Meta API Automated Messaging System Comment to DM

@Web1devloper

With great enthusiasm, I express my interest in this project. Having delved into full-stack development and API design for over 8 years, your project aligns perfectly with my skillset – especially concerning Meta, Facebook, Instagram, Node.js/Python, and a PostgreSQL/MySQL back-end. In similar past work, I've implemented OAuth 2.0 authentication, created robust REST APIs, and developed scalable systems akin to the automated messaging system you seek. As a matter of fact, my proficiency with Meta/Facebook Graph API, the Instagram Graph API, and Meta Webhooks is proven and solid. Choosing me means working with someone meticulous about secure token management and strict adherence to platform policies. I grasp fully the need for proper Meta integration and handling of permissions/messaging windows. Overlooking any aspect can be detrimental but with me onboard guarantee an error-free implementation for SMS/Messenger private replies

@Prutheus

Comment-to-DM is a well-defined build, and almost all of the risk sits in one place: Meta's permissions and app review. The code is a few days of work; getting the instagram_manage_messages and page permissions approved is what determines your launch date. That shapes how I would build it: - Webhooks for comment events rather than polling — polling burns rate limit and adds delay, and Meta's webhook delivery is reliable when configured properly. - Post-to-link mapping keyed on Post ID and Instagram Media ID exactly as you described, so a keyword means different things on different posts. - Send window handled correctly. Instagram enforces a limited window for messaging a user after their interaction, and outside it your message silently fails. Handling that properly — and telling the user when it happens — is what separates a working platform from one that appears to work. - Deduplication so one comment triggers one DM, even when Meta redelivers the webhook. - Full comment and delivery tracking, with per-user OAuth connection of pages and accounts. Proof: API integrations and automation in production, including OAuth flows and webhook-driven systems. Question: do you already have a Meta app with the required permissions approved, or is that part of the work? If it is not started, that is the long pole and worth beginning immediately. Martin

@vkrahu

Hi, I understand you want to build a SaaS platform that connects Facebook Pages and Instagram Professional accounts, maps a unique link to each post/media ID, and automatically sends the correct link when a configured keyword is detected in comments. I have 14+ years of experience with Node.js, PHP/Laravel, REST APIs, PostgreSQL/MySQL, OAuth, webhooks, and SaaS platforms. I can build the system with a scalable event-driven architecture where Meta Webhooks identify the exact Facebook Post ID or Instagram Media ID, retrieve the corresponding campaign/link configuration, and trigger the appropriate Messenger or Instagram DM response. The platform can include user registration, secure Meta OAuth, Facebook/Instagram connection management, post-level link mapping, keyword configuration, automation controls, activity logs, analytics, and a comprehensive admin dashboard. I'll also implement secure token storage, webhook verification, retry/error handling, background processing, and proper handling of Meta permissions and messaging policies. For scalability, I would recommend Node.js + PostgreSQL + Redis/queue workers, with Meta webhook events processed asynchronously so high comment volumes across thousands of posts don't block webhook responses or overload the API. Let's discuss your Meta app setup and required permissions so we can define the architecture and development milestones. Thanks, Rahul

@ashinnd84

Hi, Your project "Meta API Automated Messaging System Comment to DM" is a good fit -- Python backend and automation work is my main line of work. How I would run it: 1. Confirm the inputs, outputs and edge cases in writing first, so there is no ambiguity about what the script or service has to handle. 2. Build it in small reviewable pieces with tests around the parts that touch real data, rather than one large drop at the end. 3. Deliver clean, documented code with a requirements file and setup notes, so you or another developer can run and extend it without me. Matching your listed skills: API Development, C# Programming, Facebook API, Instagram API, MySQL, Node.js, OAuth, PHP, Python, Software Architecture. My bid is ₹10625, within your ₹1500-12500 range. Let's connect to discuss this further -- happy to walk you through how I would structure it and answer anything you want covered first. Thanks for your time. Best regards, Ashish & Team

@shayankhan333

Hi, I can build your Meta API comment-to-DM platform so each post triggers the correct link via Messenger or Instagram DM, fully automated through webhooks. You will receive: User dashboard with post and keyword management Meta webhook-based comment detection and DM sending Admin panel with analytics and activity logs I understand reliable post-ID-to-link mapping is the core of this system. I've built SaaS modules on similar stacks and can deliver a working version in about 3-4 weeks. 1) Have you already created a Meta App and completed App Review for the required permissions? Best regards, Shayan

