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instagram-hashtag-posts

Retrieve Instagram hashtag posts with media, captions, and user metadata via GraphQL.

5.3k|252|Updated Feb 6, 2026
Search Tags:#automation#analytics#scraping#instagram#social-media#data-extraction#hashtag
Ready to run
npx skills add https://github.com/browser-act/skills --skill instagram-hashtag-posts
💬 Prompt for ChatGPT / Claude Chat▼
Please help me install this Agent Skill.
Skill: instagram-hashtag-posts
Source: https://github.com/browser-act/skills/tree/main/solutions/social-listening/instagram-hashtag-posts
Command: npx skills add https://github.com/browser-act/skills --skill instagram-hashtag-posts

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Scrapes Instagram hashtag posts to collect media items along with captions, like counts, comment counts, and user metadata from the hashtag explore feed, saving manual browsing time and enabling analytics.

Core Features & Use Cases

  • Retrieves posts associated with a specific hashtag, including media URLs, captions, like and comment counts, and user information.
  • Supports parsing of GraphQL response data from Instagram's PolarisKeywordSearchExplorePageRelayQuery to assemble a structured dataset suitable for analysis or archiving.
  • Use Case: monitor trending hashtags for brand campaigns or research public hashtag content for sentiment and engagement trends.

Quick Start

Use the instagram-hashtag-posts skill to fetch posts for a specific hashtag.

Frequently Asked Questions about instagram-hashtag-posts

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

FAQPage Schema
How do I scrape Instagram hashtag posts with captions and like counts?▼

You can fetch Instagram hashtag posts by running the provided Python scripts, which parse the GraphQL PolarisKeywordSearchExplorePageRelayQuery response to normalize media URLs, captions, and engagement metrics into a structured dataset.

Do I need a logged-in Instagram session to extract hashtag data?▼

A logged-in browser session is required to access Instagram's hashtag explore feed and retrieve the GraphQL response data needed for parsing top posts.

What specific data fields are included when fetching Instagram hashtag posts?▼

Fetching Instagram hashtag posts yields media URLs, captions, like counts, comment counts, and user metadata, assembled by parsing the GraphQL response into a normalized dataset for analysis.

Can I use Instagram hashtag scraping for brand monitoring and sentiment analysis?▼

Instagram hashtag scraping supports brand monitoring and sentiment analysis by collecting trending posts and engagement metrics to research public content and analyze sentiment trends for campaigns.

What is the best way to automate Instagram hashtag data extraction for analytics?▼

Automating Instagram hashtag data extraction is best achieved through Python scripts that query and normalize the GraphQL response, saving manual browsing time and enabling structured social analytics.

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