• Projects -
  • Rating -
  • Rating 617

Budget: 9000 UAH Deadline: 10 days

Mykyta, I see that this is not just an integration with the Meta API, but also includes limit control, batching, asynchronous statistics collection, and infrastructure protection against bans. I have worked with FastAPI, Celery, Redis, PostgreSQL, and proxy routing, so I can build a turnkey backend and dashboards on Vue/React. I understand marketing APIs, tokens, payload headers, and arbitration logic. I can describe similar cases and provide an assessment by stages.

AI Email Generator MVP — SaaS web application for email generation
  • Projects 15
  • Rating 5.0
  • Rating 7 744

Budget: 27000 UAH Deadline: 30 days

I can take on the implementation of a system using FastAPI with the Meta Marketing API: authorization and token management, batch asynchronous statistics collection, limit control, monitoring of account statuses, Celery/Redis, database, client dashboard, and administrative panel.

Do I understand correctly that before development, it is important for you to check whether the described architecture can handle the required number of users, advertising accounts, and volume of statistics without conflicts regarding limits and cascading effects of problematic connections on the entire system?

The budget, timelines, and phased implementation format will be discussed in private correspondence after reviewing the technical assignment, database schema, load balancer logic, interface requirements, expected load, and acceptance criteria.

Similar project: Marketing Audit + Fractional Marketing Manager
Meta Ads Report Automator: AI-ready analytics without the routine.
  • Projects 118
  • Rating 5.0
  • Rating 10 388

Budget: 9000 UAH Deadline: 5 days

Hello.

I am a NodeJS developer. I am ready to take on the task. Write to me, and we will discuss.

  • Projects -
  • Rating -
  • Rating 284

Budget: 27000 UAH Deadline: 7 days

Hello! To be honest about the Meta API: I am not an arbitrage specialist, but I have a system in production that is architecturally identical to your core — a pool of accounts, each with its own SOCKS5 proxy with a strict binding, continuous status monitoring, and automatic unbinding/cooldown of the account at the moment of a ban, plus load routing between shards according to specified proportions. Only I have Telegram user bots, while you have Facebook ad accounts; the logic for protecting the infrastructure from blocks is the same.

Your stack is my main one: Python, FastAPI, Celery, Redis, PostgreSQL, front-end on Vue/React from ready-made UI kits.

What I can confidently close right now: asynchronous batch parser for statistics, module for automatic token revocation based on account status (

  • Projects -
  • Rating -
  • Rating 256

Budget: 10000 UAH Deadline: 4 days

Hello!

I have reviewed the task description for creating a SaaS analytics service. The project looks ambitious and technological; I fully understand your pain points, especially regarding working with strict limits of the Facebook API and protecting the infrastructure from bans (gray vertical/media buying).

I have commercial experience in backend development using Python, and I am well-versed in asynchronous programming (Asyncio / FastAPI / Celery), which is critically important for parallel parsing of large volumes of data without performance degradation.

  • Projects 32
  • Rating 5.0
  • Rating 1 815

Budget: 27000 UAH Deadline: 27 days

Good day, I have been working in web programming for over 9 years. I work with REST APIs, frameworks, and CMS such as Django, Laravel, Yii2, WP, OpenCart, CodeIgniter, etc. I am ready to complete the task. Reviews: Freelancehunt

  • Projects -
  • Rating -
  • Rating 318

Budget: 2000 UAH Deadline: 7 days

Hello, Nikita! To bypass Meta's limits, it's important to parse data in batches through Request Pool and monitor the x-business-use-case-usage headers. I have created similar analytics services on FastAPI with proxy rotation. How do you plan to distribute the load on tokens: by API call limits or by data volume? I'm ready to discuss the backend architecture on a call.

  • Projects 47
  • Rating 5.0
  • Rating 12 213

Budget: 10000 UAH Deadline: 1 day

Hello, I have extensive experience with Python.
Feel free to message me privately.
I will be happy to help you!

  • Projects 20
  • Rating 5.0
  • Rating 21 331

Budget: 9000 UAH Deadline: 5 days

Good day! I will complete it turnkey. I have experience in implementing such projects. I guarantee the completed work. The exact cost will be calculated after discussing all the details. Shall we discuss?

  • Projects -
  • Rating -
  • Rating 282

Budget: 1000 UAH Deadline: 1 day

Hello! Mykyta Dwh.
I have extensive experience working with the Meta Graph and Marketing APIs, including handling rate limiting, token rotation, and parsing advertising account statistics in batch requests.
For your project, I would create a backend using FastAPI, Celery, and Redis for asynchronous tasks, using PostgreSQL for structured data and ClickHouse for storing large volumes of statistics.
I would implement an automatic unblocking module to cancel banned tokens within 60 seconds, set up SOCKS5 tunneling with static IP binding for each user, and integrate your intelligent routing algorithm into multiple Facebook applications.
For the frontend, I would develop a React.js dashboard with pivot tables and an admin panel for managing limits, app bindings, and proxy server pools.
I cannot share public links to projects due to non-disclosure agreements, but I can describe the architecture and solutions I have created for similar high-volume arbitrage systems during a private conversation.
I am ready to review your technical specification and provide a more detailed analysis within 24 hours.

  • Projects 10
  • Rating 5.0
  • Rating 1 756

Budget: 5000 UAH Deadline: 2 days

Hello. I have carefully studied the description of your B2B service project for end-to-end analytics, fully understanding the critical importance of virtuoso work with the Meta API, limit management, and protecting the infrastructure from blocks. To address these tasks, I will develop a highly reliable asynchronous backend using Python FastAPI with Celery/Redis, which will ensure batch processing of requests, proactive monitoring of ad account statuses, and automatic token revocation within 60 seconds. The tunneling infrastructure via SOCKS5 will be implemented with a strict binding of the token to a static IP and intelligent routing among our pool of Meta applications, significantly reducing the risks of sanctions. My experience in creating similar systems and having optimized templates for integration with the Meta Graph API and proxy handling mechanisms will allow for efficient and rapid execution of this project. I suggest discussing all implementation details, final budget, and timelines in private messages.

  • Projects 6
  • Rating 3.9
  • Rating 788

Budget: 27000 UAH Deadline: 45 days

Mikito, I see that a critical moment for your SaaS is not just connecting to the Meta API, but rather building a flexible layer to bypass limits and ensure stable operation with TikToks and gray accounts. Choosing the right message queue and configuring asynchronous batch requests will directly impact the cost of system maintenance and the stability of parsing.

I will take on the development of the load balancer architecture and the automation logic for monitoring the status of accounts. I will start by setting up pipelines for batch data processing so that the system is ready for scaling immediately after launch.

What specific database have you chosen for storing historical metrics, considering the need for quick aggregation of statistics in dashboards?

The list does not show proposals concealed by the client or freelancer with a Plus profile, as well as proposals violating rules