• Projects 13
  • Rating 5.0
  • Rating 3 633

Budget: 20000 UAH Deadline: 20 days

Good day, Georgiy!

I specialize in developing automated AI/workflow systems, integrations, and building pipelines on n8n using LLM models, parsers, and third-party APIs. I work on tasks where data processing stability, scalability, and structure control between nodes are important. Your case looks like a well-thought-out production pipeline, and this is exactly the type of task where n8n fits very well as an orchestration layer.

To provide you with an objective estimate on timelines and costs, I would like to clarify a few points:

— What is the estimated processing volume planned (products/donors per day)?
— Are all donors uniform in structure, or will separate mapping/parsing be needed for different sites?
— Is the XML/YML feed formed for a specific marketplace or under your own standard?
— Is caching/saving of intermediate results needed (for example, parsed raw data or AI output)?

  • Projects 30
  • Rating 5.0
  • Rating 5 747

Budget: 27000 UAH Deadline: 12 days

I don't pass Telegram - both parties can get blocked on the marketplace for that =/ It's better to keep everything here for now.

Regarding Cloudflare, I wouldn't do the main parsing with a local browser on a VPS. I would connect ZenRows or ScrapeOps through HTTP Request with JS rendering in n8n, using managed proxies, limits, retries, and proper logging. If the donors are very different, I would move the parser to a separate service and keep n8n as the orchestrator.

For the Claude API, I wouldn't rely solely on the prompt. Stability is achieved through tool use with JSON schema, temperature 0, a list of allowed categories and tags, schema validation in n8n, retrying the request on error, and quarantining the string if the model returns invalid data again. Then the subsequent nodes receive only validated fields.

The timeline estimate is 10-14 working days after access and test donors. As for the budget, a complete setup of such a conveyor is likely to start from 45,000 UAH. !!6,500 UAH is enough for a short prototype or audit of the technical specifications!!, not for stable configuration with logs, feed, proxies, and error handling.

My approach is to first establish a basic chain with 1-2 donors, check the data schema, then add category dictionaries, generate in two languages, assemble XML/YML, and monitor errors. We won't complicate things where n8n can handle it well, but we will extract code for what will become fragile in the nodes.

Mobile app with admin
  • Projects -
  • Rating -
  • Rating 496

Budget: 15000 UAH Deadline: 10 days

Доброго дня! 3-тє місце соло на AI Agent Olympics Hackathon (AI Week 2026 Milan, найбільша AI-подія Європи, 731 команда). Production multi-agent + RAG системи на n8n + Claude - основний стек, MSc Strategic PM, PRINCE2.

По питаннях:

Cloudflare bypass: Scrapfly або ZenRows як основний шлюз через HTTP Request ноду (residential IP rotation + browser fingerprinting, ~65% domain coverage в 2026). Bright Data як fallback на складних доменах. ScrapeOps теж робочий варіант, але дешевший Scrapfly зазвичай дає кращу success rate на Cloudflare/DataDome.

Стабільний JSON від Claude: використовую нативний Structured Outputs (output_config.format з JSON schema) - це офіційна фіча Claude API, не prompt engineering. Гарантує валідний JSON під schema, наступні ноди в n8n не падають. Плюс fallback: JSON Parse нода з try/catch + retry з temperature 0. До речі, для production рекомендую Sonnet 4.6 або Opus 4.7 замість 3.5 - кращий JSON compliance та дешевше за токен на 4.6.

Орієнтовно: 7-10 днів, 15 000 грн.

Illia Dunaiev

Illia Dunaiev

Winning proposal
4 0
  • Projects 4
  • Rating 5.0
  • Rating 1 036

Budget: 6500 UAH Deadline: 3 days

Hello, Georgiy, I implemented my last project using scrapling and LLM integration.
Let's go step by step:
1. For integration with Google Sheets, you can use the node with the official API.
2. Bypassing CAPTCHA, there are currently two approaches that work:
1) Use scrapling with their built-in DynamicFetcher with stealthy settings.
2) Use CDP with CloakBrowser — the most reliable option.
3. You can connect in three ways:
1) Write a lightweight backend and call it (reliable and stable)
2) Write your own node (time-consuming)
3) Use the Execute Command node (but this is less stable than the first option)

  • Projects 4
  • Rating 4.9
  • Rating 976

Budget: 27000 UAH Deadline: 10 days

Доброго дня
Мене звати Дмитро. Маю досвід з n8n, AI automation, Claude API, парсингом, workflow orchestration та e-commerce автоматизаціями.
Ваш pipeline виглядає дуже грамотно побудованим — особливо подобається підхід із JSON-only AI flow та розділенням логіки по етапах.
Можу допомогти з:
— побудовою та стабілізацією n8n workflow
— інтеграцією Google Sheets/Drive API
— Claude API orchestration
— Cloudflare bypass parsing
— XML/YML feed generation
— error handling / retry logic

  • Projects 29
  • Rating 5.0
  • Rating 1 885

Budget: 6500 UAH Deadline: 7 days

Hello! I have relevant experience with similar tasks, and I can help with your project. I can quickly familiarize myself with the requirements, propose the best solution, and execute the work thoroughly. I am ready to discuss the details and get started.

