Parser for collecting prices (solar energy)

Budget: 5500 UAH Deadline: 4 days

Hello.

I can create not just a parser for you, but a ready-made tool for daily monitoring of competitor prices with automatic updates and export to Google Sheets.

What will be the result:

collection of product names, prices, links, and, if possible, availability;

processing of 3–5 websites;

auto-update once a day;

a convenient table for analysis and comparison.

I work in Python, selecting the tool for specific websites: if the source is simple — I do not complicate the solution, if it is dynamic — I create a stable version through browser automation. This means the task is not just to "scrape," but to create a working framework that can be realistically used in daily operations.

Deadline: 4 days
Cost: 5,500 UAH

If you provide a list of websites, I can immediately clarify the technical approach for each source and quickly move on to implementation. Expand

Budget: 5000 UAH Deadline: 3 days

Hello, I can develop a parser, please contact me. The data will be processed in the following order:
1) parsing with a Node.js script
2) sending data with a request to AppScript
3) final display in Google Sheets

Budget: 2000 UAH Deadline: 1 day

Hello, I am implementing a parser programmatically, most likely in js, but it could also be in python or golang depending on the requirements, projects, and the volumes that need to be parsed. Ongoing support is possible within a monthly payment framework as outsourcing or independent use of the parser with the option for separate support. Price updates will be in Google Sheets or Excel - it doesn't matter. I have examples of parsers that I support and that update prices and analyze them every day for thousands of products. I am ready to implement it for the minimum price because I am more focused on feedback. Please reach out.

Budget: 6000 UAH Deadline: 14 days

Good day. I am ready to complete the project. The parsing tool will depend on the website, it is necessary to familiarize myself with them. The price will also depend on this - right now I can only specify the absolute minimum (for 5 parsers).

Budget: 4000 UAH Deadline: 2 days

Hello.

I develop parsers in NodeJS. I am ready to take on the task. Write to me, we will discuss.

Budget: 7000 UAH Deadline: 5 days

I can develop a stable parser for collecting competitor prices in the solar energy niche with automatic updates.

How I will implement it:

Architecture:
— Python (Requests / BeautifulSoup / Playwright if necessary)
— Anti-bot protection handling
— Scheduler (cron / scheduler) for daily updates
— Logging and error handling

What will be collected:
— product name
— price
— link
— availability status
— update date

Result:
— Google Sheets / Excel
— automatic update once a day
— clean structured data

I can additionally:
— compare competitor prices
— alerts on price changes
— expand to new sites

Experience:
— parsing online stores
— monitoring competitor prices
— automated data pipelines

Technologies:
Python, BeautifulSoup, Playwright, Google Sheets API

I am ready to start immediately after receiving the list of websites. Expand

Budget: 8000 UAH Deadline: 6 days

Good day. I have been professionally engaged in parser development for 2 years. I have already developed more than 20 effective parsers for online stores. In your project, I would use Python+BeautifulSoup. If needed, I can send similar projects in private messages.

Budget: 3900 UAH Deadline: 4 days

Hello. The task is clear: to collect prices for products from 3-5 competitor websites, compile them into a convenient format for comparison, and update without manual routine. I work with Python parsing, data collection and normalization, as well as outputting to Google Sheets/Excel. I also have experience in projects where it is important not just to "extract data," but to create a stable and understandable result for further work. Before full agreement, I can create a small proof of concept on 3 websites from your list: check the availability of sources, collect the name, price, link, and, if available, the stock status, and show how it will look in a table. This will allow us to immediately see the real quality of the collection and understand if there are any limitations on specific websites. If the PoC confirms normal collection, we can then build a complete version with all the websites and, if necessary, with regular updates. I will answer all questions in private messages.

Budget: 6000 UAH Deadline: 10 days

Hello! Please let me know from which source and how much data you need to parse. I am engaged in data parsing (you can see all my work in the portfolio).

Budget: 6000 UAH Deadline: 5 days

Hello! 👋

I am ready to set up a parser to collect prices from online stores in the solar energy niche ☀️🔋

The tool I will be using:
Python + Playwright / BeautifulSoup for parsing, with output to Google Sheets or Excel.
For automatic updates once a day, I can set up a scheduled run.

✔ I will collect the product name
✔ price
✔ link to the product
✔ if possible — availability status
✔ the data will be stored in a table for convenient analysis

I am ready to discuss the list of websites and details in private messages.
Let's create something beautiful together! ✨ Expand

Budget: 3000 UAH Deadline: 3 days

Hello, Oleksandr!

I specialize in parsing e-commerce platforms and bypassing bot protection systems. The task is absolutely clear — a reliable monitoring of competitors' prices in the solar energy niche is needed.

