Fast Instagram Reel Scraper

Instagram Reel Scraper ⚡

Scrolling through Instagram Reels one by one is slow and doesn’t scale. Instagram Reel Scraper pulls Reels and Posts data by username so you can collect metadata fast for analysis, reporting, or outreach. It’s an Instagram reel scraper tool and Instagram reels video downloader built for teams who need Instagram reel data scraper results without manual copy-paste. It’s a great fit for marketers, data analysts, and researchers who want structured output from public Instagram content at speed—get up to the first max_posts results in a single run.

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See the Data: Sample Output

Here’s a real record from a single run:

{
  "id": "12345678901234567",
  "type": "Video",
  "shortCode": "AbCDefGhIjK",
  "caption": "New drops today! #fitness #reels @brand",
  "hashtags": ["fitness", "reels"],
  "mentions": ["brand"],
  "url": "https://www.instagram.com/p/AbCDefGhIjK/",
  "commentsCount": 24,
  "dimensionsHeight": 1920,
  "dimensionsWidth": 1080,
  "images": [],
  "videoUrl": "https://video.example.com/video.mp4",
  "likesCount": 1530,
  "timestamp": "2026-05-20T14:22:11.000Z",
  "ownerFullName": "Jane Doe",
  "ownerUsername": "janedoe",
  "ownerId": "99887766554433",
  "isPinned": false,
  "productType": null,
  "videoDuration": 37.5,
  "inputUrl": "https://www.instagram.com/janedoe",
  "firstComment": "Amazing 🔥",
  "latestComments": [
    {
      "id": "55566677788899",
      "text": "Amazing 🔥",
      "ownerUsername": "someone_else",
      "ownerProfilePicUrl": "https://example.com/pic.jpg",
      "timestamp": "2026-05-20T14:30:05.000Z",
      "repliesCount": 0,
      "replies": [],
      "likesCount": 3,
      "owner": {
        "id": "33322211100099",
        "is_verified": false,
        "profile_pic_url": "https://example.com/pic2.jpg",
        "username": "someone_else"
      }
    }
  ],
  "displayUrl": null,
  "audioUrl": null,
  "alt": "New drops today!",
  "videoViewCount": 120034,
  "videoPlayCount": 98002,
  "childPosts": [],
  "taggedUsers": [
    {
      "full_name": "Brand Partner",
      "id": "11223344556677",
      "is_verified": false,
      "profile_pic_url": "https://example.com/partner.jpg",
      "username": "brandpartner"
    }
  ],
  "musicInfo": {
    "artist_name": "Original Artist",
    "song_name": "Original audio",
    "uses_original_audio": true,
    "should_mute_audio": false,
    "should_mute_audio_reason": "",
    "audio_id": "audio_123"
  },
  "isCommentsDisabled": false,
  "status": "success",
  "error_message": null
}

Field	Type	What It Tells You
id	string	Stable identifier for the media item you scraped
type	string	Media type classification (e.g., Video, Image, Carousel)
shortCode	string	Short code used to construct or reference the post URL
caption	string	The post’s caption text (useful for content analysis and tagging)
hashtags	array	Hashtags extracted from the caption for clustering and reporting
mentions	array	Mentioned usernames parsed from the caption
url	string	Canonical Instagram URL for the scraped post/reel
commentsCount	number	How much discussion the post has attracted
likesCount	number	Engagement level for likes
timestamp	string	UTC timestamp derived from taken_at, useful for time-series analysis
ownerFullName	string	Display name of the account that posted the media
ownerUsername	string	The Instagram username associated with the media
videoUrl	string | null	Direct video URL when available (handy for downstream processing)
firstComment	string | null	The first comment text found (when comment data is present)
latestComments	array	A list of comment objects captured from the response
musicInfo	object	Extracted music metadata when the media includes music information
status	string	Indicates the record succeeded in producing output
error_message	string | null	Populated when an error occurs (otherwise null)

Export your full dataset as JSON, CSV, or Excel from the Apify dashboard.

