social-scraping

What problem does it solve?

Social data is fragmented across platforms and often requires multi-step, paid collection flows to retrieve profiles, posts, comments, and follower lists. This Skill centralizes cross-platform scraping into a predictable trigger-and-poll workflow so you can reliably collect social media signals for research, monitoring, and influencer analysis.

Core Features & Use Cases

• Cross-Platform Coverage: Collect profiles, posts, comments, reactions, followers, and following on TikTok, Instagram, Facebook, and Reddit.
• Async Trigger-and-Poll Flow: Initiate paid POST triggers that return a JWT token, then poll job status with free GET requests until data is ready.
• Pagination & Limits: Support for cursors, page_info.has_next_page, and adjustable parameters like max_posts, max_followers, and max_page_size.
• Use Case Example: Run a profile deep dive: trigger profile collection, poll until finished, then trigger posts and followers collection to build an influencer audience dataset.

Quick Start

Use the social-scraping skill to trigger an Instagram profile collection for handle natgeo, poll until the job finishes, then fetch the related posts and followers.