Instagram Reel Scraper

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Helper Function / Wrapper

This actor works as a helper function (wrapper) around the official apify/instagram-reel-scraper actor.
It runs that actor internally, fetches public Instagram Reels, and then simplifies the result to output only key data fields such as reel URLs, IDs, usernames, play counts, likes counts, comments counts, and timestamps.

The output is lightweight and ready to use in reports, dashboards, or data processing workflows.

What is Instagram Reel Scraper?

Instagram Reel Scraper allows you to scrape public reels from any Instagram user. Just enter one or more Instagram usernames and you can extract and download all their posts in Excel, HTML, XML, CSV, Excel, or JSON to use in reports, data visualizations, spreadsheets, and other applications.

Please Note:

This actor uses the official apify/instagram-reel-scraper actor internally. It runs that actor to scrape data, then simplifies its result to provide only the most relevant information fields in a cleaner, reduced format.

How to scrape Instagram reel?

Instagram Reel Scraper is designed to be fast and easy to use so there aren't too many parameters or settings. Just follow the steps below:

Create a free Apify account. Open Instagram Reel Scraper. Add one or more Instagram usernames to scrape. Click "Save & Start" and wait for the datasets to be extracted. Download your data in JSON, XML, CSV, Excel, or HTML.

This actor automatically calls apify/instagram-reel-scraper, collects reel data, and outputs simplified results with the following fields:

• reelURL
• reelId
• ownerUsername
• videoPlayCount
• likesCount
• commentsCount
• timestamp

Example Output

[
{
"reelURL":"https://www.instagram.com/p/DTN5aH4gG9z/",
"reelId":"3804949744019599219",
"ownerUsername":"natgeo",
"videoPlayCount":1948214,
"likesCount":64503,
"commentsCount":340,
"timestamp":"2026-01-07T17:04:30.000Z"
},
{
"reelURL":"https://www.instagram.com/p/DTDmvljAD7L/",
"reelId":"3802052906329325259",
"ownerUsername":"natgeo",
"videoPlayCount":4694898,
"likesCount":90216,
"commentsCount":322,
"timestamp":"2026-01-03T17:10:02.000Z"
}
]

Example Input

const input = {
resultsLimit:27,
username:["natgeo"]
}