Budget: 10000 UAH Deadline: 10 days
Good day. I am ready to complete the project. I would also like to take a look at your website to understand what I will be dealing with.
Budget: 10000 UAH Deadline: 7 days
Good day, I have been in web programming for over 9 years. I work with REST API, frameworks, and CMS such as Django, Laravel, Yii2, WP, OpenCart, CodeIgniter, etc. I am ready to complete the task. You are required to provide access to FTP and the admin panel. Reviews: Freelancehunt
Budget: 10000 UAH Deadline: 5 days
Hello! I have experience in developing parsers in Python for price monitoring, so I will implement a system for you that will take into account regional specifics. I will set up automatic daily data collection, processing of the logic for selecting regions, and integration into a table with a convenient formula for highlighting price differences. The system will operate autonomously, providing quick analysis of your competitiveness. The development price is $300–$500, with maintenance and support starting at $50 per month. I am ready to start and provide the first results of data collection within 2-3 days.
Budget: 10000 UAH Deadline: 7 days
Hello!
The task is clear. I have experience in developing parsers, monitoring competitors, and automating analytics.
Implementation:
- daily price parsing
- processing regional prices:
separate collection for each region
correct matching of products between websites
- saving results in a table with price history
- automatic launch on schedule
- analytics in the table
- comparing your price with each competitor
- highlighting the difference
- a table template convenient for quick analysis by regions and dates
Cost
Turnkey development: 10,000 UAH
parsers
regional logic
table with formulas
testing
Support: 1,500 UAH / month
stability control
minor adjustments when changes occur on websites
Deadline
4–6 working days to launch the first stable version
Ready to start immediately. To begin, I need:
a link to your website
the desired table format
Budget: 10000 UAH Deadline: 6 days
Hello. I have extensive experience in developing parsers in Node.js. I am ready for collaboration.
Budget: 10000 UAH Deadline: 4 days
Good day! I have extensive experience in parsing various websites, having completed many similar projects. I use Python (requests, bs4, selenium) for parsing, and I can also connect a proxy if necessary. I will do it quickly and efficiently as much as possible. I also promise to support the project and always be in touch after the project is completed. I will be happy to collaborate! Write to me, we will discuss)
Budget: 9500 UAH Deadline: 5 days
Hello! I am ready to complete your task, I have experience working on similar projects.
Budget: 10000 UAH Deadline: 1 day
Hello, I have experience in data parsing. I can create the source price tables for you in CSV/XLSX format. The cost for 1000 prices is about 30 dollars. Please provide detailed specifications so I know how many prices there will be and how to create the source table. Thank you.
Budget: 10000 UAH Deadline: 5 days
Hello.
I represent the Nexus Core team. We are currently working with parsers and regular price monitoring, including when the price depends on the region and logistics, so your task is clear to us. We can develop a script that goes through the necessary websites (metinvest-smc, AVMG, your website) daily, retrieves current prices considering the region, records them in a table according to your template, and automatically calculates and highlights the difference between your prices and competitors' prices for quick analysis.
Regarding the cost of work and support, it is better to finalize everything after we see your table template and the list of regions: please write in private where exactly the data needs to be recorded (Google Sheets, Excel, database) and how often you want updates, and I will respond with a reasonable price for development and a monthly support package to ensure the system works smoothly without your intervention.
Budget: 10000 UAH Deadline: 6 days
Good day!
I have over 4 years of experience in developing parsers of various complexity (examples in portfolio and completed works). I am ready to implement a turnkey parser in Python in the shortest possible time, which will collect data from different regions and write it to Google Sheets. I am also ready to assist with the refinement/support of the project and its hosting, if necessary.
I suggest discussing the project details in private messages.
I will be happy to collaborate!
Budget: 10000 UAH Deadline: 5 days
I am ready to perform this work, write to discuss the details. ...........
Budget: 10000 UAH Deadline: 5 days
Hello
I will complete the task without any problems.
I will do it with regional prices.
Write to me in private messages.
I will start right away.
Budget: 10000 UAH Deadline: 3 days
Hello!
I have extensive experience in writing parsers and working with similar types of websites. I am ready to quickly and efficiently create the tool you need. We will validate and prepare it in the format you require. I will assist with the API integration on your website.
