Budget: 6000 UAH Deadline: 14 days
Good day. To assess the project, it is necessary to familiarize oneself with specific resources. I indicate the minimum possible cost.
Creation of a software solution for automatic data collection about products from five target online resources and combining them into a single summary table (Excel/Google Sheets).
For each product, it is necessary to extract:
Name (full product name).
Price (current price, price without discount — if available).
Link to the product (direct URL).
Bypassing protection: Implementation of dynamic content processing (JavaScript), if the site uses it. Use of proxy servers or delays (user-agent rotation) to prevent blocking.
Summary table:
Format: .XLSX or direct entry into Google Sheets.
Important: Implement the logic for matching products (if the names on the sites differ slightly, provide the possibility of merging by article number).
Ability to start parsing on demand.
Optionally: Schedule setup (for example, once a day).
Error logging (if the product page did not load or the site structure changed).
Budget: 6000 UAH Deadline: 14 days
Good day. To assess the project, it is necessary to familiarize oneself with specific resources. I indicate the minimum possible cost.
Budget: 5000 UAH Deadline: 1 day
Good day
I professionally engage in website parsing. I will complete everything efficiently and quickly.
For an accurate assessment, we need to discuss the specifications in more detail.
I will be happy to collaborate.
Budget: 4000 UAH Deadline: 3 days
Hello. I will create a parser for 5 websites: name, price, URL, matching by article, export to XLSX/Google Sheets, logging — please provide the list of websites, we will start today.
Budget: 3000 UAH Deadline: 3 days
Good evening, I can write a parser with a user-friendly interface for automatic data collection. Before proceeding, I would like to clarify what you mean by the ability to merge by article (to collect the name from all into one or to have only unique articles)? After reviewing the websites and the complete technical specifications, there will be a cost and timeline.
Budget: 1000 UAH Deadline: 1 day
Hello!
We will develop a parser to collect data from 5 websites into a single table:
— Collection for each product: name, price, price without discount, direct link
— Processing dynamic content (JavaScript sites) using Playwright
— User-Agent rotation and delays to bypass blocks
— Summary table in XLSX or Google Sheets format
— Logic for matching products by SKU (even if names differ)
— Launch on demand + optionally a schedule (once a day)
— Error logging
Message me privately — send the list of websites, we will clarify the structure and name the cost.
Budget: 5000 UAH Deadline: 5 days
Hello!
I can implement the solution according to the project description.
I am ready to discuss the details.
Budget: 1000 UAH Deadline: 1 day
Hello, I have experience in similar projects, such functionality has already been developed. I would like to review which services we will be taking data from, then we can estimate the approximate budget. Please write in private messages.
Budget: 9999 UAH Deadline: 12 days
The task here is not in the parsing itself, but in the stable collection of data from 5 different stores with normalization of names, prices, and correct merging of identical products into one table. I work with e-commerce catalogs, feeds, and import automation, so I can build a solution with on-demand execution, error logging, and export to Excel or Google Sheets. In terms of implementation, I see this as a separate Python service: a collection module for each site, if necessary with JavaScript support through Playwright, then a data normalization layer and matching of products by article/SKU. If some sites lack articles, I will add a fallback matching logic by brand, model, and similar name to avoid mixing different items. After reviewing the 5 target sites, I will be able to provide a quote; preliminarily, such a project will take 7–12 working days. Please send me the list of sites and an example of 10–15 products that definitely need to be "merged" between sources — this way I can immediately specify the exact architecture and scope of work.
Budget: 6000 UAH Deadline: 2 days
Good day!
I have 3+ years of experience in developing parsers, automating data collection, processing dynamic content, and exporting results to Excel / Google Sheets.
I can implement a solution for automatic data collection from 5 target websites with subsequent consolidation into a single summary table: product name, price, link, as well as the logic for matching items between different sources.
If necessary, a scheduled run, error logging, and direct recording in Google Sheets can be added to make the solution convenient for regular use, not just for one-time parsing.
I suggest discussing the details, as well as the cost and timelines in private messages.
Budget: 5000 UAH Deadline: 5 days
Hello!
I can implement it. I will set up stable parsing taking into account proxies, delays, and user-agent rotation, as well as the logic for matching products (by article number or similarity of names). I have experience in complex parsing and data aggregation.
As a result, you will receive a ready tool: manual or scheduled launch, error logging, current prices, and a summary table ready for analysis.
Please let me know if the products have a stable article number across all sites, or if matching by name is necessary?
