
Enter one or more Reel URLs to extract creator details, hashtags, comments, and engagement metrics from public Instagram Reels, with support for media archiving and structured data output.
The Instagram Reel Scraper lets you extract structured public Reel data from Instagram using one or more Reel URLs. Just paste your target links, run the scraper, and collect content fields, media assets, and engagement metrics in a structured format. It is designed for short-form video analysis, viral content reviews, competitor research, and public Reel data collection.
Compared with manual review, this scraper makes it much faster to collect public Instagram Reel data at scale and turn it into structured output for analysis, monitoring, and reporting.
| 👤 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 |
The Instagram Reel Scraper is built to be simple to use, so you can start extracting data quickly even without prior scraping experience.
Enter the Instagram Reel URL you want to scrape. Example URL: https://www.instagram.com/reel/DWK3Ku9jDpZ/?igsh=MTl5aTllaXd0ZXZiNQ==
This scraper is best for cases where you already know the exact Reel you want to analyze and need a fast way to extract content details and engagement metrics, such as viral content reviews, competitor analysis, or media archiving.
Supported input:
url: The Instagram Reel URL to scrape.Recommended inputs: Public Reel detail page URLs, competitor Reel URLs, target Reels you want to monitor
Not recommended: Profile URLs, listing pages, private content links, or invalid redirect URLs
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.
Below is an example of Reel output:
Because many Reel workflows are not about broad discovery. They are about digging into a shortlist of known videos. If you already have the exact Reel URL, this version is the fastest way to get structured data without extra filtering.
Yes. The current field set treats these as separate metrics, which makes the output more useful for deeper performance analysis and distribution research.
Yes. The scraper can return video and audio links, along with thumbnail URLs, making it useful for content archiving, creative analysis, and multimedia workflows.
Yes. In addition to Reel-level data, the output can include profile-related stats such as follower count, post count, and paid partnership status. That gives you more context around the creator behind the content.
It is especially useful for content teams, growth teams, paid media teams, researchers, and data teams that need structured Reel data for analysis, reporting, or internal tools.
The URL version is built for precise, single-item analysis. A list-based scraper is better when you want to collect a batch of Reels, limit results by date, or monitor a broader content set.
CSV is ideal for quick review, manual comparison, and spreadsheet workflows. JSON is better for databases, scripts, dashboards, and automated data pipelines.
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