Facebook Reels Details Scraper

🔍 Facebook Reels Details Scraper – Overview

The Facebook Reels Details Scraper extracts structured metadata from Facebook reel and video URLs and turns each supplied URL into a detailed dataset record. You can collect video metadata, creator or page context, engagement figures, media URLs, thumbnails, music information, location signals, hashtags, post details, and calculated insights in one structured result.

The Facebook Reels Details Scraper is useful for social media research, content analysis, Facebook video monitoring, creator research, competitive analysis, and media cataloging.

The easiest workflow is simple: add one or more Facebook video or reel URLs to Start URLs, run the Facebook Reels Details Scraper, and review the structured dataset output.

Key Features

• Extract detailed metadata from supplied Facebook reel and video URLs.
• Capture titles, descriptions, upload dates, duration, language, category, and content type.
• Return media information including thumbnails, resolution, file size, and available video formats.
• Collect owner, page, engagement, music, location, hashtag, and post context when available.
• Calculate engagement rate, popularity score, trend score, and estimated reach from available metrics.
• Return a structured result for each successfully processed URL.

⚙️ Facebook Reels Details Scraper – Key Features

The Facebook Reels Details Scraper uses one required input, while the resulting record is organized into multiple data sections.

📹 Detailed Video Metadata

Each result can include the Facebook video ID, resolved URL, title, description, caption, duration, upload timestamp, upload date, live status, language, category, content type, and media-related URLs when available.

Duration is provided in seconds and text form, making the dataset easier to filter, compare, and analyze.

🖼️ Media and Format Information

The media section can include a primary thumbnail, thumbnail URLs, preview image, SD and HD video URLs, audio URL, available video formats, resolution, aspect ratio, and file size in bytes.

Video formats are returned as structured objects containing a quality label, format extension, and URL.

👤 Owner and Page Context

Owner data can include owner ID, name, username value, profile URL, profile picture, verification status, and follower count when available.

The page context section provides page ID, page name, page URL, page category, and page verification status, helping you group results by publisher.

❤️ Engagement Data

The engagement section can contain views, play count, likes, total reactions, comments, shares, and saves.

Some metrics may be unavailable for a particular Facebook video. Normalized zero values should therefore be interpreted carefully rather than automatically treated as confirmed platform values.

🎵 Music, Location, and Content Signals

The output can include track name, artist, album, audio ID, and original-audio status.

Location data can include location name, location ID, latitude, and longitude when available. The record also includes hashtags and tags associated with the extracted content.

Why Use the Facebook Reels Details Scraper

• Turn Facebook URLs into structured research data.
• Keep video, publisher, engagement, and media information together.
• Build datasets for content discovery, competitor monitoring, and creator analysis.
• Compare records with calculated insight fields.
• Process multiple Facebook URLs in one Actor run.

📊 Facebook Reels Details Scraper – What Data Can You Extract?

The Facebook Reels Details Scraper returns a rich nested object instead of only a title or URL. This makes the output suitable for structured Facebook video research.

🎬 Video Data

The video object includes:

• id
• url
• short_url
• title
• description
• caption
• duration_seconds
• duration_text
• upload_timestamp
• upload_date
• is_live
• is_reel
• is_story
• language
• category
• content_type
• direct_video_url
• audio_only_url
• video_only_url

A key interpretation note: is_reel is currently returned as false. Do not use that field as proof that an input was or was not a Facebook Reel.

📺 Media Data

The media object can contain:

• thumbnail_url
• thumbnail_urls
• preview_image
• sd_video_url
• hd_video_url
• audio_url
• video_formats
• resolution.width
• resolution.height
• aspect_ratio
• file_size_bytes

The video_formats array contains quality, format, and URL values. Exact availability depends on the supplied URL.

🧑 Owner Data

The owner object includes:

• id
• name
• username
• profile_url
• profile_picture
• type
• verified
• category
• followers_count
• following_count

Some fields are normalized placeholders. For example, username uses the extracted uploader ID, while type is returned as page and following_count as 0.

📈 Engagement Data

The engagement object includes:

• views
• play_count
• likes
• reactions_total
• comments
• shares
• saves

The Actor can use available extracted figures for views and reactions. reactions_total can fall back to the like value.

🧩 Additional Data Sections

Each result also includes hashtags, mentions, tags, location, music, page_context, post, related_videos, insights, and scrape_info.

mentions and related_videos are currently empty arrays. The post section includes post ID, post URL, post text, post type, created time, and edited time.