@sarimshoaib1425

100% doable. Built an n8n automation for a client that ran his entire lead flow end to end. I'd set this up with Meta webhooks catching comment events in real time, mapping each Post/Media ID to its linked offer in the database, and firing the DM through Messenger/Instagram Messaging API automatically. Built on Node.js with OAuth handled securely and token refresh built in, so it scales cleanly as you add more pages and posts. Can have the core comment-to-DM flow working and testable within the first stretch, then layer in the dashboard and analytics after. Feel free to DM me for case studies. Or check the projects on my profile. Let's do it.

@alluankit01

Hi, I can build your Meta API-based Comment-to-DM automation platform for Facebook and Instagram, with user login, account connection, post-wise link mapping, keyword detection, webhook processing, automated DM replies, activity logs, and admin analytics. The best solution is to first set up secure Meta OAuth, connect Facebook Pages and Instagram Professional accounts, fetch posts/media, and allow users to assign a unique link and keyword to each post. Then I’ll build the webhook flow so when someone comments “LINK”, the system identifies the exact Post ID/Media ID, fetches the correct mapped link, and sends the reply through Messenger/Instagram Messaging API. I’m comfortable with Meta Graph API, Facebook API, Instagram API, Webhooks, Messenger API, Instagram Messaging API, OAuth 2.0, Node.js/Python, MySQL/PostgreSQL, SaaS dashboards, secure token handling, logs, and scalable event processing. Deliverables will include: * User registration/login * Facebook/Instagram connection * Post/media management * Keyword and link mapping * Meta webhook integration * Comment-to-DM automation * Campaign ON/OFF control * Activity logs * Basic analytics * Admin dashboard * Secure OAuth/token handling * Setup documentation I’ll focus on a compliant, stable, and scalable system using official Meta APIs, with proper handling of permissions, messaging rules, and App Review requirements. Best regards Ankit

@hoangvanp

Hello, Creating a seamless user experience is crucial for the success of your Meta API Automated Messaging System. By allowing users to easily register, connect their social media accounts, and set up automated messaging based on specific keywords, we can ensure a user-friendly platform. My approach would involve reviewing the existing architecture to prioritize scalability and security. I would focus on implementing a reliable REST API using Node.js/Python and a secure database like PostgreSQL/MySQL. With experience in Meta/Facebook Graph API, Instagram Graph API, and OAuth 2.0, I can efficiently handle the integration and automation processes. A few questions: - How do you envision user engagement tracking within the platform? - Have you encountered any specific challenges with Meta App Review in the past? - What are the key performance indicators for the success of this automated messaging system? Best regards,

@thiagofoz87

Your project requires more than a simple chatbot integration. The critical part is building a reliable event-processing architecture that correctly maps each comment to the exact Facebook Post ID or Instagram Media ID and guarantees the correct DM response at scale, even when the same keyword is reused across thousands of posts. I would structure this as a SaaS platform with: - Secure Meta OAuth flow for Facebook Pages and Instagram Professional accounts - Webhook-based comment ingestion using Meta Webhooks - Post/media-level keyword and link mapping stored in PostgreSQL - Async processing pipeline for comment detection, validation, DM delivery, retries and activity tracking - Admin and user dashboards with automation controls, analytics and logs - Token lifecycle management and permission handling aligned with Meta policies For the backend, I recommend Node.js or Python with a modular API architecture and queue-based processing to avoid webhook bottlenecks and messaging failures during traffic spikes. The system can also be prepared for future multi-tenant scaling and campaign automation. I have experience building high-availability backend systems, API integrations, authentication flows and scalable event-driven architectures, which is essential for a platform heavily dependent on Meta APIs and webhook reliability. I suggest starting with an MVP covering authentication, Meta integrations, webhook automation, post-link mapping and DM delivery, then expanding analytics and advanced admin features in a second phase. This reduces delivery risk and accelerates validation.

