# Scrape Instagram Posts

{% embed url="<https://www.youtube.com/embed/x-RfPtxfixI>" %}

## Configuration

### Username

Enter the username or profile URL of the user whose posts you want to scrape.

### Output Variable

Specify the name of the output variable that will store the results. Example: `Posts_result`

### Advanced Settings

**Result Limit:** Set the max amount of posts you want to scrape. The default is set to 100.

**Only Posts Newer Than:** Set a date/time to limit for how far back the scraper should go. For example, if you want to only scrape posts 2 months old or newer you can type in `2 months`. To add a specific date you must use the format `YYYY-MM-DD`.

### Sample Output

```json
[{
  "queryUsername": "example_username",
  "position": 1,
  "id": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "type": "Image",
  "shortCode": "example_code",
  "caption": "Sample caption text with obfuscated details.",
  "hashtags": [],
  "mentions": [
    "example_mention"
  ],
  "url": "https://www.instagram.com/p/example_post/",
  "commentsCount": 96,
  "firstComment": "",
  "latestComments": [],
  "dimensionsHeight": 720,
  "dimensionsWidth": 1080,
  "displayUrl": "https://example.com/sample_image.jpg",
  "images": [],
  "alt": null,
  "likesCount": 5000,
  "timestamp": "2022-01-01T00:00:00.000Z",
  "childPosts": [],
  "locationName": null,
  "locationId": null,
  "ownerFullName": null,
  "ownerUsername": "example_username",
  "ownerId": "xxxxxxxxxx"
},
{
  "queryUsername": "example_username",
  "position": 2,
  "id": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "type": "Sidecar",
  "shortCode": "example_code",
  "caption": "Sample caption text with obfuscated details.",
  "hashtags": [],
  "mentions": [],
  "url": "https://www.instagram.com/p/example_post/",
  "commentsCount": 2000,
  "firstComment": "",
  "latestComments": [],
  "dimensionsHeight": 498,
  "dimensionsWidth": 750
}]
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://university.mindstudio.ai/docs/building-ai-agents/blocks-reference/scrape-instagram-posts.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.