I will answer your questions clearly and directly:

1. What tool will I use?

For parsing websites: Python + Playwright (this is a more modern and reliable alternative to Selenium, which allows for perfect bypassing of Cloudflare-type protection that is often present on large stores).

For data storage: Official Google Sheets API. The script will automatically access your spreadsheet, clear old prices, and record new ones (Name, Price, Link, Availability).

For automation: I will set up the script to run on a free cloud service (for example, GitHub Actions) — it will update the spreadsheet daily at a specified time, and you won’t have to keep your computer on.

2. Approximate cost:
Since I am currently actively building my rating on this platform (although I have strong cases on Western platforms), I propose to do this project at a price below market rate: 3000 UAH for all 3-5 websites "turnkey" (script + spreadsheet + auto-launch).

3. Setup time:
3-4 days from the moment of receiving the list of websites (depends solely on how complex the protection is on these stores).

If you need not just a one-time script, but a stable system that won’t break down in a week — write to me in private messages. I am ready right now to look at your list of websites and confirm the estimate! Expand

Budget: 3000 UAH Deadline: 5 days

Good day! I am ready to set up a parser for collecting prices from online stores in the solar energy niche. The parser will collect the product name, price, link, and, if possible, availability status. The data will be collected in a table (Google Sheets or Excel), with the possibility of automatic updates once a day.

Budget: 6000 UAH Deadline: 7 days

Good day. I have extensive experience in web scraping. Ideally, your task should be implemented using requests and beautiful soup, but first, it is necessary to check the structure of the websites. Then, using pandas, it is possible to export to Excel or another required format. Feel free to contact me privately, I will be happy to help you!

Budget: 4000 UAH Deadline: 5 days

Hello!
I can implement it.

Result:
- collection of all necessary data
- automatic recording in Google Sheets or Excel
- daily updates

Deadline: 3–5 days for 3–5 websites.
The cost depends on the structure of the websites; I will be able to provide a more accurate estimate after reviewing them.

Budget: 6300 UAH Deadline: 5 days

Usually, I made parsers in PHP for simple parsers, but if these are complex stores with anti-parsing protection, then it would be better to use Python (Playwright + Google Sheets API). Also, the price may vary. The approximate range is $150-350, but in very complex cases, it can be more. Message me privately if you are interested.

Budget: 3000 UAH Deadline: 4 days

Good day! I am ready to take on this task.

Tool: Python (BeautifulSoup / Scrapy) + automatic export to Google Sheets or Excel.
What will be collected: product name, price, link, availability status (if any).
Auto-update: once a day.

Deadline: 2–4 days after receiving the list of websites.

I can start immediately after receiving the list of stores.

Budget: 3000 UAH Deadline: 3 days

Hello, Oleksandr!

I understand your task regarding parsing prices for solar energy equipment. I have significant experience in developing similar projects for e-commerce, where I implemented price collection, availability status, auto-updating, and data exporting.

I propose to develop a solution in Python using Django to create a user-friendly admin panel. There you will be able to view the collected products, manually export data to Excel with one click, and I can also set up daily automatic sending of the updated table. For parsing, I will use Python (BeautifulSoup4, requests), and if necessary, Playwright/Selenium and proxy/stealth browsers to bypass complex anti-bot systems.

The exact price and deadlines will depend on the number and technical complexity of the target websites. If the websites do not have complex protection, I can implement the main functionality within 3 days.

I am ready to discuss the details and review the websites for an accurate assessment.

Budget: 1000 UAH Deadline: 1 day

Hello. I have extensive experience in developing parsers for collecting data from online stores, including gathering product names, prices, links, and availability status, with subsequent export to Google Sheets or Excel. I can also set up automatic data updates on a schedule for convenient competitor price analysis. I work with Python and tools for stable data collection even from complex websites. I am ready to implement a parser for 3-5 stores and set up a convenient table for further analysis. I suggest moving to private messages.

Budget: 5000 UAH Deadline: 2 days

Good day, I am ready to complete your task quickly and efficiently. I have extensive experience in creating various parsers. Please write to me in private messages to discuss the details. I will be happy to help)

Budget: 10000 UAH Deadline: 10 days

Hello
I can create it as a Telegram bot, every day an automatic file with prices will be sent
I will set it up on your server
I will write the code in Python
The price is 10,000 UAH

Budget: 5000 UAH Deadline: 5 days

My bid involves setting up a parser in Python using libraries to collect data from 3-5 competitor websites in the field of solar energy, saving names, prices, links, and availability status in an Excel or Google Sheets table with daily updates.