@Cruz1217

Handling thousands of keyword‑triggered replies can overload a single webhook listener, so I’ll set up a queue that batches comment events before processing. I’ll connect each user’s Facebook Page and Instagram Professional account via Meta OAuth and store post‑ID to link mappings in PostgreSQL. Separate workers will fetch the right URL and push it through Messenger and Instagram DM APIs. A common mistake is relying on the comment webhook alone, which can miss replies if the page’s messaging window is closed. By checking the page’s messaging policy and adding a retry loop, the automation will reliably deliver the link every time. The dashboard will log each comment, the fetched link, and any delivery failures in real time.

@aakaashberi

The platform itself is straightforward. What decides whether it survives is Meta's rules, so let me be direct about them. Comment-to-DM runs on the Private Replies API, and you get exactly one private reply per comment, sent within seven days of that comment. After that you are in the standard messaging window and need a valid reason to message again. Anything built to send more than that gets the app restricted, which is how most tools in this space die. You will also need App Review for page and Instagram messaging permissions plus Business verification before it works on anyone's account but your own. That review is the real launch blocker, not the code, so it is worth starting the moment the build begins rather than after. Build: auth, Facebook Login with page and IG connection, per-post keyword rules, link delivery, a webhook listener for comment events, and delivery logs. Meta and WhatsApp API automation is my main line of work.

@EnGier

I'm confident that I can create the robust, intelligent system you need for your project. From building secure OAuth implementations to handling Meta permissions, messaging windows and platform policies with ease, I have all the technical skills necessary to take on this task effectively and efficiently. What sets me apart from the rest is my approach to solving business problems through technology – my AGaaS model which can specially be leveraged for your project entails building an entire team of specialized AI agents to seamlessly navigate every stage of the customer journey. This means - whether it's detecting comments like "LINK" or pulling relevant information from a vast database of posts and linking them correctly, there's a dedicated agent for each of these functions ensuring nothing slips through the cracks. Let's start a conversation and put a plan into action!

@Riteshn48

I’ve worked on SaaS platforms, API integrations, dashboards, and automated workflows, and I understand the key requirement here: the same keyword should work across thousands of posts while the system always identifies the exact Facebook Post ID / Instagram Media ID and sends the correct mapped link. I have 4 years of full-stack experience and 60+ completed projects. I can build this using Node.js, React, PostgreSQL, Meta Graph API, OAuth 2.0, and Meta Webhooks. The core flow will be: Comment → Webhook → Post/Media ID → Keyword Match → Fetch Mapped Link → Send DM → Activity Log I can also handle Facebook/Instagram OAuth, post-wise link management, automation ON/OFF, dashboards, analytics, secure token management, and scalable webhook processing. I’d be happy to share relevant API/SaaS work and discuss the Meta integration and App Review requirements. Regards, RITESH

@ibtemirlan

I propose a bounded technical-validation milestone rather than the full platform within this budget. Deliverables: 1. Review the required Facebook and Instagram comment-to-DM flows against current Meta permissions and messaging constraints. 2. Define OAuth, webhook, token-storage and Post/Media ID mapping architecture. 3. Prepare the PostgreSQL data model and REST/webhook contract. 4. Produce an implementation plan with MVP boundaries, permission checklist, failure/retry cases and realistic effort estimate. Scope: documentation and technical design only; no production dashboard, deployment, Meta App Review submission, or guarantee of approval. Delivery: up to 5 hours, fixed 10,000 RUB equivalent. Do you already have a Meta Business account and developer app? Which permissions or App Review approvals, if any, are currently available?

@Touseef09

As an experienced Full Stack Developer, I am confident in my ability to create a robust and efficient automated messaging system for your platform. Over the years, I have honed my skills in API development, Python, MySQL, and Node.js, all of which are integral to this project. I have developed numerous web applications and REST APIs that required handling OAuth 2.0 authentication, scalable backend systems, and secure token management - all these skills will be invaluable in integrating the Meta platform with Facebook and Instagram. Moreover, I am well-versed in working with Facebook Graph API, Instagram Graph API, Meta Webhooks, Messenger API, and Instagram Messaging API. My practical experience managing Meta App Reviews, developing Facebook Page integrations, and integrating Instagram Professional Accounts strengthens my profile’s fit for your project. My commitment to delivering clean code, fast communication, timely delivery, mobile-responsive designs, and long-term support further assures that you can rely on me to complete this project accurately and satisfactorily. I am excited about the potential scope of this project as it aligns perfectly with my expertise to develop scalable solutions through Node.js & similar backends. Let's collaborate to materialize your vision!

