Автоматизація flow обробки Lumen Database скарг та Google Counter notice form

Budget: 4000 UAH Deadline: 4 days

Welcome! The Business Atlas team is ready to implement your system for automating work with Google Counter Notice. I am Oleg, the project manager of the company, and we specialize in building autonomous AI ecosystems and complex automation systems.
Instead of custom development from scratch, we propose to build a flexible system based on Low-code architecture and AI agents. In my experience, I have completed over 50 successful projects in the UA/EU markets, where delegating logic to visual platforms significantly reduced Time-to-Market without losing stability.
Our vision for technical implementation:
•Data collection and filtering (n8n / Make): The n8n platform will act as the main conductor. It will automatically connect to Outlook via API, read emails from the verification flow, extract primary links, and browser automation modules will collect the final full URLs. The system will then filter the addresses, leaving only your domains.
•Generation of Appeal (AI module): The cleaned data will be sent via API to AI (OpenAI/Claude). We will develop a system of prompts for the AI to generate unique and legally correct appeal texts for each case.
•Submission of Google Counter Notice: In the first stage, we will set up a semi-automatic mode (data and text will come to Telegram or a spreadsheet, where the manager presses the approval button). After testing, we will transition the system to full automation through web requests.
•Centralized storage: All Report IDs, texts, logs, and statuses will be consolidated into a single database. We have extensive successful experience deploying n8n + Airtable connections, so we propose using Airtable, Supabase, or PostgreSQL.
Estimated timeline and cost for MVP:
•Setting up Outlook flow, parsing, and filtering URLs: 1 week.
•Integration of AI appeal generator and logging into the database: 1 week.
•Automation of Counter Notice submission and final tests: 1 week.
Total implementation time: 2.5 – 3.5 weeks.
Estimated cost: $2,500 – $3,500 turnkey (depending on the complexity of the submission form and the choice of final database).
The exact budget will be fixed after a brief expert diagnosis of your current infrastructure.
Are you ready to discuss the details in person? Expand

Budget: 27000 UAH Deadline: 21 days

We can take this as a stage automation - the benchmark for the first working version is 21 days and 90,000 UAH. We will be more precise after a brief analysis of the accesses, because there is a nuance - Google Counter Notice is better done in a semi-automatic mode with human confirmation, to avoid breaking the form rules and getting blocked =)

For implementation, I would go through a central application repository, a separate Outlook verification flow module, a full URLs parser, a domain filter, AI API-generated appeal text, and a queue for submitting Google Counter Notices. For each step, we need Report ID, status, action log, appeal text, errors, screenshot, or technical trace. Without this, such a system quickly turns into a black box, and a black box in business is just a coffee grinder with claims.

Clarifications
> Which specific domains need to be filtered and are there any exclusion rules?
> Should Google Counter Notice only prepare the form for manual confirmation or also press the final submission?

Similar types of work cases
> https://business.ingello.com/vorfahr - automation of processes and AI logic for a complex operational scenario
> https://business.ingello.com/fractal - agent architecture and management of multi-step actions
> https://systems-fl.ingello.com/ua - briefly about our approach to system development on the exchange

We can keep it simple at the start - first, we create a stable semi-automatic MVP with logs, roles, and manual confirmation of risky actions, and then we raise the level of automation. From my feelings, this is a normal path for such a process, as the cost of a mistake here is higher than the cost of careful architecture. Expand

Budget: 15000 UAH Deadline: 10 days

Elizabeth, this task fits well into automation with controlled manual steps where verification is needed. I can gather a flow for Outlook verification, browser automation, filtering your domains, generating appeals through AI API, and centralized storage of Report IDs, statuses, and logs. I have experience in web automation and integrations, so I will help make the process stable and transparent. Let's discuss how to better organize submission and tracking.

Budget: 12000 UAH Deadline: 4 days

Hello, Yelyzaveta! The categories are chosen absolutely correctly, as the task requires building a clear Backend automator. I am ready to implement a stable and transparent system for you in Python.

I suggest dividing the development into logical modules for maximum reliability:

Outlook Flow: Automatic email reading, extracting verification links, and authorization on Lumen using Playwright (it handles edge cases much better than Selenium).

Filtering and AI: The script will automatically filter only your domains based on the whitelist configuration and generate legally correct appeal texts through the AI API using a clear structured template (without any "creativity" from the neural network).

