This project automates TikTok funnel interactions, helping service-based brands turn content views into leads without the constant manual grind. It streamlines video-triggered actions, engagement workflows, and guided conversions using a dedicated automation bot.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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The workflow here replaces the repetitive, time-intensive steps often tied to nurturing TikTok audiences into genuine leads. Instead of manually responding, tracking actions, or guiding users through an offer path, the automation handles everything reliably. It frees creators to focus on producing videos while ensuring viewers move smoothly through a funnel designed for conversions.
- It keeps engagement consistent even when posting frequency grows.
- It moves users from TikTok attention to conversion paths automatically.
- It reduces drop-off by responding instantly when viewers interact.
- It supports repurposed or boosted content by capturing every new lead entry point.
- It ensures scalable funnel operations without extra hands.
| Feature | Description |
|---|---|
| Automated Funnel Triggering | Activates workflows when users interact with content, comments, or profiles. |
| Lead Capture Bot | Collects essential details and stores them for downstream funnel actions. |
| Smart Content Interaction | Detects post activity to trigger follow-ups or engagement paths. |
| Error-Resistant Execution | Retries failed browser actions and stabilizes interaction flows. |
| Performance Scaling | Supports multiple content workflows without slowing down. |
| Activity Logging | Tracks every funnel step for transparency and optimization. |
| Configurable Funnel Steps | Allows custom question paths, CTAs, and follow-up actions. |
| API/Integration Ready | Can plug into CRM, email tools, or form endpoints. |
| Edge-Case Handling | Handles low-visibility posts, unusual usernames, and missing elements. |
| Browser Automation Layer | Uses stable browser automation for TikTok’s interface. |
| Content Monitoring | Checks post status, boosts, and performance hints automatically. |
| ... | ... |
| Step | Description |
|---|---|
| Input or Trigger | Begins when new content goes live, post engagement is detected, or a scheduled workflow starts. |
| Core Logic | Validates interaction type, extracts context, and runs the funnel engine that handles guided responses and conversions. |
| Output or Action | Records leads, routes users to the next funnel stage, updates logs, or pushes data into connected tools. |
| Other Functionalities | Includes retry sequences, DOM stability checks, action delays, and structured logs. |
| Safety Controls | Applies rate limiting, human-like timing, randomized behavior, and cooldown periods. |
| ... | ... |
| Component | Description |
|---|---|
| Language | Python |
| Framework | Playwright |
| Tools | Postman, browser profiler utilities |
| Infrastructure | Docker, GitHub Actions |
tiktok-funnel-bot-automation/
├── src/
│ ├── main.py
│ ├── automation/
│ │ ├── funnel_engine.py
│ │ ├── tiktok_interactions.py
│ │ ├── content_monitor.py
│ │ └── utils/
│ │ ├── logger.py
│ │ ├── browser_controller.py
│ │ └── config_loader.py
├── config/
│ ├── settings.yaml
│ ├── credentials.env
├── logs/
│ └── activity.log
├── output/
│ ├── leads.json
│ └── funnel_report.csv
├── tests/
│ └── test_funnel_logic.py
├── requirements.txt
└── README.md
- Service brands use it to guide TikTok viewers into structured funnels so they can increase qualified leads.
- Social teams use it to automate engagement paths so they can focus on creative production.
- Marketers use it to repurpose content into automated conversion triggers so they can scale reach without extra effort.
- Agencies use it to manage multiple funnels for clients so they can deliver consistent engagement across profiles.
Does it work with boosted posts? Yes. The system detects activity on boosted or organic posts and triggers funnel steps accordingly.
Can funnel steps be customized? Absolutely. You can adjust messages, CTA sequences, delays, and lead-capture logic in the configuration files.
Does it support integrations with external tools? It can connect to any API endpoint, allowing exports to CRMs, spreadsheets, or email tools.
Is browser automation stable over time? The bot includes DOM wait strategies, retries, and fallback sequences to maintain reliability even when layouts shift slightly.
Execution Speed: Handles 30–45 engagement-triggered actions per minute depending on browser load.
Success Rate: Averages 92–94% completion across workflows with automatic retries.
Scalability: Supports 10–50 concurrent funnel sessions using multiple containerized workers.
Resource Efficiency: Typical worker uses 20–35% CPU and 300–450MB RAM during peak interaction cycles.
Error Handling: Implements exponential backoff on failures, detailed logging, and automated recovery for disrupted sessions.