  • Projects 5
  • Rating 4.9
  • Rating 1 753

Budget: 6500 UAH Deadline: 1 day

Good day! 👋

Regarding your questions:

To bypass Cloudflare — ZenRows or ScraperAPI via HTTP Request node with proxy rotation.
Stable structure from Claude — system prompt with a strict JSON schema + temperature: 0 + validation in Function node with a retry on invalid JSON.
We will implement everything — all 4 stages from reading Google Sheets to the finished XML/YML feed. We are ready to start immediately. We will discuss the details in private 🤝

  • Projects -
  • Rating -
  • Rating 229

Budget: 6500 UAH Deadline: 3 days

Hello! We are a team of developers with 4 years of experience in bot development, process automation, and professional data parsing in Python. Hybrid workflows based on Claude 3.5 are one of the best ways to effectively extract and structure frequently changing information. We will take on the full cycle: from writing a reliable scraper (scripts to bypass blocks) to integrating a neural network for intelligent analytics of the collected content. Since we are a team, you will receive a tested and fault-tolerant turnkey solution with a well-thought-out architecture. Let's discuss the data volumes and target sites in private messages for precise system configuration!

  • Projects 38
  • Rating -
  • Rating 2 019

Budget: 27000 UAH Deadline: 15 days

Good day, I can implement everything turnkey without any problems. I have over 5 years of experience in automating business solutions using Python, have worked with large brands, and developed more than 50 automations, with and without AI. I would like to take a closer look at the technical task; if it is written using AI, 70% will need to be redone since they often do not select the right technologies or solutions. I will guide you through each stage and answer any questions. Feel free to reach out!

  • Projects 118
  • Rating 5.0
  • Rating 9 922

Budget: 6500 UAH Deadline: 3 days

Hello.

I can set up a workflow for you. Write to me, and we will discuss.

  • Projects -
  • Rating -
  • Rating 196

Budget: 18000 UAH Deadline: 7 days

We already have a nearly ready similar solution for AI generation of cards and feeds, which can be quickly adapted to your tables, donors, and marketplace rules. ))

In terms of timing, I would estimate about 5-7 days for the first stable phase.
Regarding the budget - starting from 18,000 UAH for a working conveyor in n8n with logs, structured JSON, and export to XML or YML.
6,500 UAH will likely only be enough for a prototype without a proper error handling buffer for parsing.

I won't be able to switch to Telegram within the first contact - the marketplace may ban both parties.
We can agree on everything here.

For Cloudflare, I would use ZenRows, ScrapeOps, or Apify with browser rendering, proxy rotation, retries, and result caching.

  • Projects 9
  • Rating 5.0
  • Rating 726

Budget: 6500 UAH Deadline: 3 days

Hello! I have reviewed your project and am ready to start working immediately. I guarantee excellent quality and promptness.

  • Projects 4
  • Rating 5.0
  • Rating 1 518

Budget: 6500 UAH Deadline: 3 days

Hello. Four stages with Cloudflare bypass and three consecutive Claude nodes in JSON mode is not a typical n8n flow; here you need to think about retry logic and edge case handling at the data level, not just connecting nodes. Over the past year, I have built two similar pipelines for e-commerce: one using ScrapeOps + n8n for 800+ SKUs daily, and the other with ZenRows + OpenRouter for multi-core parsing. Both produce YML feeds without manual intervention. For Cloudflare - ZenRows with JS rendering, because ScrapeOps often fails on complex challenges. For stable JSON from Claude - a separate system prompt with an example (few-shot) plus a validation node using a zod schema before passing it on; if Claude returns broken JSON - the node catches it, logs it, and retries with a temperature of 0.1. Regarding timelines - 3-5 working days, as the technical specification is already ready, but Cloudflare bypass always requires testing on real donors. Question: how many donor sites are approximately in the pool and are there any among them that use PerimeterX or DataDome? This will affect the choice of gateway and the number of test iterations.

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