Instagram Recent Post Scraper

An Apify actor that scrapes recent post data from a public Instagram profile. Provide a username, and it returns structured data including captions, engagement metrics, media URLs, and timestamps. This is an experimental solution; data retrieval can take some time to complete.

Key Features

• Fetches recent posts from a specified public Instagram @username.
• Extracts key data points: caption, likes count, comments count, post creation time, and post type (e.g., video, sidecar).
• Returns direct media URLs (post_url) for download or viewing.
• Handles multi-image posts (sidecar_urls).
• Outputs clean, structured JSON data.

How to Use

1. Input: Run the actor with the target Instagram username (e.g., stockx).
2. Process: The actor navigates to the profile and scrapes the available recent posts. Please be patient during execution.
3. Output: Retrieve the results as a dataset of JSON objects, ready for download via the Apify platform or integration via API.

Input & Output

Input Configuration:
The actor requires a single input parameter:
* username (String): The Instagram handle to scrape (without the '@' symbol).

Output Example:
The actor returns an array of post objects. Below is a sample of the JSON structure.

[
  {
    "username": "stockx",
    "caption": "SGA working the register at the @converse Shai 001 release...",
    "likes": 931,
    "comments": 19,
    "created_time": "06 September 2025 16:24:42",
    "post_type": "video",
    "post_url": "https://cdn.scanick.com/?uri=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",
    "sidecar_urls": []
  }
]