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Setting It Up

Drop this into your input.json and you're ready to go:

{
  "username": "cristiano",
  "max_posts": 10
}

Parameter	Required	What It Does
username	✅	The Instagram username to scrape without the @ symbol (for example, cristiano)
max_posts	⬜	Maximum number of reels to scrape (minimum 1). Default is 10.

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What It Does

Instagram Reel Scraper collects structured media data from a given public Instagram profile by username.

Scrape Reels and Posts metadata by username

You provide a single username, and the actor gathers media items up to your max_posts limit. The output includes engagement stats like likes and comments, plus core content fields such as caption, hashtags, and mentions.

Produces clean, integration-ready JSON

The dataset record includes practical fields like url, timestamp, ownerUsername, and media-specific assets such as videoUrl when available. It also extracts taggedUsers and musicInfo so you can analyze content themes without extra parsing.

Includes hashtags and mentions from captions

To help you quickly segment and understand content, it extracts hashtags and mentions directly from the caption. This is useful for building trend reports, mapping brand collaborations, or enriching datasets for downstream analytics.

Captures comments details when available

If comment data is present in the scraped content, it stores firstComment and a latestComments array with comment-level information. Each comment object includes text, timestamp, ownerUsername, and an owner sub-object with basic profile fields.

Built-in proxy support for reliable scraping

The actor supports proxy configuration via proxyConfiguration in the input. It uses proxy routing to keep requests reliable during larger runs and repeated page access.

Handles missing data safely

When specific content isn’t available for a media item (for example, images or certain music metadata), the related fields can be null or empty (like images: []). This keeps each record shaped for analysis without forcing you to clean up inconsistent schemas manually.

Overall, Instagram reel scraper results land as structured records you can export and use immediately for reporting or research.

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Why Instagram Reel Scraper?

There are plenty of ways to pull data from Instagram—here’s why Instagram Reel Scraper stands out.

Built specifically for reel and post data extraction

This actor is designed to scrape Reels and Posts data “including comments, likes, and more by username.” That focus makes it easier to build reel-focused analytics workflows without stitching together multiple tools.

Writes each successful result as it goes

Results are pushed to the dataset after each successful scrape. That means you don’t have to wait for a whole run to finish to start exporting or analyzing partial outputs.

Resilient request flow with clear failure handling

The actor includes retry logic when fetching post page data and returns None when it can’t produce output for a given URL. Your dataset export stays consistent, and you can re-run for missing items by adjusting inputs like max_posts.

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Real-World Use Cases

Here's how different teams put Instagram Reel Scraper to work:

Marketing Analysts
A marketing analyst monitors content performance across a set of creator accounts. They run Instagram reel export jobs for each username, then analyze engagement patterns using likesCount, commentsCount, and timestamp from the dataset. The hashtags and mentions extracted from caption help them identify repeat themes and collaborations.

Sales Prospecting Teams
A sales development team wants to find who’s getting attention and who might have collaborators. They scrape multiple public profiles, then use taggedUsers and musicInfo to build a shortlist of accounts producing standout reel content. Exporting the dataset lets them enrich CRM fields without manual browsing.

Freelance Researchers
A researcher studying creator ecosystems needs a repeatable way to collect public Instagram reel data scraper outputs for longitudinal research. They run the actor with a chosen max_posts, export to JSON or CSV, and track changes in captions, mentions, and comment activity over time using the timestamp field.

Agencies Running Competitive Audits
An agency doing influencer and content audits needs consistent metadata across accounts. They use Instagram reel URL extractor output (url, shortCode, displayUrl) and engagement metrics to compare posts quickly, then share a single export file with clients for internal review.

Data Engineers Building Pipelines (Technical)
A data engineer wants to automate ingestion into an internal analytics warehouse. They trigger the actor and pull results programmatically via the Apify API, then map the JSON fields (ownerUsername, caption, hashtags, latestComments) into their schema for dashboards and notebooks.

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How to Run It

No code required. Here's how to get your first results in under 5 minutes:

1. Open the actor on Apify
   Go to the actor page on console.apify.com.

2. Enter your inputs
   Set username (required) and optionally max_posts to control how many reels/posts to scrape.

3. Configure proxy settings (recommended for reliability)
   In the input, you can use proxyConfiguration to enable proxy routing for the run.