Output / Data Fields

• Video metadata for titles, descriptions, duration, dates, language, and category.
• Media metadata for thumbnails, resolution, aspect ratio, format URLs, and file size.
• Publisher metadata for owner and page context.
• Engagement metrics for views, likes, comments, shares, and reactions.
• Music and location metadata when available.
• Hashtags and tags for content classification.
• Calculated insights for engagement, popularity, trend, and estimated reach.

🛠️ Facebook Reels Details Scraper – How to Use It

Using the Facebook Reels Details Scraper requires only a Start URLs list.

📥 1. Add Facebook URLs

Open the Actor input and place one or more Facebook reel or video URLs in the Start URLs field. The input is a list, so multiple URLs can be processed in one run.

▶️ 2. Start the Actor

Run the Actor after confirming that your URL list is populated. Each supplied URL is handled independently, and successful results are pushed to the dataset.

📊 3. Review Structured Results

Open the dataset after the run and inspect the video, media, owner, engagement, location, music, page, post, and insight sections.

🔎 4. Analyze the Dataset

Use the resulting structured data for filtering, research, reporting, or downstream processing in your Apify workflow.

Input

• startUrls — Required array of Facebook video or reel URL objects.
• Each list item should contain a url value.
• Add one URL or multiple URLs depending on your research task.
• The configuration provides Facebook Reel and share-link examples as prefills.

🔎 How to Scrape Facebook Reel Details from URLs

The Facebook Reels Details Scraper works best when you already have a clean list of target URLs. For a known group of reels, creator posts, competitor videos, campaign examples, or research references, add those URLs directly to Start URLs.

For each supplied URL, the Actor attempts to collect core video metadata and enrich the record with owner, media, engagement, music, location, and post information when available. This makes it suitable for structured Facebook content research rather than only collecting links.

For larger projects, organize URLs around a clear research purpose, such as one creator, one competitor set, one campaign, or one content category.

📦 Can You Extract Facebook Video Metadata and Media URLs?

Yes. The Facebook Reels Details Scraper can return descriptive metadata and media-related information when those values are available.

Records can contain direct video, SD, HD, audio-only, thumbnail, and format URL fields. Individual results may have some URL fields empty because source availability can differ.

The media section also records dimensions, aspect ratio, and file-size information. These fields can help with media inventories, video filtering, and content analysis.

📈 Can You Analyze Facebook Reel Engagement?

Yes. The Facebook Reels Details Scraper returns engagement fields plus calculated insight fields.

engagement_rate is calculated from available views, likes, comments, and shares. popularity_score weights those signals to provide a comparison value. trend_score relates views to content age, while estimated_reach is a calculated estimate rather than an official Facebook metric.

Use these values as analytical indicators for ranking or comparison, not as replacements for official Facebook Analytics.

🎯 Facebook Reels Details Scraper – Use Cases

🔬 Social Media Research

Collect structured Facebook reel metadata for creator research, content inventories, topic studies, and trend analysis.

📊 Competitor Monitoring

Compare titles, descriptions, publishing dates, engagement metrics, content categories, and page information across selected Facebook videos.

🎵 Music and Content Analysis

Review track names, artists, original-audio indicators, hashtags, tags, language, and other content signals.

🧑‍💼 Creator and Page Research

Use owner information, follower counts, verification status, profile URLs, and engagement signals to study publishers.

📺 Media Cataloging

Maintain a structured catalog of Facebook video URLs with thumbnails, resolution, formats, durations, and file size data.

📈 Content Performance Analysis

Compare views, likes, comments, shares, engagement rate, popularity score, trend score, and estimated reach.

Use Cases

• Social media intelligence and market research.
• Facebook content and competitor monitoring.
• Creator and publisher analysis.
• Reel and video metadata collection.
• Media cataloging and classification.
• Engagement and trend analysis.
• Music, hashtag, and location research.

🧾 Facebook Reels Details Scraper – Sample Input

A Start URLs request uses an array of URL objects:

{
  "startUrls": [
    {
      "url": "https://www.facebook.com/reel/785977587505597"
    },
    {
      "url": "https://www.facebook.com/share/r/18qrB9ak9U/"
    }
  ]
}

The Actor expects the URLs to be available for the extraction process. No login field, password field, or authentication input is required by the Actor schema.

