instagram-scraper

Extract Instagram post engagement data into CSV and JSONL exports.

1|1|Updated Mar 29, 2026
One-click install
npx skills add https://github.com/yuyuxinli/moodcoco --skill instagram-scraper-yuyuxinli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: instagram-scraper
Source: https://github.com/yuyuxinli/moodcoco/tree/main/.claude/skills/instagram-scraper
Command: npx skills add https://github.com/yuyuxinli/moodcoco --skill instagram-scraper-yuyuxinli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Collects and organizes Instagram post engagement data (likes, comments, captions, and media metadata) from public profiles, delivering structured exports for analysis and competitive research.

Core Features & Use Cases

  • End-to-end scraping: from profile discovery to exporting per-post data.
  • Engagement and metadata: captures like counts, comment counts, post date, captions, image URLs, and top comments.
  • Exports: outputs JSONL with full data, CSV summaries, and per-post Markdown files with local image references when available.

Quick Start

Ask me to extract data for a public Instagram profile and export it to CSV and JSONL for analysis.

Frequently Asked Questions about instagram-scraper

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I scrape Instagram post engagement data from public profiles?

Scraping Instagram engagement data requires a browser-based setup to extract public profile likes, comments, and captions into local structured formats. This process captures per-post metadata for competitive benchmarking and analysis.

What file formats can I export Instagram scraping results into?

Instagram scraping results export to CSV summaries and JSONL files containing full engagement data. Per-post Markdown files with local image references are also generated for structured local data formatting and analysis.

Can I collect comments and captions when scraping Instagram posts?

Yes, collecting comments and captions is supported when scraping Instagram posts. The extraction captures like counts, comment counts, post dates, captions, image URLs, and top comments across targeted public profiles.

Does this Instagram data collection tool work for competitive benchmarking?

Yes, this Instagram data collection tool works for competitive benchmarking by extracting public profile engagement metrics. It organizes likes, comments, and media metadata into structured exports for analysis and direct performance comparison.

Do I need API access to extract Instagram likes and metadata?

No, you do not need API access to extract Instagram likes and metadata. The scraping workflow uses a browser-based setup to collect engagement data directly from public profiles, bypassing official API requirements.