repeated searches for elements, sleep, handling stale elements), so I suggest optimizing data collection (waiting through WebDriverWait, reducing requests to the DOM), adding buffering and batch requests for Sheets, or moving the storage to SQLite/file, which will significantly increase the speed and stability of the work.

Budget: 700 UAH Deadline: 1 day

I will do it in js or kotlin, we will install it on the VPS and it will work 24/7. If the attached script is already working, then we can put it on the VPS.

Budget: 700 UAH Deadline: 1 day

Hello, I will do everything quickly and efficiently. I make the best parsers for the price of 500 UAH.

Budget: 700 UAH Deadline: 1 day

I have experience with parsers. I am ready to offer solutions and fix/rewrite your code in private. Corrections and improvements to your script are free of charge. Fast and inexpensive. I will be waiting for our collaboration.

Budget: 1000 UAH Deadline: 1 day

Good day. I have extensive experience in parsing and recording Google Sheets, as well as various databases. A more detailed description of the errors or what exactly needs to be collected is required. Judging by the script, parsing by HTML tags is not stable in itself. In the table, you can write a lot of data in one entry, thus bypassing the limits. Contact me, we will discuss. The price and deadline are conditional.

Budget: 1000 UAH Deadline: 1 day

Hello!
I will rewrite your script to meet your needs.
Contact me for details in private.

Budget: 700 UAH Deadline: 3 days

Good day!
I am ready to optimize your parsing. I will solve the issue of stops in Google Sheets or suggest an alternative way to save data in a file/SQLite, ensuring stable operation 24/7. I have extensive experience with APIs, Google Sheets, and databases.

Write to me, and we will discuss the details.

Budget: 700 UAH Deadline: 3 days

Hello! Your project looks very interesting. I am ready to start working immediately and ensure high quality.

Budget: 700 UAH Deadline: 14 days

We can optimize your parsing for continuous operation 24/7. We are ready to offer several solutions: transferring data storage from Google Sheets to a local file or SQLite — this will eliminate the problem of script stoppages and significantly increase stability. We will also set up automatic recovery of the parser's operation in case of errors, monitoring, and logging. All processes will run on a separate server under the supervision of an uninterrupted control system. We are ready to take this on as comprehensive support.