Social Media Data Collection: API Methods & Pro Tools (Ethical & Compliant)
Автор: Biomedical
Загружено: 2025-11-03
Просмотров: 4
Описание:
Social Media Data Collection: API Methods & Pro Tools (Ethical & Compliant)
Learn how to collect high-quality social media data the right way—via official APIs and trusted tools. We’ll cover end-to-end workflows for marketers, analysts, and researchers: choosing the right API, handling auth, managing rate limits, normalizing data, and turning raw feeds into insights and dashboards—without breaking platform rules or user trust.
What you’ll learn:
• Key APIs: Instagram Graph, Facebook Graph, YouTube Data, X (Twitter) v2, Reddit, LinkedIn, TikTok developer options
• Authentication & access: OAuth, app permissions, scopes, tokens, webhooks
• Queries & limits: pagination, filtering, backoff strategies, scheduling
• Data pipeline: ETL with Python/Node, storage (CSV, BigQuery, Postgres), enrichment, deduping
• Tools to accelerate: Sprout Social, Brandwatch, Meltwater, Hootsuite, Apify, Social Searcher, Netlytic, Power BI/Tableau
• Compliance: privacy-by-design, consent, ToS-friendly collection, GDPR/CCPA basics, PII handling
• Real demos: post/comment fetch, hashtag/topic tracking, sentiment & trend reporting
Build reliable, scalable, and compliant social data pipelines that your team can trust.
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social media data collection, social media API tutorial, Instagram Graph API, Facebook Graph API, YouTube Data API, Twitter X API, Reddit API, LinkedIn API, TikTok API, OAuth tutorial, rate limits, ETL pipeline, Python social media, Node.js social media, social listening tools, Brandwatch, Meltwater, Sprout Social, Hootsuite, Apify, data compliance, GDPR, CCPA, privacy by design, sentiment analysis, dashboard reporting
#SocialMediaAPI #DataCollection #MarketingAnalytics #SocialListening #InstagramAPI #FacebookAPI #YouTubeAPI #TwitterAPI #RedditAPI #LinkedInAPI #TikTokAPI #Python #NodeJS #GDPR #CCPA
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