I hope for fruitful cooperation!
Budget: 10000 UAH Deadline: 1 day
Good day
I understood the technical task, but there are questions that need to be clarified so that I can provide the full price.
In any case, we will fit into your budget.
Budget: 10000 UAH Deadline: 5 days
Good evening. Recently, I created a parser that collected data from 2800 products, including 40 unique product characteristics, price, description, title, and images. I can do this in Python, Node.js, or PHP. I also know how to bypass anti-bots and IP blocks. Write to me, and we will discuss. About myself: I have experience in creating websites from scratch in PHP, as well as WordPress WooCommerce. I specialize in theme development, content integration using ACF, development with Gutenberg and Elementor builders, as well as responsive layout. I develop plugins for WordPress in PHP using SQL. I would be happy to collaborate!
My portfolio:
https://lightslategray-wolf-443112.hostingersite.com/
Budget: 10000 UAH Deadline: 7 days
Hello!
The task is clear. The main challenge here is not the data collection itself, but the simulation of location selection, as websites like Metinvest or AVMG change content depending on the selected city (through Cookies or local browser storage).
My implementation plan:
1. Development of a parser (Python + Playwright/Selenium): I will configure the algorithm to access competitors' websites as a user from a specific region (Kyiv, Dnipro, Lviv, etc.) to obtain relevant pricing.
2. Automation (Daily Run): The script will run automatically every morning (for example, via GitHub Actions or a server) to ensure that the data is always up-to-date before the start of your workday.
3. Integration into Google Sheets: The data will be recorded in a convenient table. Each row will represent a date, and each column will represent the price for a specific item in a specific region.
4. Analytical template: I will set up formulas and conditional formatting:
Green - if your price is lower than competitors.
Red - if you are more expensive (so you can react instantly to the market).
Estimated cost:
- System development: 10,000 UAH. This includes writing parsers for 3 websites, setting up regionality, and creating a table with formulas.
- Maintenance: 2,000 UAH. Websites often change their layout to protect against parsers. The cost includes prompt script corrections and monitoring to ensure that the data does not "drop."
Why choose me?
I do not just "extract" numbers; I create a decision-making tool. You will receive not just code, but a ready-made dashboard that works autonomously.
I am ready to discuss the complete list of regions and items that need to be tracked to provide a final calculation.
Budget: 10000 UAH Deadline: 3 days
Oleg, good day.
I have familiarized myself with the technical task and the structure of the websites. I am ready to take on the implementation.
I have significant experience in data parsing and automation.
Deadline: 2-3 days
Write to me, we will discuss the details.
Budget: 10000 UAH Deadline: 10 days
Hello!
I write parsers with hosting on my servers and support their operation in the future.
I am familiar with this type of work, collaborating with many clients in various industries for price collection and comparison with competitors.
Write to me, we will discuss the details and I will find a convenient implementation option for you.
Budget: 10000 UAH Deadline: 5 days
Hello, I can develop a price parser in Python and conveniently record all the necessary data, for example, in Google Sheets.
Or we can also create reports in a Telegram bot, or however it will be convenient for you.
Write to me in private messages, we will discuss everything in detail and I will start working right away)
Proposals concealed
Proposals are currently absent
Proposals concealed
Budget: 10000 UAH Deadline: 5 days
Good day, I have been doing parsing for more than 6 years. I am ready to help. Write to me and we will discuss!
Budget: 10000 UAH Deadline: 3 days
The final price depends on the number of websites and final details; we will agree on the price for support, please contact us.
Budget: 27000 UAH Deadline: 2 days
Hello! I am ready to develop this tool turnkey.
I specialize in Python parsing of complex websites (where there is protection or regional selection).
How I will solve your task:
Bypassing regionality: My script will automatically simulate user input, switch the city (Kyiv, Dnipro, Lviv, etc.) and save prices specifically for the selected location.
Data collection: The script collects prices from Metinvest, AVMG, and your website every morning.
Reporting: The data automatically goes into Google Sheets (or Excel).
Analytics: I will set up formulas and conditional formatting. If your price is higher than the competitor's — the cell lights up red, if lower — green. You will see the situation in 5 seconds.
