Instagram Reels Scraper(by URL)

What is Instagram Reels Scraper?

The Instagram Reels Scraper lets you extract structured public Reel data from Instagram using one or more Instagram URLs. Just enter the target links, set the number of posts, date range, or exclusions, and the scraper will automatically collect a batch of Reel content along with its key engagement metrics. You can export the results in CSV or JSON format and use them for short-form video research, content monitoring, and large-scale social media analysis.

• Scrape a batch of public Reels in one run
• Extract rich content and engagement fields
• Set the number of posts to collect
• Filter results by date range
• Exclude specific posts and export to CSV or JSON

Compared with manually reviewing and organizing Reels one by one, this scraper makes it much faster to collect public Instagram short-form video data at scale and turn it into structured output for research, monitoring, and downstream workflows.

Common use cases for the Instagram Reels Scraper

1. Short-form video trend analysis: Collect captions, hashtags, views, play counts, and engagement metrics from multiple Reels to quickly identify content trends.
2. Competitor content monitoring: Scrape Reels from a target account or content entry point to understand competitor content direction, posting cadence, and top-performing themes.
3. Media library building: Turn public Reels into a structured content library so teams can search, categorize, and reuse creative references more easily.
4. Marketing performance analysis: Compare likes, comments, and play metrics across different time ranges or content themes to support creative optimization.
5. AI training data preparation: Collect public short-form video fields in bulk for multimodal datasets, content intelligence, or model training workflows.

What data can you extract from Instagram?

How to scrape Instagram data

The Instagram Reels Scraper is designed to be simple to use, so you can start extracting data quickly even without prior scraping experience.

1. Sign up and create your CoreClaw account with your email address.
2. Open the Instagram Reels Scraper.
3. Add one or more Instagram URLs.
4. Set the number of posts, date range, and exclusions as needed.
5. Click Run and wait for the extraction to finish.
6. Download the results in JSON or CSV format.

➡️ Input

Enter the Instagram URL you want to scrape. This scraper is best for discovering Reels in bulk from a public profile or content entry point, analyzing content performance over time, and continuously building a structured short-form video dataset.

Supported input parameters:

• url: The Instagram URL to scrape.
• num_of_posts: The number of posts to collect.
• start_date: The start date for filtering results.
• end_date: The end date for filtering results.
• posts_to_not_include: Posts to exclude from the run.

Recommended inputs: Public profile URLs, public entry-point URLs that support batch content discovery Not recommended: Private account links, broken links, restricted pages, or non-Instagram URLs

⬅️ Output

When the run is complete, the collected Instagram Reel data is organized under the Output tab as a structured dataset. For easier review, results are typically shown in a table-like view and can be downloaded in CSV or JSON format.

JSON example

[
  {
    "profile_url": "https://www.instagram.com/espn",
    "url": "https://www.instagram.com/p/DOZ-go3DGjh",
    "user_posted": "espn",
    "description": "Example Reel caption",
    "hashtags": [],
    "num_comments": 184,
    "date_posted": 1757473324,
    "likes": 25291,
    "videos": [
      "https://example.com/video.mp4"
    ],
    "latest_comments": [
      {
        "comments": "Example top comment",
        "user_commenting": "example_user"
      }
    ],
    "post_id": "3718277889151232225",
    "content_type": "clips",
    "content_id": "DOZ-go3DGjh",
    "thumbnail": "https://example.com/thumbnail.jpg",
    "product_type": "clips",
    "video_play_count": "",
    "followers": 28293636,
    "posts_count": 66409,
    "is_verified": true,
    "is_paid_partnership": false,
    "audio": {
      "original_audio_title": "Original audio"
    },
    "input": {
      "url": "https://www.instagram.com/billieeilish",
      "num_of_posts": "10",
      "start_date": "",
      "end_date": "",
      "posts_to_not_include": ""
    }
  }
]

FAQ

How is this different from a single-Reel URL scraper?

A single-Reel URL scraper is better for analyzing one known short video in detail. All Reel By URL is built for batch collection from a public entry point, with support for quantity limits, date filters, and exclusions.

What kind of URL should I enter here?

The current input setup accepts a url array, and the default example is a public Instagram profile URL. In practice, this makes the scraper best suited for collecting a group of Reels from a public account or content entry point.

Can I control how many items are collected?

Yes. The num_of_posts parameter lets you define how many pieces of content to collect in a run, which helps manage scope, cost, and output size.

Can I filter results by date?

Yes. The input supports both start_date and end_date, which makes it useful for time-based content analysis and historical range studies.

Can I exclude posts I do not want to collect?

Yes. Use the posts_to_not_include parameter to exclude specific posts and reduce duplicate or irrelevant results.

Which teams is this scraper best for?

It is especially useful for content teams, marketing teams, researchers, and data teams. These teams usually need to analyze groups of Reels over time rather than just one video.

What is the best way to use the exported data?

CSV is ideal for operations, analysis, and content teams working in spreadsheets. JSON is better for engineering teams that want to connect the output to databases, automation workflows, scripts, or BI systems.