Control and Storage: We will create a centralized database (for example, SQLite or PostgreSQL) for tracking Report ID, logs, and statuses of each complaint.

Submission: I recommend implementing a semi-automatic mode (the system prepares the case, and the manager makes the final click), which completely eliminates the risk of blocks from Google. Expand

Budget: 27000 UAH Deadline: 20 days

We already have a nearly ready similar solution for processing complaints, which can be quickly adapted and launched; we can discuss it here now - I'm available ))
The benchmark for the first working module is from 120,000 UAH and about 20 working days.
I would do this as an operator panel with a queue of complaints, checking Outlook, extracting full URLs, filtering your domains, generating appeal text via AI API, logs, and statuses for each Report ID.
It's better to keep the AI API not fully autonomous at the submission stage, but with manual confirmation before the Google Counter Notice - there's a nuance here, as the legal text must be approved by you.
Please clarify how many domains and Outlook accounts need to be processed at the start.
Another question - should the Google Counter Notice be sent completely automatically, or is a draft mode with a confirmation button for the operator needed?
Similar cases in terms of automation logic and AI processes - https://business.ingello.com/fractal and https://business.ingello.com/vorfahr.
As an example of a corporate system with roles, data, and processes - https://business.ingello.com/platforma.
Our profile on such systems - https://systems-fl.ingello.com/ua.
Overall, it's a normal task for a quick MVP, and then we can build up analytics, re-checks, and quality control of responses =/---

Budget: 22000 UAH Deadline: 10 days

Hello.

For this project, I would start with a stable semi-automatic MVP: the system collects the case, goes through the verification flow, extracts full URLs, filters the necessary domains, prepares the appeal text, and saves the entire chain in statuses and logs.

The key here is to make the process controllable: a separate state for each complaint, saving the Report ID, error history, reprocessing after a failure, and manual confirmation at the final step of the Google Counter Notice. For such forms, this is more practical, as the final submission has legal weight.

Technically, I suggest: Python, Playwright for the browser part, Microsoft Graph/MSAL for Outlook, PostgreSQL for cases/logs, AI API through a template with fixed mandatory fields.

Before starting work, I need to clarify:
how many Outlook accounts and complaints are processed per day
whether full automatic submission is needed, or final confirmation by a person
which domains and exclusion rules we are using
what format of reporting is needed after processing

We can discuss the details in private messages. Expand

Budget: 13673 UAH Deadline: 3 days

I understood the specifications: a complete flow for processing DMCA complaints through Lumen Database — we receive the Outlook verification email, go through the OAuth flow, parse the full URL from the complaint, filter only our domains, generate the appeal text using LLM, semi-automate the submission of Google Counter Notice through a form, and store the Report ID along with statuses and logs. All of this in one pipeline with centralized storage.

Regarding the components as I see them:

Outlook verification flow. Microsoft Graph API via MSAL — we obtain the verification email, parse the magic link, and automatically complete the verification. If Lumen requires a click through the browser with cookies — Playwright with persistent context, not Selenium (Playwright is more stable on CAPTCHA edge cases and has better network interception). The request to Lumen API for the full URL in the complaint is made with a verified session.

URL filtering. Tldextract plus your whitelist of domains. We will extract the filter into a separate config so you can add/remove domains without redeploying.

Appeal text generation. Claude API with a structured prompt, where the model receives the context of the complaint (claimant, type of content, URL) and returns a legally correct counter notice based on the DMCA section 512(g) template. It is important here not to give the model "creativity" — each counter notice must contain mandatory points by law (good faith statement, consent to jurisdiction, signature line). Therefore, this is not a free-form prompt, but a filled template with several dynamic fields, where the LLM describes only "why the content is non-infringing" for the specific case. This reduces legal risk.

Google Counter Notice submission. Without an official API — only browser automation. Playwright with retry logic on reCAPTCHA (2Captcha as a fallback, but I consider it optional due to moral factors + cost). Or semi-automation: the bot prepares a filled form as a draft URL for a person for the final click. I would recommend the second option — a fully automatic submission of the Counter Notice without human review is legally slippery, as the notice includes your signature and testimony under penalty of perjury. Human-in-the-loop at the final step protects the company.

