Budget: 1000 UAH Deadline: 1 day
Good time of day!
I will do it quickly and efficiently in a day!
Feel free to reach out.
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- Rating 282
Budget: 700 UAH Deadline: 2 days
😄 Hello,
Undoubtedly, after reviewing your job description, I see that your project is primarily related to web scraping, data cleaning, and exporting them. As an experienced developer in this field, I am confident in my ability to complete this task without any issues.
I have used Python and the BeautifulSoup library for parsing HTML. It is great for navigating, searching, and modifying the parse tree. To automate script execution, I have used the built-in Python sched module for task scheduling, similar to cron jobs.
Additionally, for sending HTTP requests and receiving responses, I have used the requests module, and to bypass Cloudflare protection and similar services, I worked with cfscrape.
Regarding websites that render content using JavaScript, I have used Selenium WebDriver along with PhantomJS, which allowed me to simulate user behavior in the browser and obtain dynamic content, and to bypass Cloudflare protection and similar services, I worked with undetected_chromedriver.
🕒 I am open to both part-time and full-time employment, and I am flexible regarding time zones. I am confident that I can deliver quality execution of your project, and I guarantee that you will not be disappointed with our collaboration.
I look forward to further discussion. Thank you for considering my proposal!
Budget: 12000 UAH Deadline: 8 days
Good day.
I am ready to take on your project.
I can perform the parsing of your website using Node.js + no-code solution.
Message me privately, we will discuss all the details and nuances and find the best solution for you.
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- Rating 230
Budget: 700 UAH Deadline: 2 days
Hello! I am ready to complete your Python + Selenium project quickly and efficiently. I will clarify a few questions regarding the product table and will start right away.
Budget: 2499 UAH Deadline: 2 days
Good day! I have extensive experience in data parsing and programming in general. I will use Python (bs4, requests, selenium) for parsing. The cost is currently approximate; I need to see the website and what exactly to parse. Contact me, I will do it quickly and efficiently.
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- Rating 735
Budget: 3000 UAH Deadline: 2 days
Good day!
I have extensive experience working with Telegram bots, web scraping, and creating full-fledged websites on Django, etc.
I am familiar with the task; Scrapy can be used for quick work or bs4 and requests.
I will gladly complete your order quickly and efficiently; I am waiting in private messages to discuss the details of the order and the price.
Yevhenii V.
Winning proposal- Projects 106
- Rating 4.9
- Rating 5 435
Budget: 1500 UAH Deadline: 2 days
I will parse everything thoroughly, with a breakdown by columns. I have been engaged in parsing for over 15 years.
Budget: 1000 UAH Deadline: 1 day
Good day!
I offer my services. Please show the website so I can more accurately assess the deadlines and cost of the work. Currently, the rate is conditional; we can discuss everything in private messages.
Feel free to reach out, I will be happy to collaborate!
Budget: 1000 UAH Deadline: 1 day
Good day.
I am ready to parse the required data.
The price and terms are conditional.
Budget: 1000 UAH Deadline: 2 days
Good day! I am ready to scrape products from the specified website into a table with texts and photos.
Budget: 1000 UAH Deadline: 1 day
Good day
I have extensive experience in parsing
I work with Python + Selenium
I am ready to complete the task
The final cost and deadlines will be agreed upon after assessing the volumes
Budget: 1000 UAH Deadline: 1 day
Good day. I am ready to help with this. The cost starts from 1000 UAH.
Budget: 1000 UAH Deadline: 2 days
Good day.
I would like to see the website first - please send the details in a private message.
Budget: 1000 UAH Deadline: 2 days
Hello. I am interested in your project. I am ready to discuss and complete it!
Budget: 1000 UAH Deadline: 1 day
Good afternoon, Viktor! I am ready to do this work for you. Please send the donor's address and let me know which website needs the import.
Budget: 700 UAH Deadline: 1 day
Ready to complete
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I will briefly tell you about myself, I work with data in all its forms and specifically on various platforms like Opencart, Wordpress.
My main specialization is filling online stores, creating turnkey stores.
I will be happy to collaborate!
Available from 11 to 11 every day with rare exceptions.
Proposals concealed
Proposals are currently absent
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).