Instagram Related Hashtag Stats Scraper

Overview

This Apify actor scrapes detailed hashtag statistics and networks from Instagram. It extracts a main hashtag's metrics, discovers semantically and literally related hashtags, and gathers post-level engagement data. Output is structured for analysis, ideal for automating social media research, content strategy, and lead generation.

Key Features

• Deep Hashtag Analysis: Fetches main hashtag stats (post count, reach) and uncovers a network of related hashtags.
• Semantic & Literal Relations: Identifies hashtags used together in posts and those related by meaning, not just text.
• Post-Level Data Extraction: Captures top posts, media URLs, captions, likes, comments, and user mentions.
• Batch Processing: Scrape multiple seed hashtags in a single actor run.
• Flexible Export: Results are available in JSON, CSV, or Excel formats via the Apify dataset.
• Integration Ready: Connect via Apify API, webhooks, or tools like Zapier, Make, and Google Sheets. Data is structured for use in analytics or ML pipelines.

How to Use

1. Access the Actor: Find "Instagram Related Hashtag Stats Scraper" in the Apify Store.
2. Configure Input: Provide one or more starting hashtags (without the # symbol) in the actor's input.
3. Set Options: Choose output preferences (like depth of related hashtags).
4. Run: Start the actor. It will navigate Instagram, scrape the data, and store it in a dataset.
5. Get Results: Download the data in your chosen format from the dataset or fetch it via the Apify API.

Input/Output

Input Configuration (typically provided as JSON):

{
  "hashtags": ["fashion", "streetphotography"],
  "maxRelatedTags": 50,
  "maxPosts": 100
}

Output Data (example structure from dataset):

{
  "mainHashtag": "fashion",
  "postCount": 1500000000,
  "relatedHashtags": [
    { "tag": "style", "postCount": 850000000, "relationType": "semantic" },
    { "tag": "ootd", "postCount": 300000000, "relationType": "literal" }
  ],
  "topPosts": [
    {
      "url": "https://www.instagram.com/p/...",
      "caption": "Check out my new look! #fashion #style",
      "likes": 15420,
      "comments": 342,
      "timestamp": "2023-10-26T15:30:00Z",
      "mentions": ["@designer"]
    }
  ]
}

Available Data Points:
* Main hashtag statistics (total posts, estimated reach)
* Lists of related hashtags with post counts and relation type
* Top posts for the hashtag with engagement metrics
* Full captions, extracted hashtags, and user mentions from posts
* Media URLs for images and videos