Budget: 5000 UAH Deadline: 7 days
Hello! I will create a stable parser with bypassing protections, smart product matching, and automatic export to a table.
How I will implement it:
• Data collection: Python + Playwright (for JS rendering) / Requests + BeautifulSoup. User-Agent rotation, adaptive delays, proxy pool to protect against bans.
• Product matching: Priority — article/SKU. If absent — fuzzy matching (RapidFuzz) + normalization of names. I will set merging thresholds according to your nomenclature.
• Output: Direct writing to Google Sheets (live update) + export to .xlsx. The table is ready for use immediately.
• Management: Launch on demand or on schedule (cron / simple interface / Telegram bot). Detailed error logging, alerts when website structures change.
Deadline: 5–7 days
Format: source code + instructions for launching/configuring + 14 days of support.
Send a list of 5 websites — I will do a free audit of the structure and show a demo export within 24 hours. Ready to start immediately after agreement.
Budget: 4500 UAH Deadline: 2 days
Hello, Maxim! I am interested in your project on creating a monitoring system.
I have ready-made developments in Python + Playwright, which is much more efficient and faster than the mentioned Selenium when working with dynamic content (JS) and bot protection.
What I propose:
Stable bypass of protections: Use of session rotation and quality proxies.
Smart matching: I will implement the logic of merging products by articles or by similarity of names, so that the summary table is clean.
Convenient format: Export to Excel or Google Sheets "on the fly."
I am ready to discuss the details and target resources. I am in touch!
Budget: 3500 UAH Deadline: 4 days
Maxim, good afternoon. There are similar cases in the portfolio - parsers for olx and auto.pro with export to Google Sheets. I will implement data collection through playwright with user agent and proxy rotation, matching products by article using rapidfuzz, logging errors in a separate file. Deadline: 4 days. Budget: 3500. Write to me.
Budget: 2500 UAH Deadline: 3 days
Hello! I am ready to implement a solution in C#. I have experience working with HTML parsing, regular expressions, and Selenium. I can set up automated data collection with saving in a convenient format (JSON, CSV, or Excel). I will focus on speed of operation and disguising as a real user to avoid blocks. I am ready to discuss the details and start working. The timeframe is from 1 to 3 days.
Budget: 4900 UAH Deadline: 7 days
I have significant experience in creating parsers and automation systems based on Node.js and Laravel, which are ideal for such tasks.
I have repeatedly implemented solutions for bypassing website protection, using tools for rendering dynamic content (Puppeteer/Playwright), rotating proxy servers, and emulating real user behavior. I also have experience in developing algorithms for data matching by articles and integrating with the Google Sheets API for automatic table updates.
Upon request, I can send examples of my work where similar functionality has been implemented: data collection in complex conditions and structuring it into convenient reports.
Since the complexity of website structures and the level of their protection can vary significantly, I need to familiarize myself with the target resources. After a brief analysis of the links, I will be able to provide you with an accurate estimate of the cost and timelines for the project.
I suggest discussing the details of the technical task in the chat. I would be happy to help you solve your task!
Budget: 5000 UAH Deadline: 10 days
Hello! I am ready to develop a solution for the automatic collection of product data from five target websites. Considering the confidentiality of the websites, the estimate is approximate.
Budget: 7000 UAH Deadline: 10 days
Hello, I have extensive experience in parsing. Please provide a list of websites to be parsed. I am ready to create an autonomous system for you that will work on your server. The price is 5-10k UAH, write to me, we will agree.
Budget: 5000 UAH Deadline: 5 days
Good day.
I have experience in creating a bot that parses websites with orders, I made it in Python.
Your project is very similar to the one I did. I can implement this project in Python.
Budget: 27000 UAH Deadline: 30 days
Hello!
For 10 years, I have specialized in complex projects that require high qualifications.
I have extensive experience with similar projects.
I can professionally develop a program for automatic data collection about products from five target websites.
The exact price will be determined after clarifying the technical specifications.
Work plan:
- Analysis of target websites: assessment of structure, presence of JavaScript, anti-bot protection, availability of data in the code or via API
- Designing architecture: selection of stacks, data collection scheme, task queues, database for temporary storage
- Development of parsers for each of the five resources: processing dynamic content, data selectors, normalization of names and prices
- Implementation of a protection bypass mechanism: user-agent rotation, delays between requests, connecting proxy servers
- Creation of product matching logic: merging by article number, fuzzy search by name, source priorities
- Integration of export: generation of .XLSX files or direct writing to Google Sheets via API
- Development of launch interface: start button, schedule settings, logging of process and errors
- Setting up a notification system: alerts for changes in website structure or critical errors
- Stability testing, quality data verification, optimization of collection speed
- Preparation of documentation, instructions for launching and transferring support.
