Cross Platform Social Media Analytics

via “social media and web scraping api aggregation with platform coverage”

This GitHub repo is a powerhouse collection of APIs you can start using immediately to build everything from simple automations to full-scale applications. One of the most valuable API lists on GitHub—period. 💪

Unique: Aggregates 3,268 social media scraping APIs (31% of catalog) with coverage across 6+ platforms, making it the largest specialized category — most API directories do not dedicate this much coverage to social media data extraction.

vs others: Provides more comprehensive social media scraping options than official platform APIs (which have strict rate limits and authentication requirements), but with higher legal and technical risk.

via “performance analytics tracking”

Publish videos, photos, and text to all your social channels from one place. Schedule and manage posts at scale with background processing and easy status tracking. Track performance with unified analytics and streamline page and profile management.

Unique: Aggregates performance data from multiple platforms into a single dashboard, providing a holistic view of content effectiveness.

vs others: Offers more comprehensive analytics than standalone tools by integrating data from various social media channels.

via “multi-platform social media profile retrieval”

Find and research people across LinkedIn, Instagram, and the open web. Search with rich filters and retrieve detailed profile insights in seconds.

Unique: Utilizes a combination of API integration and web scraping to provide a seamless experience for fetching social media profiles, unlike alternatives that may rely solely on one method.

vs others: More comprehensive than standalone tools by aggregating data from multiple sources in real-time.

via “analytics tracking for social media interactions”

Social APIs for developers and AI agents. Schedule posts, track analytics, answer DMs, run ads, ... from a single API.

Unique: Aggregates and normalizes data from multiple social media platforms, providing a consistent analytics interface for developers.

vs others: Offers a more comprehensive view of social media metrics compared to platform-specific analytics tools.

via “cross-platform comparison of trending topics”

Track real-time hotlists across Weibo, Baidu, Zhihu, Douyin, Bilibili, Tencent, Toutiao, 36Kr, Hupu, Pengpai, Huxiu, Tieba, and Juejin. Compare platform trends to spot breaking stories and niche buzz fast. Monitor headlines for research, brand watch, and content planning.

Unique: Employs a unified scoring system that adjusts for engagement metrics specific to each platform, allowing for accurate comparisons.

vs others: More nuanced than basic comparison tools because it accounts for platform-specific engagement metrics.

via “cross-platform social media analytics”

via “unified social media analytics dashboard”

Unique: Normalizes heterogeneous platform analytics APIs (each with different metric definitions and calculation methods) into a unified schema, enabling cross-platform comparison without requiring users to manually reconcile differences

vs others: Simpler than Sprout Social's advanced analytics but faster to set up; lacks competitive benchmarking and audience insights that specialized analytics tools provide

via “real-time cross-platform analytics consolidation”

via “content performance analytics and engagement tracking”

Unique: unknown — insufficient data on whether analytics uses real-time streaming (WebSocket) or batch polling; unclear if it performs predictive analytics (forecasting future engagement) or only historical analysis

vs others: Simpler than native platform analytics but less detailed; likely faster than manually exporting data from each platform, but less comprehensive than specialized analytics tools (e.g., Sprout Social, Hootsuite) which offer deeper audience insights

via “cross-platform-influencer-analytics”

via “basic social media analytics and performance reporting”

Unique: Normalizes metrics across platforms with different naming conventions and calculation methods (Instagram 'engagement rate' vs Twitter 'engagement rate') into a unified schema, enabling cross-platform comparison without manual conversion

vs others: Adequate for basic performance tracking, but significantly less sophisticated than Sprout Social or Hootsuite which offer audience segmentation, competitor benchmarking, and predictive analytics

via “social-media-analytics-and-reporting”

via “cross-channel analytics aggregation and reporting”

Unique: Unifies analytics from social, email, and SMS in one view rather than requiring separate logins to Meta Ads Manager, Mailchimp, and Twilio dashboards; freemium tier includes basic cross-channel reporting that competitors like Sprout Social gate behind premium plans

vs others: Eliminates context-switching between platform dashboards for small teams, but lacks the statistical rigor and multi-touch attribution modeling of enterprise tools like Sprout Social or HubSpot

via “basic social media analytics and performance tracking”

Unique: Unified analytics dashboard pulling from 4 platform APIs with basic KPI visualization, using scheduled data syncs rather than real-time streaming — reduces API costs but sacrifices real-time optimization capability and depth of insight

vs others: Simpler than Hootsuite or Sprout Social analytics, but lacks cohort analysis, attribution modeling, and audience insights that justify premium pricing for data-driven teams

via “multi-platform social account aggregation”

via “basic social media analytics and post performance tracking”

Unique: Aggregates metrics from multiple platform APIs (Twitter, Instagram, LinkedIn, Facebook) into a unified dashboard with time-series storage for trend analysis, rather than requiring separate analytics logins per platform

vs others: Simpler analytics interface than Buffer/Later for casual users, but lacks advanced features like sentiment analysis, audience segmentation, and conversion attribution that power users need

via “multi-platform-social-media-aggregation”

Unique: Normalizes heterogeneous platform APIs (Twitter's v2 schema, Instagram Graph API, Facebook Messenger) into a unified comment schema with platform-specific metadata preserved, enabling single-interface management while maintaining platform-specific context for replies

vs others: More convenient than managing separate platform dashboards, but introduces API rate-limit bottlenecks and requires ongoing maintenance as platforms update their APIs

via “cross-platform video metrics aggregation”

via “content performance analytics with surface-level platform metrics”

Unique: Aggregates metrics across heterogeneous platform APIs (each with different data models and latency characteristics) into a unified dashboard, but implements basic metric collection without audience segmentation, cohort analysis, or predictive modeling that enterprise tools layer on top

vs others: Faster setup than Sprout Social or Hootsuite for small teams (no complex configuration), but provides only surface-level metrics without the audience insights, behavioral analysis, or ML-driven recommendations that justify enterprise tool pricing

via “multi-platform social media monitoring and comment stream aggregation”

Unique: Normalizes comments into a unified schema despite platform API inconsistencies (e.g., Twitter's 'public_metrics' vs Facebook's 'engagement' vs Instagram's separate API calls), enabling cross-platform analysis without platform-specific logic in downstream systems. Uses platform-native webhooks where available (Facebook, Twitter) and falls back to polling for platforms without webhook support, optimizing for latency vs API quota usage.

vs others: Aggregates comments faster than manual platform monitoring and more comprehensively than generic social listening tools (Hootsuite, Sprout Social) because it's purpose-built for comment-level moderation rather than high-level sentiment analysis, capturing individual comments within seconds rather than minutes.