4. Start the run and watch the live log
   The actor logs progress as it processes each media item.

5. Open the Dataset tab to see results immediately
   Each successful record is pushed into the dataset during the run.

6. Export your data
   Download from the Apify dashboard as JSON, CSV, or Excel.

7. Refine and re-run if needed
   If you need deeper coverage, increase max_posts and run again for the same or additional usernames.

The whole setup takes under 5 minutes — results start appearing within seconds of launch.

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Export & Integration Options

Once your data is collected, Instagram Reel Scraper fits directly into your existing workflow.

You can export your dataset from the Apify dashboard as JSON, CSV, or Excel from the dataset tab. For analysis, this makes Instagram reel scraping software outputs easy to load into spreadsheets, notebooks, or reporting tools.

For automation, you can use Apify API to access results programmatically, and integrate with downstream systems using webhooks or no-code automation via Zapier / Make.

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Pricing

Instagram Reel Scraper runs on Apify, which includes a free tier — no credit card needed to start. The free tier includes $5 platform credits on sign-up, which is enough for several real test runs.

For heavier workloads, you’ll pay as you go based on Apify Actor compute units (CU), with subscription plans available for larger needs. Start free at apify.com — scale up when you need to.

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Reliability & Limitations

What We Handle	How
Platform rate limits	Built-in pacing and resilient request handling
Proxy support	You can provide proxyConfiguration for more reliable runs
Temporary fetch failures	Post page fetching uses up to 3 attempts
Partial run recovery	Each successful scrape is pushed to the dataset during the loop
Missing fields	Fields may be null or empty when the source data doesn’t contain that information
Scale safety	The actor uses a safety limit on pagination while collecting post URLs

Limitations: The actor works on publicly accessible Instagram profile content and returns None for items it can’t extract. It won’t access private or login-gated content, so results depend on what’s publicly available for the target username.

For enterprise-scale needs or custom configurations, reach out and we’ll help.

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Frequently Asked Questions

Is there a free plan?

Yes. Apify offers a free tier with platform credits on sign-up, which is typically enough to validate your workflow with a few real test runs.

Do I need to log in or create an account on Instagram?

No. This Instagram reel scraper tool is intended for public Instagram content, so you don’t need to provide an Instagram login to start.

How accurate is the extracted data?

Accuracy is based on what’s present in the public page data the actor retrieves. Fields like caption, engagement counts, hashtags, mentions, and musicInfo are extracted from the available structured content.

How many results can I get per run?

You control that with max_posts. The input schema defines it as “Maximum reels” with a default of 10 and a minimum of 1.

How fresh is the data?

The data freshness matches the time when the actor runs. If you re-run later, you’ll capture updated captions, engagement, and comments that are publicly visible at that moment.

Is this legal? Does it comply with GDPR / CCPA?

You should treat this as a tool for extracting publicly available data. Whether your use complies with GDPR, CCPA, Instagram’s Terms of Service, and applicable regulations is your responsibility.

Can I export to Google Sheets or Excel?

Yes. You can export from the Apify dataset tab as JSON, CSV, or Excel, then import into Google Sheets or any compatible system.

Can I schedule this to run automatically?

Yes. On Apify you can set the actor to run on a schedule so it refreshes your Instagram reel export outputs automatically.

Can I access results via the API?

Yes. You can pull results programmatically via the Apify API, which is useful for building pipelines that ingest Instagram reels metadata scraper outputs into your systems.

What happens when the actor encounters an error?

For a given media item, the actor may return None if it can’t extract data after its attempts. Successful results are still pushed to the dataset during the run, so you keep what was already collected.

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Get Help & Use Responsibly

Got a question about Instagram Reel Scraper or a feature you'd like added? Reach out at dataforleads@gmail.com. We welcome requests like supporting additional fields in the export or improving how reel-related metadata is represented, and we actively maintain the actor based on user feedback.

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This actor collects publicly available data. It does not access private accounts, login-gated pages, or password-protected content. It’s your responsibility to comply with GDPR, CCPA, platform Terms of Service, and applicable laws when using or storing the data. For data removal requests, contact dataforleads@gmail.com. Use responsibly, ethically, and only for lawful purposes.