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Instagram Reel Data Scraper
01KPD7151B22221R67ZXW3SECE
Extract public Reel data from Instagram using a list URL, including creator usernames, titles, hashtags, engagement metrics, and more. Ideal for short-form video trend analysis, content monitoring, and competitor research. Supports structured data output.
by CoreClaw
4.6
9runs
Try for Free
2,000 Free Results
Last updated:2026-04-11
Version:v1.0.1
What is the Instagram Reel Data Scraper?
The Instagram Reel Scraper lets you extract structured Reel data from Instagram using one or more list URLs. Just paste a list entry URL, and the scraper will automatically collect a set of Reels along with their engagement metrics and content fields. It is designed for viral video research, trend analysis, creator monitoring, and Reel data archiving at scale.
- Scrape a batch of Reels in one run
- Extract content, media, and engagement fields
- Limit the number of posts and define a date range
- Well suited for trend analysis and batch monitoring
- Export results in CSV or JSON
Compared with manually reviewing Reels one by one, this scraper makes it much faster to collect Instagram Reel list data at scale and turn it into structured output for research, monitoring, and downstream workflows.
Common use cases for the Instagram Reel Data Scraper
- Trending Reel research: Collect titles, hashtags, view counts, and engagement metrics from multiple short videos to identify emerging content trends.
- Competitor content monitoring: Scrape Reels from a target account or content entry point to understand competitor publishing patterns and high-performing topics.
- Creative asset libraries: Convert public Reel data into a structured reference library for search, categorization, and reuse.
- Marketing analysis: Compare views, likes, and comments across time periods or content themes to support creative optimization.
- Training data preparation: Collect public short-form video fields in bulk for multimodal datasets, content intelligence, or AI workflows.
What data can you extract from Instagram?
| 👤 Creator username | 📝 Caption / post text |
| #️⃣ Hashtags | 💬 Comment count |
| ❤️ Like count | 👁️ Views / play count |
| 📅 Publish date | 🆔 Content ID |
| 🖼️ Thumbnail URL | 📹 Video URL / audio URL |
| ⏱️ Duration | 🏷️ Content type |
| 👥 Follower count / post count | 🤝 Paid partnership status |
How to scrape Instagram Reel data
The Instagram Reel Scraper is built to be simple to use, so you can start extracting data quickly even without prior scraping experience.
- Sign up and create your CoreClaw account with your email address.
- Open the Instagram Reel Scraper.
- Add one or more Instagram list URLs.
- Set the number of posts, date range, and exclusions as needed.
- Click Start and wait for the extraction to finish.
- Review the structured output and download the results as CSV or JSON.
➡️ Input
Enter the Instagram list URL you want to scrape. This version is best for discovering Reels in bulk from a target account entry point or content feed, analyzing performance over time, and building structured content datasets.
Supported input:
url: The Instagram list entry URL to scrape.num_of_posts: The number of posts to collect.start_date/end_date: The date range for filtering results.posts_to_not_include: Posts to exclude from the run.
Recommended inputs: Public account entry URLs, public content entry pages that support bulk browsing
Not recommended: Single post URLs, private account links, invalid or restricted entry URLs
JSON example
text
FAQ
How should I choose between the list URL version and the single-URL version?
Use the list URL version when you want to collect a batch of Reels, monitor a broader content set, or filter results by date. Use the single-URL version when you only need detailed data for a small number of known Reels.
Are views and play count the same thing?
No. The current field set captures them separately, which makes the output more useful for detailed content performance analysis.
Can I extract video and audio asset links?
Yes. The scraper can return thumbnail URLs, video URLs, and audio URLs, which makes it useful for asset archiving and multimedia research.
Why is this version well suited for trend analysis?
Because it is built for batch collection. Instead of analyzing one Reel at a time, you can collect a set of Reels, apply date filters, control volume, and compare patterns across a broader content sample.
Can I control how many Reels are collected?
Yes. The num_of_posts parameter lets you define how many items to include in a run, which is useful for controlling scope and cost.
Which export formats are supported?
The results can be exported in both JSON and CSV, making them easy to use in spreadsheets, BI tools, databases, and automation workflows.
What are the most common business use cases for this data?
Typical use cases include marketing analysis, audience engagement research, competitor monitoring, media asset management, and AI training data preparation.
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