Cost and terms:
Development: 3000 UAH (Term: 3-4 days).
Support: 1000 UAH/month (This includes server rental so that the script runs 24/7 without your involvement, and fixing if the websites change their design).
I am ready to create a test example of price collection from one region so that you can verify the quality.
Write to me, and we will discuss the details!
Budget: 10000 UAH Deadline: 1 day
Hello!
I can develop a parser that automatically collects prices from specified competitors (Metinvest, AV Metal Group, and your website) by region every day, stores the data in a single table (Google Sheets / Excel / Database), and takes into account different regional price lists. In the template of this same table, I will set up formulas and conditional formatting that will highlight the difference between your prices and the competitors' prices for quick analysis of each item.
I am ready to discuss in private messages the export format (CSV/Sheets/API), target regions, update frequency, and stack (Python script on the server or cloud script), and only after that propose a step-by-step implementation.
Budget: 10000 UAH Deadline: 3 days
Good day! I will complete the task, I have experience in developing parsers. I can do it for 6000.
Budget: 10000 UAH Deadline: 3 days
Hello.
I have extensive experience in writing parsers.
I have created solutions that were used for similar price monitoring.
I can create a quality application.
The price depends on the number of websites that need to be monitored and the method by which such monitoring will be conducted.
I work on an hourly basis - $30.
Message me privately, and we will discuss all the details. After that, I will give you the exact price.
Budget: 10000 UAH Deadline: 4 days
Hello, Oleg!
The task is clear. The main problem with Metinvest and AVMG is that they dynamically pull prices through local browser storage. Most regular parsers will just collect "general" prices, which will be incorrect for logistics analysis.
What I propose:
Accurate regional binding: I will configure the parser to simulate requests from specific cities (Kyiv, Dnipro, Lviv, etc.). You will receive the price from the warehouse that competes with yours in a specific region.
Smart decision-making table: I will not just dump the data into Excel. I will create a template where:
The difference in % and hryvnias is automatically calculated.
Color signals: Green (you are in the market), Yellow (price on the edge), Red (you are losing customers due to inflated prices).
Stability: Metal traders often update their websites. I will package the parser in a Docker container and configure it to work autonomously 24/7, and I will provide support if the website layouts change.
Budget: 10000 UAH Deadline: 1 day
Hello. I develop parsers in Python. I will create a quality parser with proxies and automatic loading of products and prices to your website. I can also do an export without loading to the website. I will create a formula with a difference for each region. I am ready to make corrections if you test it and are not satisfied. I can also install the script on the host.
Budget: 10000 UAH Deadline: 3 days
Hello! I have reviewed the project and am ready to start working. I am sure you will be satisfied with the result.
- Projects 7
- Rating 3.4
- Rating -
Budget: 9500 UAH Deadline: 5 days
Hi.
I have experience and a desire to work.
I'll complete the work within the agreed-upon timeframe.
Budget: 10000 UAH Deadline: 7 days
Good day, I have experience in data parsing and I am confident that I can complete this task. Parsing prices from the specified websites requires adjustments for each region to properly account for logistics. I am also ready to create a formula to highlight the price differences for ease of analysis. My price for developing the parser and providing support is 10,000 UAH, as the task is quite complex due to the need for integrations and support. The actual completion time is up to 7 days. If you have any additional requirements or clarifications, please let me know.
Budget: 10000 UAH Deadline: 5 days
Good evening, I specialize in developing parsers, I can create a parser for price ratios in percentages, etc. Write to me — I will be happy to collaborate.
Budget: 10000 UAH Deadline: 7 days
Good day. I have experience in developing price parsers (Python + BeautifulSoup / Playwright for websites with dynamic content). I can implement daily price collection for each region, automatic recording in Google Sheets or a database, and set up formulas to highlight the difference with your prices.
The parser can be hosted:
on a VPS (the best option for stable operation),
on your server,
or in the cloud (for example, DigitalOcean / AWS).
Launch — on a schedule via cron (for example, daily at 08:00), with error logging. If needed, notifications can be added to Telegram in case of changes on the website or parsing errors.
I am ready to discuss the details regarding regions and the structure of the table.