Budget: 27000 UAH Deadline: 12 days
Do you have a list of 5 target websites and an example of an article/rules for matching (to "glue" products with different names)? Also, please indicate where it is more convenient to upload the summary — Google Sheets or .XLSX?
We will create a parser in Python with dynamic handling (Playwright), proxy and user-agent rotation, retries, and error logging. Launch — on demand (CLI/panel) + optionally a schedule (cron/Cloud Scheduler). We will store data in Google Sheets or .XLSX, implement matching by article + fuzzy name comparison. We have experience in data collection for marketplaces and building reliable ETL pipelines.
We are ready to start with a pilot on one site and quickly agree on the table format. Write to agree on target resources and matching criteria.
Budget: 10000 UAH Deadline: 10 days
Hello. I understand the task.
I work with E-commerce parsing constantly. I will immediately mention where the main problems will be and how I address them:
Protection against bots (Cloudflare/DataDome). Websites will cut requests and ban IPs. This is resolved through Python + Playwright, plus I connect a pool of residential proxies with rotation and browser fingerprint randomization.
Layout changes. Stores often update their design. To prevent the parser from failing with every button change, I write flexible selectors.
Product matching (matching). The most difficult part. If there are no article numbers, a regular name matching will result in a mess. I will use fuzzy search algorithms (Levenshtein) to understand that "iPhone 15 Pro 256GB" and "Apple iPhone 15 Pro 256 GB" are the same product. Anything with a questionable match percentage will fall into a separate column for manual confirmation.
In terms of money, this is approximately $200–300, and in terms of deadlines — 10-14 days.
Please send me the links to these 5 websites — I will check how strict the anti-fraud measures are, and I will be able to provide an exact price and timeline.
Budget: 1000 UAH Deadline: 1 day
I can do it, write to discuss the details. The price and deadline are conditional....
Budget: 10000 UAH Deadline: 7 days
Hello.
I can implement the solutions according to the project description.
I am ready to discuss the project and meet with the donors.
Budget: 1000 UAH Deadline: 3 days
Good day!
I am ready to implement a software solution for automatic data collection from five websites. I have experience in processing JavaScript, bypassing protections (proxy, user-agent), integrating with Google Sheets, and developing product matching logic. I will provide on-demand execution and error logging.
Write to me, and we will discuss the details!
Budget: 14400 UAH Deadline: 5 days
Maksym, I have reviewed the description — the task is clear and fits my stack.
I will implement a scraper in Python + Playwright: for each of the five websites, I will extract the full product name, current price, and price without discount (if available), direct URL. For websites with JS rendering, Playwright handles dynamic content natively. I will connect user-agent rotation and proxy servers to avoid blocks. The result will be an XLSX file via openpyxl or direct recording in Google Sheets via API, at your choice. To match products between websites, I will implement fuzzy matching by article + name (rapidfuzz) — if there are no articles, we will agree on fallback logic. The launch will be on demand via CLI, optionally I will add a cron schedule (once a day). Error logging will be in a separate file with details for each page.
One thing: can you specify which five websites need to be parsed? If they have Cloudflare or Datadome — this affects the assessment of the workload, I want to consider it right away.
Price: 14,400 UAH, deadline — 5 days.
Budget: 3000 UAH Deadline: 1 day
Good evening, we will develop the technical specifications and do everything quickly and efficiently. We can gather information in many ways, write in messages. We will process any type of protection and upload everything according to your requirements. Write to us, we will agree on the deadlines.
Budget: 4000 UAH Deadline: 5 days
Hello!
I have experience in developing parsers for collecting products from multiple websites and merging them into a single table.
How I will implement it:
- Collecting product name, price, and link
- Processing websites with JavaScript (Playwright or API, if available)
- Protection against blocks (delays, user-agent, proxies if needed)
- Creating a summary table (Excel or Google Sheets)
- Logic for matching products (by article number or similar name)
Additionally:
- Ability to run on a schedule
- Error logging
- Ready structured result for further work
I have worked with similar tasks (marketplaces, product catalogs, large volumes of data).
For clarification:
- which specific websites need to be parsed
- example products for correct matching
- format of the result (Excel or Google Sheets)
I am ready to start immediately after agreeing on the details.