@CliveMSoftware

I've built several Meta API integrations and webhook-based automation systems. I'll architect this as a scalable SaaS with Node.js backend, PostgreSQL for post-link mappings, and secure OAuth token management. The core workflow will handle Meta webhooks to detect comments, match post IDs to links, and trigger Messenger/Instagram DM sends via their respective APIs. I'll build a clean user dashboard for connecting accounts, managing posts and keywords, plus an admin panel with complete activity tracking and analytics. All messaging windows and Meta permissions will be properly handled to pass app review.

@petropankovdev

Your hard part is not the keyword — it is that one keyword ("LINK") has to resolve to a different URL on every post. So the system cannot match on comment text alone: the webhook event carries the Post ID / Instagram Media ID, and that ID is the lookup key against your post-to-link table. The keyword only decides whether to fire; the ID decides what gets sent. Built that way, "same keyword across thousands of posts" is just a unique index, and it stays correct at any volume. How I would build phase 1: - Meta OAuth connect for a Facebook Page and an Instagram Professional account, tokens stored encrypted, refresh handled. - One webhook receiver subscribed to comment events on both platforms, signature-verified, writing every event to a queue before it is processed — a burst of comments never drops one, and retries stay idempotent. - Post/Media-ID to link mapping in Postgres, with automation ON/OFF per post. - Private reply / DM send on match, with the send result and any Meta error code written to an activity log you can actually read. One thing worth saying before you pick anyone: the code is the smaller risk here. Sending a DM to someone who is not an app tester needs App Review plus Business Verification on the messaging permissions, and Meta enforces its own rules on private replies to comments and on messaging windows. That approval runs against your business, not mine, and it is the item most likely to move your launch date. I build against it from day one — permissions scoped correctly, clean handling when a window has closed — and hand you the material for the review submission. Anyone who does not raise this before starting will find it at the demo. What this bid covers: the engine above — connect, mapping, comment detection, correct-link DM, activity log, and a minimal dashboard to manage posts and links. The full admin panel, campaign management and analytics I would scope as a second phase, once you have watched the engine fire on your own posts. Background: one completed project on this account, rated 5 out of 5, delivered on time and on budget. Outside the platform, 8 merged pull requests into third-party open-source projects, mostly a 177-star Go security tool, each reviewed and accepted by the maintainers. I have also delivered a production webhook integration that binds live event data onto records in an external system — the same event-in, look-up, act-on-it shape as this one. Two questions so we can start fast: is the Instagram account already linked to the Facebook Page, and have you started Business Verification on a Meta app yet? Petro Pankov, BotCraft Group

@manishy0812

Hi There, I can help you build the Meta API automated messaging system that triggers a DM when a user comments on a post. I’m a Software Engineer with experience in C#, .NET, REST APIs, Azure, API integrations, and AI-powered applications. I can develop the backend logic, integrate the required Meta APIs/webhooks, handle authentication and events, and make the system reliable and maintainable. I can help with: Meta Graph API integration Comment-to-DM automation Webhook/event handling Access tokens and authentication Automated message workflows API error handling and logging .NET/C# backend implementation I’m comfortable working with existing code or building the solution from scratch. I can also help troubleshoot Meta API permissions and webhook configuration if required. I’d be happy to discuss the exact workflow and start working on it. Regards, Manish

@ozturkkilic

I can build the first production-ready MVP around Meta's official APIs only: secure OAuth for Facebook Pages and Instagram Professional accounts, webhook signature validation, post/media-to-link mapping, keyword matching, queued private replies, idempotency to prevent duplicate DMs, token refresh handling and searchable activity/failure logs. The dashboard will cover connections, campaigns, automation toggles and basic delivery analytics. I will document the REST endpoints, deployment and Meta configuration, and test with approved test users/pages before hand-off. No scraping or unsolicited bulk messaging will be used. Meta Business/App Review, required permissions, verification, hosting and message/API costs are client-provided; Meta approval time is outside the 14-day development estimate.