Budget: 10000 UAH Deadline: 3 days
Good day!
I will professionally develop a price parser in Python that will collect data daily from specified websites, taking into account regional features.
I have experience in web parsing, automating work with Google Sheets, and setting up formulas for analyzing competitive prices with highlighting. I will provide development and support.
Please write to me in private messages to discuss the details.
Budget: 10000 UAH Deadline: 10 days
Good day. In what format is the application needed? Should it be a website or a desktop application? If it's a website, then on ASP.NET Core, if it's a desktop application, then on WPF. Reliability will be covered by unit/integration tests according to your requirements (that is, it is necessary to know in advance what result you expect and the tests will check the code for compliance with these requirements).
The price and deadlines are conditional.
Budget: 15000 UAH Deadline: 3 days
I can create a parser for both sites to pull data. Approximately 1 day / 5k for each platform, they are simple. Regarding uploading and comparison - we need to see what your site is built on. Tentatively - I can also do it in 1 day / 5k, but we need to check on-site how everything is done there. By the way, they have prices in different options - per linear meter, per ton, and per kg. This also needs to be taken into account during the upload.
Proposals concealed
-
Vitalii Zhovnirchyk 11 Februaryпо чому потрібно співставляти ціни на ваші товари з конкурентами ? Кількість товарів для співставлення ?
Current freelance projects in the category Data Parsing
Good day! Two tasks need to be completed: 1. Develop a product parser from an external website (10–40 thousand items, marketplace) with structured data saved in MySQL for subsequent output in WordPress. 2. Install and configure n8n on VPS, as well as organize AI content processing: prompt setup, text rewriting, image processing, SEO optimization, and text checking for AI detection. You can estimate the cost of completing both the entire project and each task separately. .
It is necessary to perform parsing from Viber channels (Total number - 49 channels, about 80 thousand subscribers).
An independent service handler for Excel files is required for the existing microservices system. The task involves creating a reliable pipeline for receiving, validating, and transforming data from tables into a structured database format. Functional tasks: Development of an API based on gRPC for receiving processing commands and returning execution statuses. Implementation of file parsing logic: reading large volumes of data (XLSX), cleaning, type checking, and mapping to business models. Implementation of a data access layer (Repository/Unit of Work) for saving results in PostgreSQL via Entity Framework Core. Ensuring thread safety and efficient resource usage (especially when processing large files). Technical requirements: Platform: .NET 10. Architectural patterns: Dependency Injection, CQRS, modular project architecture. Communication: Strictly gRPC. Working with Excel: Use of efficient libraries (e.g., EPPlus, OpenXML, or similar of your choice). Modularity: Code should be organized so that the service is easily scalable and testable. Expected results: A fully functional microservice ready for deployment in a containerized environment. A clean codebase adhering to SOLID principles. Documented .proto files. Basic unit tests for critical data processing nodes. Candidate requirements: In your response, please specify: Your experience with .NET in microservices architecture. Examples of how you organize DI and modularity in your projects. Experience with Excel libraries in .NET. Willingness to work with gRPC contracts.
Good afternoon. I need a keyword parser that outputs results through a Telegram bot. How it should work: Automatic search on 4 websites for keywords that change from time to time. Search queries are sent every few minutes. The words are uploaded in the form of a .txt file. The Telegram bot should have buttons: start bot, stop bot, download file (downloads a file with active keywords), upload file (uploads an edited file with new words). The bot should ignore previously found results, i.e., it should not indicate the same ad twice. The result comes to the bot in the form of a link with a photo, but just a link is sufficient. P.S. searching websites without API, VPS with 6TB and 50 IPs are already available. For detailed information, please contact me via private message.