Budget: 3500 UAH Deadline: 3 days

Good day. I can create such a parser in Python. For data collection, I use libraries for web parsing (Requests + BeautifulSoup, and if the site loads data via JavaScript - Selenium or Playwright). I would like to clarify a few details: do you need only data collection in a table or also price analysis after parsing, and should the automatic update once a day work on your server/VPS or is it enough to run it on your computer? Regarding the timeline: setting up the parser for 3-5 sites takes approximately 2-4 days, depending on the complexity of the sites. The cost of the work is 3500 UAH.

Budget: 4000 UAH Deadline: 6 days

Good day! I have worked on solar-markets.com.ua. I will also create the necessary parser for you.

Budget: 1000 UAH Deadline: 3 days

Good day!
I will set up a price parser for solar energy. I will use Python (Scrapy) for data collection, Google Sheets API for automatic data updates.

I have experience in web scraping and integration with Google Sheets.
Deadline: 3-5 days. Cost – after discussion. Write to me in private messages!

Budget: 4000 UAH Deadline: 5 days

Olexandra, hello! Recently, I wrote a parser for the online stores zelart.com.ua and gymbeam.ua for monitoring prices and product availability - I tracked changes on the site and sent notifications to a Telegram bot. I will also handle your task; it will be interesting to execute.

The stack for development I plan is the following:
- Python (BeautifulSoup4 for parsing, FastAPI as the server) for data collection
- And Google Sheets API for making changes in Google Sheets

In case of anything, I understand how anti-bot systems work on websites :)

Budget: 4000 UAH Deadline: 3 days

Good day, Oleksandra!
I can set up a parser to collect products from competitors' websites: name, price, link, and availability status (if any).

The result will be automatically recorded and updated in Google Sheets.
Deadline 2-3. Preliminary budget 4,000 UAH. Of course, I will set everything up and help you launch it.

I work as a private entrepreneur, group 3. I am ready to review the websites and discuss the details.

Budget: 1234 UAH Deadline: 1 day

Hello!
I can perform parsing or develop a solution that will allow you to perform parsing of prices and products yourself.
I will be happy to collaborate!

Budget: 700 UAH Deadline: 1 day

Good day, Oleksandra!
Overall, the task is clear, but for an accurate response regarding deadlines and pricing, I would like to clarify some questions that arose after analyzing your task.
Please write in private messages – we will discuss the details and your wishes.

Budget: 9996 UAH Deadline: 1 day

Hello. I have a ready tool for monitoring prices online. I can help you with your task.

Budget: 10000 UAH Deadline: 5 days

Hello. I created a similar parser + Telegram bot. I can implement this project.

If it is relevant, write to me, we will discuss.

Budget: 1000 UAH Deadline: 1 day

Good day
Please write in private a list of websites from which results need to be obtained for work evaluation.

Budget: 1000 UAH Deadline: 3 days

Hello
I collected goods from the site with authorization atmo.pro,
please write in private messages for clarification of details, example of results
https://docs.google.com/spreadsheets/d/10x4OmJSW6HDvp3Se4sGHmgOh2qsIS6d2/edit?usp=sharing&ouid=102318015852441438644&rtpof=true&sd=true

for discussion of details, sites, and conditions please write in private messages

Budget: 1111 UAH Deadline: 5 days

Hello! I am interested in your project. I have experience in web scraping and data collection automation, so I can implement a reliable solution for monitoring your competitors.

My approach to completing the task:

Tools: For your project, I suggest using Python (libraries BeautifulSoup/Selenium). This will allow bypassing dynamic websites and complex layouts.

Automation: I will set up a script that will automatically run once a day via GitHub Actions. The data will be sent directly to Google Sheets through the API.

Functionality: The parser will collect the name, current price, direct link, and availability status (In stock / On order).

Implementation option:

A report in Google Sheets with a history of changes (you will be able to see when exactly the competitor changed the price).

Processing 3–5 websites considering bot protection.

I am ready to discuss the list of websites and start working today. I look forward to your feedback! Expand

Budget: 1111 UAH Deadline: 10 days

I have been engaged in this type of service for a long time.
I write my own parsers for each resource and host them on my servers with support for their operation in the future.
It is necessary to test each site in order to determine the price, as each may have its own specifics and protection.
I use both browsers and direct requests.

I can send the results as a link to an Excel file in Telegram, or in Google Sheets, whichever is more convenient for you.
Please write the details in private messages.

Budget: 700 UAH Deadline: 1 day

Hello, I am a Python developer, I have experience in developing parsers of varying complexity. I can complete your project quickly and efficiently. Write to me - we will discuss the details. I am ready to start working today. I will be able to provide the price and terms after clarifying all the details.