# Collect public Instagram posts for a hashtag research corpus

**Use case:** 

Gather recent public posts tagged with a hashtag to study captions, media, and engagement patterns in one dataset.

## Input

```json
{
  "instagramUsernames": [
    "natgeo"
  ],
  "hashtags": [
    "streetstyle"
  ],
  "directPostUrls": [],
  "maxPostsPerTarget": 25,
  "onlyPostsNewerThan": "30 days",
  "includeRecentComments": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "thumbnail_url": {
    "label": "Thumbnail URL",
    "format": "string"
  },
  "owner_username": {
    "label": "Owner Username",
    "format": "string"
  },
  "post_type": {
    "label": "Post Type",
    "format": "string"
  },
  "caption": {
    "label": "Caption",
    "format": "string"
  },
  "like_count": {
    "label": "Like Count",
    "format": "integer"
  },
  "comment_count": {
    "label": "Comment Count",
    "format": "integer"
  },
  "video_view_count": {
    "label": "Video View Count",
    "format": "integer"
  },
  "timestamp": {
    "label": "Posted At",
    "format": "string"
  },
  "url": {
    "label": "Post URL",
    "format": "string"
  },
  "is_reel": {
    "label": "Is Reel",
    "format": "boolean"
  },
  "is_sponsored": {
    "label": "Is Sponsored",
    "format": "boolean"
  },
  "location_name": {
    "label": "Location Name",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Instagram Posts Scraper – Profiles, Hashtags & URLs](https://apify.com/khadinakbar/instagram-posts-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/khadinakbar/instagram-posts-scraper) to learn more, explore other use cases, and run it yourself.


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This Task's input is already configured above — use it as-is rather than inventing a new one.

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/khadinakbar/instagram-posts-scraper.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