📋 Facebook Reels Details Scraper – Sample Output

A simplified result structure looks like this:

{
  "_requested_url": "https://www.facebook.com/reel/785977587505597",
  "video": {
    "id": "123456789",
    "url": "https://www.facebook.com/reel/785977587505597",
    "title": "Example Facebook Reel",
    "description": "Example description",
    "duration_seconds": 42,
    "upload_date": "2026-10-01",
    "language": "en",
    "content_type": "video"
  },
  "media": {
    "thumbnail_url": "https://example.com/thumbnail.jpg",
    "resolution": {
      "width": 720,
      "height": 1280
    },
    "aspect_ratio": "0.56",
    "file_size_bytes": 12345678
  },
  "owner": {
    "id": "987654321",
    "name": "Example Page",
    "profile_url": "https://www.facebook.com/example"
  },
  "engagement": {
    "views": 447000,
    "likes": 12000,
    "comments": 850,
    "shares": 300
  },
  "insights": {
    "engagement_rate": "3.00%",
    "popularity_score": "491600",
    "trend_score": "7449.00",
    "estimated_reach": 670500
  },
  "scrape_info": {
    "status": "success"
  }
}

The sample values are illustrative. Actual records depend on the Facebook URL and the data available for that video.

💰 Facebook Reels Details Scraper – Pricing

The provided Actor configuration does not specify a fixed public price. No specific per-result or per-run price should therefore be assumed from this documentation.

Pricing

• No fixed pricing figure is stated in the supplied Actor configuration.
• Actual Apify usage costs can depend on your run and platform account settings.
• Review the current cost shown in your Apify environment before processing a large dataset.

💡 Facebook Reels Details Scraper – Tips and Best Practices

✅ Use Clean URL Lists

Keep your Start URLs focused on the Facebook videos or reels you want to analyze. Organized inputs make the resulting dataset easier to interpret.

✅ Expect Field-Level Variation

Not every Facebook URL will provide every optional field. Media URLs, owner statistics, music, location, and engagement information can vary by source.

✅ Treat Calculated Metrics as Estimates

engagement_rate, popularity_score, trend_score, and estimated_reach are calculated fields. They are useful for comparison but are not official Facebook Analytics measurements.

✅ Validate Important Decisions

For high-stakes reporting, validate important numbers against the original Facebook content or another approved reference before publishing conclusions.

Important Notes

• startUrls is required.
• A failed extraction may produce no result for a particular URL.
• is_reel is currently returned as false and should not be treated as a verified Reel classifier.
• Some fields use normalized defaults such as empty strings, 0, N/A, or empty arrays.
• Estimated reach is an analytical estimate, not an official platform metric.

❓ Facebook Reels Details Scraper – Frequently Asked Questions

🔹 What is the Facebook Reels Details Scraper?

The Facebook Reels Details Scraper is an Apify Actor that extracts structured metadata from supplied Facebook reel and video URLs. It can return video details, media information, owner and page context, engagement data, music, location, post fields, hashtags, and calculated insights.

🔹 What input does the Facebook Reels Details Scraper require?

The only required input is startUrls, an array containing Facebook URL objects. Each item should include a url value.

🔹 Can I process multiple Facebook Reel URLs in one run?

Yes. startUrls is an array, so you can provide one or more Facebook URLs in the same Actor run. Each URL is handled individually.

🔹 What data does the Facebook Reels Details Scraper extract?

The output can include video IDs, titles, descriptions, duration, dates, media URLs, thumbnails, resolution, file size, owner information, follower counts, verification, views, likes, comments, shares, music, location, hashtags, tags, page context, post fields, and insight metrics.

🔹 Does the Actor provide Facebook video and audio URLs?

It can return direct video, SD, HD, audio-only, and video-format URL fields when those values are available.

🔹 Does the Actor calculate Facebook Reel engagement rate?

Yes. The engagement_rate field is calculated from available views and engagement signals and should be treated as a derived metric.

🔹 Is estimated reach an official Facebook metric?

No. estimated_reach is a calculated estimate based on the available view count. It is not an official Facebook reach figure.

🔹 Can I collect music and location information?

Yes, when available. The Actor can return track, artist, album, audio ID, original-audio status, location name, location ID, latitude, and longitude.

🔹 Does the output identify every input as a Reel?

No. The current is_reel value is false, so it should not be used as a reliable Reel classifier.

🔹 What happens when some data is missing?

The Actor uses normalized fallback values in several places, including empty strings, zero values, N/A, or empty arrays. Interpret each field according to its documented meaning.

🆘 Support

The Facebook Reels Details Scraper is intended for structured Facebook video and reel metadata collection from supplied URLs. For data questions, customization requests, or a bespoke workflow, please get in touch.

Support

• Share the URL pattern or output requirement you need.
• Explain which user-facing fields would make the Actor more useful for your workflow.
• contact me by email : alphascraper69@gmail.com