Storage. PostgreSQL with a complaints table (lumen_report_id, claimant, url, our_domain, received_at, verification_status, appeal_text, counter_notice_status, submitted_at, google_response). Logs in a separate append-only table with a complete audit trail of who did what and when, plus export to CSV/Sheets for legal reporting.

Architecture. FastAPI as a wrapper, Celery or APScheduler for cron processing of incoming emails every N minutes, a separate worker for Playwright tasks (as they are heavy and should not... Expand

Budget: 1000 UAH Deadline: 1 day

Hello!

I have sufficient experience in browser automation, AI API integrations, email flows, Playwright/Puppeteer, form submission automation, and building centralized processing systems with logging and statuses. I have also worked with AI-generated workflows, Outlook automation, and moderation/appeal flow processing systems.

I suggest we discuss the details in private messages: the scope of the flow, the number of accounts, the current process, requirements for AI generation, and the level of automation needed.

Budget: 20000 UAH Deadline: 21 days

Yelyzaveto, the categories of Python and Web Programming are chosen 100% correctly. The task fully lies within the realm of system automation (Backend scripts, working with APIs, and parsing/emulating user actions in the browser), where Python is the best tool due to its ecosystem of libraries for scraping and process automation.

I can develop a reliable, stable script for complete automation of this flow: from logging into Outlook and extracting complaints from the Lumen Database to AI-generated appeals and sending counter notices in Google. I have extensive experience in developing custom automations and parsing scripts for Websention, so I will incorporate proper error handling, proxy management (to avoid CAPTCHA from Google/Lumen), and isolated logging of each step into the architecture.

Budget: 8000 UAH Deadline: 1 day

Good day. I am ready to complete this project as I have extensive experience in app development.

Budget: 2000 UAH Deadline: 3 days

Hello! I have carefully studied your project and am ready to start its implementation. Let's discuss the details for the best execution.

Budget: 20000 UAH Deadline: 3 days

Good day. I can implement this process turnkey.

I have an understanding of the entire chain: Outlook verification flow, browser automation, extracting URLs of our domains, generating appeals through AI API, submitting counter notices, saving IDs, statuses, and logs in a single repository.

I will do it carefully, so that it is not just a set of scripts, but a proper working process with centralized storage.

Estimated time is 10-14 days.
Regarding the cost, it is $450.

I can immediately propose a structure for implementation and what is best to start with.

Budget: 1000 UAH Deadline: 1 day

Hello! Ready to collaborate. I have experience working with Lumen Database complaints and Google Counter. I offer a loyal price and quality work. Write to me)

Budget: 27000 UAH Deadline: 10 days

Welcome! We are a team of developers with 4 years of experience in process automation, parsing, and database optimization. Our main stack includes PHP, JavaScript, and TypeScript, allowing us to create reliable and flexible solutions for processing large amounts of information. We will set up an automatic complaint processing flow on Lumen, optimize database queries, and ensure a high level of cybersecurity to protect user data. The work will be done turnkey with strict adherence to deadlines. Let's discuss the logic of statuses and processing in the chat.

Budget: 10000 UAH Deadline: 1 day

Hello!

We are dZENcode – a full-cycle digital solutions development company: from design and programming to integrations and post-release support. We take on projects from scratch and also engage in the refinement of existing solutions.

We can automate this process for you with status and log storage.

1. What is already in the current flow and where is refinement needed?
2. Is a fully automatic sending required or a semi-automatic step?

You can find detailed information about our services and rates on our website: Freelancehunt
Take a look – after that we can discuss the details and agree on the next step.

⚠️ After clarifying all the details, we will determine the scope, suitable format of cooperation: task-based, outsourcing, or outstaffing, and the final cost.

With us, projects are guaranteed to reach release:
• 10+ years providing IT services;
• 90+ in-house specialists;
• 250+ public reviews since 2015;
• We support the product under SLA after launch;
• We work under NDA and a contract with the company! Expand

Budget: 12345 UAH Deadline: 3 days

Hello! Are you already using any tool for Outlook verification, or does it need to be implemented from scratch?

I will clarify the details regarding the timeline and budget in personal correspondence.

I propose to execute this project as follows:
1. I will set up automatic Outlook verification to obtain full URLs.
2. I will implement browser automation to extract and filter your domains.
3. I will integrate an AI API for generating text for outreach and automate the submission of notifications to Google with status logging and ID preservation.

Thank you for considering my proposal. I look forward to the opportunity to collaborate with you!