Introduction
In today's competitive social media landscape, brands and creators need data-driven strategies to maximize engagement. Using a Kwai API scraper for creator performance monitoring, businesses can track over 20,000 creators, understand audience reach, and measure content performance across diverse categories. From engagement metrics to content trends, this approach allows marketers, analysts, and creators to make informed decisions. By analyzing historical data from 2020 to 2025, it's possible to detect long-term trends, optimize campaigns, and benchmark creator performance. With Real Data API, you can automate data collection, eliminate manual tracking, and gain actionable insights from Kwai at scale.
Mobile App Data Insights
Starting in 2020, our pipeline began to scrape Kwai for influencer analytics using a Mobile App Scraping API to gather public data from creators' profiles, posts, and interactions. By 2025, over 20,000 creators had been analyzed across multiple content categories.
| Year | Creators Monitored | Posts Collected | Avg Engagement Rate (%) |
|---|---|---|---|
| 2020 | 3,500 | 25,000 | 4.2 |
| 2021 | 7,200 | 45,000 | 4.5 |
| 2022 | 11,000 | 75,000 | 4.8 |
| 2023 | 15,500 | 110,000 | 5.1 |
| 2024 | 18,000 | 150,000 | 5.3 |
| 2025 | 20,000 | 200,000 | 5.6 |
By scraping mobile app data, analysts can collect profile metadata, post timestamps, video views, likes, comments, shares, and follower counts. This data provides the foundation for deeper analysis, allowing brands to benchmark performance, identify trending content formats, and pinpoint highly engaging creators. Automated mobile scraping ensures real-time access, enabling proactive campaign adjustments and trend monitoring. The continuous growth in monitored creators between 2020 and 2025 highlights the increasing importance of influencer marketing and data-driven decision-making.
Engagement and Reach Metrics
Analyzing creator performance requires capturing accurate metrics. Using Extracting engagement and reach metrics from Kwai, we measure likes, comments, shares, video views, and follower growth for each creator.
| Year | Avg Likes per Post | Avg Shares per Post | Avg Comments per Post |
|---|---|---|---|
| 2020 | 320 | 45 | 28 |
| 2021 | 410 | 60 | 35 |
| 2022 | 520 | 75 | 42 |
| 2023 | 630 | 90 | 50 |
| 2024 | 710 | 105 | 57 |
| 2025 | 850 | 120 | 65 |
Tracking these metrics allows marketers to identify high-performing creators and viral content trends. By combining engagement metrics with reach data, businesses can quantify the actual impact of a campaign. Historical analysis shows engagement growth of ~165% in likes and ~167% in shares over five years, reflecting the increasing influence of social media. Automated extraction ensures that these metrics are updated frequently, helping brands allocate resources effectively and replicate successful content strategies.
Content Trends Analysis
To understand what resonates with audiences, Kwai content trends analysis via data scraping captures popular video formats, hashtags, and themes across the platform.
| Year | Top Content Category | Avg Views per Video | % of Total Posts |
|---|---|---|---|
| 2020 | Comedy | 12,000 | 22% |
| 2021 | DIY | 15,000 | 18% |
| 2022 | Dance | 18,500 | 20% |
| 2023 | Beauty & Fashion | 21,000 | 17% |
| 2024 | Food & Recipes | 24,500 | 15% |
| 2025 | Gaming | 28,000 | 20% |
By analyzing these trends, brands can align campaigns with high-performing categories, optimize content creation strategies, and identify emerging opportunities. The five-year dataset reveals shifts in audience preference, showing growth in gaming and food content while traditional formats like comedy maintain steady engagement. Data-driven insights enable marketers to forecast trends and craft content that resonates with the target audience, ensuring higher ROI on influencer campaigns.
Brand Performance Monitoring
Using Web Scraping Kwai engagement analytics for brands, companies can monitor competitor campaigns, track influencer partnerships, and analyze engagement performance across sectors.
| Year | Brands Tracked | Avg Engagement Rate | Avg Followers Gained |
|---|---|---|---|
| 2020 | 50 | 3.8% | 1,200 |
| 2021 | 75 | 4.2% | 1,450 |
| 2022 | 100 | 4.6% | 1,800 |
| 2023 | 130 | 5.0% | 2,100 |
| 2024 | 150 | 5.3% | 2,400 |
| 2025 | 175 | 5.6% | 2,750 |
This section highlights how brands can benefit from influencer monitoring to measure campaign success. Web scraping engagement analytics provides actionable intelligence, helping marketers adjust strategies, identify high-performing creators, and improve ROI. The consistent increase in engagement rates and follower gains demonstrates the growing effectiveness of influencer campaigns on Kwai, emphasizing the need for automated analytics at scale.
Content Performance Tracking
By implementing Kwai content performance tracking, we can measure likes, shares, views, and comment rates across creators, correlating them with content type, posting frequency, and hashtags.
| Year | Avg Video Views | Avg Likes | Avg Shares |
|---|---|---|---|
| 2020 | 10,000 | 320 | 45 |
| 2021 | 13,500 | 410 | 60 |
| 2022 | 16,800 | 520 | 75 |
| 2023 | 20,200 | 630 | 90 |
| 2024 | 23,500 | 710 | 105 |
| 2025 | 28,000 | 850 | 120 |
Content performance tracking enables brands and creators to replicate successful formats, optimize posting schedules, and identify trending content before it peaks. By examining historical trends from 2020–2025, analysts can forecast engagement potential for new campaigns. This structured approach reduces risk and maximizes campaign efficiency.
API Integration for Automation
Finally, our Kwai API allows seamless programmatic access to the dataset, enabling dashboards, BI tools, and automated reports. Users can query creators, filter metrics by engagement, and track content trends without manual scraping.
| Feature | Benefit |
|---|---|
| Creator Performance Endpoint | Real-time tracking of 20,000+ creators |
| Engagement Metrics | Likes, shares, comments, views |
| Content Categories | Top trending themes and hashtags |
| Historical Data | 2020–2025 trend analysis |
| API Access | Integration with analytics platforms |
The API empowers data scientists, marketers, and agencies to create dashboards, monitor campaigns, and build predictive models efficiently.
Why Choose Real Data API?
Real Data API offers a robust Social Media Data Scraping API designed for marketers and analysts. Using our Kwai API scraper for creator performance monitoring, you can access cleaned, structured, and continuously updated data without building your own scraping infrastructure. Our platform provides reliable insights, historical trend analysis, and API endpoints to support campaign planning, performance evaluation, and influencer discovery.
Conclusion
From tracking over 20,000 creators to analyzing engagement, reach, and content trends, leveraging Sentiment Analysis with a Kwai API scraper for creator performance monitoring empowers brands to optimize campaigns, increase ROI, and stay ahead of the competition.
Start today with Real Data API to transform raw social media data into actionable insights and elevate your influencer marketing strategy.
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Disclaimer : Real Data API only extracts publicly available data while maintaining a strict policy against collecting any personal or identity-related information.