Custom IG Bot: Scraping, Age Check, DM Chatbot, Booking

We are seeking a developer or small team to build a fully automated lead generation system for Instagram. The system will identify users based on video content and profile data, engage them with human-style comments and replies, qualify them in Instagram DMs, and direct suitable leads to book a consultation via a calendar link.

This project requires experience with automation, browser scripting, GPT-based NLP, and API integration. The automation will replace a manual outreach process and must perform reliably at scale.

Scope of Work:

The full pipeline includes the following phases:

1. Lead Discovery

Search Instagram using specific hashtags

Scrape video posts, including: post ID, username, caption, and video URL

Tools: Puppeteer, Apify, PhantomBuster, or Instagram Graph API (if accessible)

2. Age Estimation

Extract 3–4 frames from each video

Run age detection on the frames to exclude users under a defined threshold

Tools: OpenCV, Face++, DeepFace, AWS Rekognition

3. Profile Analysis & Suitability Scoring

Scrape profile bio and recent post captions

Use NLP to detect intent, keywords, and language

Score suitability based on rule-based logic

Tools: GPT-4 API or similar, browser scraping

4. Comment Posting

Post a personalised comment using one of 5–10 prewritten variations

Include user’s name if detectable

Tools: Meta Graph API or Puppeteer

5. Threaded Replies

Monitor for replies to the initial comment

Generate contextual responses and post them as replies (not new comments)

Tools: GPT-4, Puppeteer, Meta API if possible

6. Off-Platform Interest Signal (Optional)

Visit a link shared by the user (e.g. portfolio, profile)

Interact with the content and reference it in comments or DMs

Tools: Puppeteer or relevant external API

7. Instagram DM Chatbot

Respond to inbound DMs

Ask 2–3 pre-defined qualifying questions

Use GPT or structured logic to respond dynamically

Share booking link when user is warm

Tools: GPT-4, ManyChat, MobileMonkey, or custom DM handler

8. Booking & CRM Integration

Detect when user books a consultation via a calendar link (e.g. Calendly)

Push contact info into CRM

End automation for that user

Tools: Calendly API, Zapier or Make.com, CRM integration (HubSpot or similar)

Requirements:

All engagement must feel natural and human

Comment replies must be posted in-thread

Duplicate contact with the same user must be avoided

AI logic must be configurable and editable

Logs or dashboard to monitor activity is a bonus

Deliverables:

Functional automation system across all 8 phases

Script library for comments and messages

Age verification module

NLP-based profile analysis and scoring

Booking link automation and CRM handoff

Full technical documentation

Optional: lightweight dashboard for monitoring

Timeline:
We are aiming for a working MVP within 4–6 weeks. Phased delivery is acceptable.

To Apply:
Please include:

A short overview of your relevant experience

Proposed tech stack and approach

Estimated time and cost

Any questions or clarifications

We’re open to experienced individuals or teams. Preference will be given to those with demonstrable experience in automation, AI, and Instagram workflows.