A specialist is needed to collect and structure open information about sellers from marketplaces. It is necessary to determine the possibility of automated data collection and to form a database of sellers. In your response, please indicate: which marketplaces you have experience working with; what data you can obtain (seller name, link, categories, rating, number of products, other available fields); examples of similar projects.
Technical task Project Configuration of filling and synchronization of two Prom.ua stores with suppliers of auto parts. Task It is necessary to implement the loading and updating of products from auto parts suppliers for two online stores on Prom.ua. ⸻ 1. Connecting suppliers It is necessary to connect suppliers through: Supplier API; XML, CSV, XLS price lists; or another available method of obtaining products from the supplier's website. It is important to ensure complete synchronization of products between the supplier and the Prom.ua stores. ⸻ 2. Filtering and selection of products It is necessary to implement the ability to select products during import based on the following parameters: Car brand; Category of parts; Subcategory of parts; Other available characteristics. Example: For each store, there should be the ability to separately determine which categories of products and which car brands need to be loaded. Additional requirements for product selection It is necessary to implement the ability to select products during import not only by car brands and categories of parts but also by product availability status. There should be the ability to configure the following scenarios: Import only products that are in stock with the supplier; Do not import products with the status "out of stock"; Disable or remove products from Prom.ua after they are out of stock with the supplier. During pricing configuration, there should be the ability to combine filters: By car brand; By category of parts; By subcategory; By product availability. Example: Import only parts for Volkswagen and Audi, category "Braking system", that are in stock with the supplier. It is also necessary to implement a mechanism to prevent duplication of products from different suppliers. If the same product is present with multiple suppliers, only one product record should be imported into the catalog. Criteria for selecting a product when duplicates are detected: Priority is given to the product that is in stock with the supplier; If the product is in stock with several suppliers, priority is given to the product with the lowest price; If the cheapest product is out of stock, the system should choose the cheapest product among those that are in stock; Duplicate products from other suppliers should not create separate entries in the catalog. Example: Import only parts for Volkswagen and Audi, category "Braking system", that are in stock with the supplier. If the same part is available from several suppliers, only one entry is imported into the catalog — from the supplier with the lowest price among those who have the product in stock. ⸻ 3. Import of product cards During import, the following should be automatically loaded: Product name; Article; Photos; Product description; Price; Product characteristics; Manufacturer; Other available parameters. ⸻ 4. Updates It is necessary to set up automatic: Price updates when changed by the supplier ⸻ 5. Removal of unavailable products Products that are no longer in stock with the supplier should: Be disabled; or Be removed from Prom.ua (by agreement). ⸻ 6. Filling the stores It is necessary to: Create a category structure; Create subcategories; Correctly distribute products across categories; Check the correctness of product import. ⸻ 7. Work results After the work is completed, there should be: Suppliers connected; Product import configured; Price updates configured; New product addition configured; Disabling or removal of unavailable products configured; Prom.ua stores fully filled and ready for operation.
A Telegram bot is needed for automatic searching and monitoring of "BUY IT NOW" cars at auctions in the USA (Copart, IAAI). The bot should operate automatically and send notifications about new cars that meet the specified filters.Main functionalityFilter settings: 1. Car brand; 2. Model; 3. Year of manufacture (from/to); 4. Fuel type; 5. Engine volume; 6. Mileage; 7. Price range; Bot functions: 1. Automatic monitoring of new lots; 2. Checking for updates every 1-2 minutes; 3. Protection against duplicate notifications (anti-duplicate); 4. Ability to add and remove filters through the bot menu; 5. Saving settings of already existing car searches. Message format: 1. Photo of the car (4 photos); 2. Title and lot number; 3. Year of manufacture; 4. Mileage; 5. Engine type and volume; 6. Buy it now price; 7. Link to the lot.
Scrape the full catalog of these websites: https://svit-mebliv.ua/ https://kompanit.com.ua/ru https://amia.com.ua/ https://mebliromax.com.ua/ https://pehotin.com.ua/catalog/ https://www.sokme.ua/ru/ All products need to be combined into one general table for import into WP. Each product should be in two languages (UA+RU). There are also variable products, which should be saved as variations in the basic WP functionality. Import to the site can be done through plugins or a custom solution, so the format of the table can be discussed.
Tasks: invite real users from the username database to new chats and send messages to the target database. Only quality traffic and work with a live audience are of interest — performers using bots, fake engagement, or low-quality methods are requested NOT TO DISTURB. Work is exclusively through an escrow service. In your response, please indicate your experience, methods used, and cost for the volume of invitations/sending (price for 1,000, 5,000, 10,000 contacts or your rate). A responsible performer focused on results is needed.