Rapid Script Generation: How to Use Comment Keywords to Create 10 Short Video Templates

2025-05-16

Introduction

When content creators, short video marketers, or brand owners struggle to find the right story for a product, the best inspiration often lies in what users have already said.

This article introduces an efficient and practical content creation method:
Generating short video script templates based on user comment keywords, helping you quickly identify which angles resonate emotionally and which scenarios drive conversions.

This is one of the practical scenarios where LuckData’s multi-platform comment extraction and keyword analysis API can be extremely valuable.

1. Common Pain Points in Content Creation

Content teams and individual creators often face the following issues:

No inspiration: Not sure how to talk about the product? Feature introductions feel dry and boring.
No audience response: The video looks great but gets no likes or comments.
Unclear user concerns: You're promoting "portability," but the audience cares about "battery life."

What’s the solution?

Listen to what users are saying before deciding what you want to say.

User comments are a goldmine for insights. If you capture the right keywords, you capture the audience’s attention.

2. Extracting Comment Keywords: How to Find What Users Care About

LuckData offers a comment scraping API that can quickly gather comments from platforms like Douyin (TikTok China), TikTok, Walmart, Lazada, and others. Developers and content teams can use the API to extract comment data and conduct:

Keyword frequency analysis
Sentiment analysis (positive / negative / neutral)
Topic categorization and scene tagging

Sample API (Douyin video comment extraction):

GET https://luckdata.io/api/douyin-API/get_pa29?type=items,cnt,trends,author&item_id=7451571619450883355

Or use the TikTok API to fetch comment replies:

import requests
headers = {
'X-Luckdata-Api-Key': 'your_luckdata_key'
}
response = requests.get(
'https://luckdata.io/api/tiktok-api/gqJ8UsGWZJ2p?count=10&cursor=0&video_id=7093219391759764782&comment_id=7093219663211053829',
headers=headers,
)
print(response.json())

Sample returned comments:

{ "comments": [ "This is perfect for dorm rooms!", "The wind power is surprisingly strong", "Runs quietly, great for office use", "Good value for money, highly recommend", "The design looks really sleek" ] }

After extracting keywords:

Keyword	Sentiment	Tag
Dorm room	Positive	Usage scene
Strong wind	Positive	Product power
Quiet	Positive	Feature description
Value for money	Positive	Selling point
Design	Positive	Aesthetic appeal

These insights can be directly used as the foundation for content scripting.

3. Script Template Generation (10 Types)

Based on the extracted keywords and typical short video formats, you can quickly generate diverse content scripts:

1. Relatable Scene

“Sweating through your dorm life? I found a silent fan that actually works!”

2. Problem-Solution

“Office too hot and noisy? What you need is this ‘silent storm’.”

3. Authentic Review

“I tested this fan—3 meters away and still feel the breeze. Unreal!”

4. Value-for-Money Pitch

“Under $100, but still delivers strong airflow and aesthetic looks? I’m sold.”

5. Comparison-Based

“Tried 3 fans—only this one balanced power, silence, and good looks.”

6. Aesthetic-Driven

“Calling all design lovers—this fan is a desktop masterpiece.”

7. Lifestyle Framing

“It’s not just a fan—it’s an upgrade to your quality of life.”

8. Expectation Twist

“Didn’t expect much—but once I turned it on, I couldn’t stop using it.”

9. Top-Rated Recommendation

“This fan made it to TikTok’s top 3—after testing, I see why.”

10. Comment-Inspired

“People said it’s powerful and quiet—I had to try it myself!”

These templates act as a scripting engine that enables fast, diverse content creation and testing.

4. What Comment Capabilities Does LuckData Offer?

Feature Module	Description
Comment Scraping	Extract authentic comments from videos or products
Keyword Extraction	Identify high-frequency terms and hot topics
Sentiment Analysis	Determine sentiment tendencies (positive/negative/neutral)
Multi-Platform Support	Supports Douyin, TikTok, Walmart, Lazada, and more
Data Export	Enables automated content generation with script tools ✅

These features empower content teams, MCN agencies, and creators to use data-driven methods for more targeted and effective storytelling.

5. Practical Workflow: From Keywords to Winning Scripts

Scrape comments from 3–5 competitor videos
Extract keywords + sentiment
Categorize pain points and product highlights
Select top 2 most impactful themes
Generate multiple scripts per theme
Test with small video batches for performance

This process helps reduce creative risk and improve success rates through data validation.

6. Conclusion

Inspiration shouldn't be left to chance—it should come from data.

Use LuckData to gather authentic user feedback and turn the “pain points” from the comment section into “selling points” in your videos.

Comments are the starting point of content. Data is the accelerator of creativity.