Task: one dashboard with all business metrics — advertising, funnel, payments, manager performance, revenue planning. Data is pulled automatically via API. Scope: only the YCL direction (employment in Europe). Kommo has other directions — only YCL funnel deals will be included in the repository (filter by funnel/tag to be agreed upon).1. Data Sources (Integrations) Kommo CRM — leads, deals, funnel stages, responsible persons, sources, dates of transitions between stages (must keep history), reasons for refusals, custom deal fields (see point 2). Stripe — payments, amounts, statuses (success/failure/refund), linked to deals. Meta Ads — expenses, impressions, clicks, CPL, leads by campaigns (currently operational). Google Ads, Reddit Ads, LinkedIn Ads — planned; architecture — extensible connectors without core rework. SEO/organic— Google Search Console + GA4. Cross-link: traffic source → lead in Kommo → payment in Stripe (UTM, deal ID in Stripe metadata — propose the mechanism). 2. Mandatory Cuts (Deal Fields in Kommo) Each metric must be filtered/grouped by: Client Citizenship (Kenya, Nigeria, India, etc.). Residence Status: lives in their country / expat (already in Europe). These are two different segments with different cycles, conversion rates, and checks. Country of Placement / Service: Poland, Serbia, Slovakia, Germany (ZAV). Manager, team, traffic channel, period. If any fields are missing in Kommo — the executor indicates which fields need to be added, the client adds them.3. Funnel and Leading Indicators Data by funnel, for each stage — summary and leading metrics: Traffic → lead: leads, CPL by channels + day-to-day expense/click dynamics. Lead → qualification: conversion + first response speed, touches/calls to the manager per day, unanswered leads. Qualification → contract/invoice: conversion + sent offers, stalled deals (days in stage above norm). Invoice → payment: payments, average check + unpaid invoices, failed payments. Summary: revenue, ROMI by channels, run rate to monthly plan. 4. Deal Cycle Average and median lead → payment cycle (business benchmark ~4 weeks), cycle trend over time. Breakdown of cycle by stages (how many days a deal sits at each stage) — to see which stage is dragging. List of deals that have stalled at a stage longer than normal. Cycle breakdown by segments: citizenship, residence status, country of placement, manager. 5. Early Warning of Decline (Key Block) Since the cycle is ~4 weeks, today's leads = payments in a month. The system must: Compare leads/qualifications of the current week with the moving average (4 weeks) and issue an alert if there is a downward deviation: “leads -X%, with a 4-week cycle expect a payment decline in the week [date].” Build payment forecast for 4 weeks ahead from the current pipeline: deals at each stage × historical conversion of the stage × remaining cycle. Highlight in red weeks where the forecast is below plan — with time to react. 6. Additional Payments and Sales Planning In the Kommo deal card, the date and amount of the planned additional payment are stored. The system must: Collect a calendar of upcoming additional payments: total expected, by weeks/months. Highlight overdue additional payments (date passed, no payments in Stripe) — a separate list for follow-up. Calculate the monthly plan as: plan − already paid − scheduled additional payments = how many new sales are needed (in money and in deal units at average check). Weekly schedule: additional payments + forecast of new payments against the weekly plan. 7. Manager Performance Daily snapshot for each manager: touches/calls, conversations, sent offers, payments — for each day separately, with a chart over the period. Progress on personal plan compared to monthly pace (ahead / on pace / behind). Benchmarking with colleagues. 8. Visualization and Roles “Traffic lights” (green/yellow/red) for key metrics relative to norms/plans; progress scales; trend graphs; mobile adaptive. Roles: CEO — everything; COO — entire funnel and managers; team lead — their team; manager — their metrics and position relative to colleagues. 9. Reports and AI Automated reports on schedule (daily summary, weekly report) in the dashboard and/or messenger. Free-form queries (“how has CPL from Meta changed over 2 weeks?”) — LLM over the repository. Alerts in the red zone and according to the rules from points 5–6. 10. Technical Expectations and Staging Repository (PostgreSQL/BigQuery or equivalent) + ETL: Kommo webhooks + periodic synchronization (15–60 min). Frontend: custom or BI tool — propose with justification; requirements for roles, traffic lights, forecasts, and AI queries must be implementable. Stages: (1) audit and metrics map → (2) MVP: Kommo + Stripe + Meta, funnel, traffic lights, roles → (3) deal cycle, early warning, additional payments and plan → (4) SEO, AI reports, alerts → (5) new advertising channels. Payment is staged, with a demo for each stage. In the response, indicate: similar projects (end-to-end analytics), stack with justification, timeline and cost estimates by stages, monthly ownership cost (hosting, tokens, licenses).