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Facebook Reels Play Count Scraper

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Facebook Reels Play Count Scraper

Facebook Reels Play Count Scraper

Facebook Reels Play Count Scraper extracts Facebook Reels and video play counts, video IDs, captions, and thumbnail URLs from multiple URLs. Get structured, machine-readable Facebook video metadata for analytics, research, monitoring, and reporting.

Pricing

from $1.50 / 1,000 results

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Alpha Scraper

Alpha Scraper

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9

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19 days ago

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🔵 Facebook Reels Play Count Scraper – Overview

Facebook Reels Play Count Scraper extracts useful public metadata from Facebook video and Reels URLs and returns it in structured dataset records. Its main purpose is to collect a video’s play count while also capturing the source URL, video ID, caption, and a high-resolution thumbnail URL when those values are available.

The Facebook Reels Play Count Scraper is built for users who already have Facebook video links and need organized, machine-readable engagement data. You can submit one URL or multiple URLs in the same run, with results kept in input order.

🔎 Facebook Reels Play Count Scraper at a glance

  • Accepts one or multiple Facebook video and Reels URLs
  • Extracts play count as a numeric value
  • Provides readable counts such as 7.9M views
  • Returns video ID, caption, source URL, and thumbnail URL when available
  • Processes submitted URLs serially and preserves input order
  • Includes retry handling for failed requests
  • Saves records to the default Apify Dataset

This Facebook Reels Play Count Scraper is useful for research, content analysis, creator monitoring, competitive research, reporting, and structured Facebook video datasets.

🎯 Who Is This Facebook Reels Play Count Scraper For?

This Facebook Reels Play Count Scraper is suitable for marketers, agencies, researchers, developers, analysts, and data teams working with public Facebook video links. It is especially useful when the task is focused on collecting play counts and basic video metadata rather than building a full Facebook profile or page crawler.

You can run the Facebook Reels Play Count Scraper manually and use the resulting Dataset in analysis or downstream Apify workflows.

🧩 Facebook Reels Play Count Scraper – Key Features

The Facebook Reels Play Count Scraper focuses on practical metadata and status reporting. The small input surface makes it easy to start a run without configuring many separate options.

✨ Key Features

  • Play count extraction: Captures the numeric play count when available.
  • Readable view count: Converts the number into formats such as 950 views, 12.4K views, or 3.2M views.
  • Facebook video ID: Returns the detected numeric video identifier when available.
  • Caption extraction: Captures available caption or description text.
  • Thumbnail URL: Returns a detected high-resolution thumbnail URL when available.
  • Status tracking: Reports ok, invalid_video_id, play_count_not_found, or a request error status.
  • Multiple URL processing: Accepts multiple start URLs in one run.
  • Ordered processing: Processes submitted URLs serially.
  • Retry behavior: Retries a failed request before returning a final error record.

The Facebook Reels Play Count Scraper is focused on individual video URLs and does not expose separate inputs for keywords, profiles, pages, categories, or comments.

📊 What Data Can Facebook Reels Play Count Scraper Extract?

The Facebook Reels Play Count Scraper returns a structured record for each submitted URL. The central field is play_count, a numeric value that is convenient for calculations, sorting, filtering, and reporting.

Supporting fields help identify and interpret the result. source_url preserves the original input, video_id provides the detected identifier, caption keeps available descriptive text, and full_hd_thumb_url provides the detected thumbnail address when available.

FieldTypeDescription
source_urlStringOriginal Facebook video or Reels URL submitted
captionStringExtracted caption or available public description text
full_hd_thumb_urlStringDetected high-resolution thumbnail URL, when available
video_idStringFacebook video ID detected from the URL or page
play_countIntegerNumeric play count detected for the video
play_count_textStringHuman-readable count such as 7.9M views
statusStringResult status showing success or why data was unavailable

📦 Output / Data Fields

  • Each processed URL produces a structured object in the default Dataset.
  • play_count is the machine-friendly value for analytics.
  • play_count_text is convenient for reports and user-facing displays.
  • status helps identify records that need review or a rerun.
  • Zero or empty values may appear when specific metadata cannot be found.

⚙️ Facebook Reels Play Count Scraper – How to Use

Using the Facebook Reels Play Count Scraper requires only the public startUrls input.

📝 Step 1: Add Facebook URLs

Open the input and add one or more Facebook video or Reels URLs to Start URLs. The Facebook Reels Play Count Scraper can work with common Reel, share, watch, and video-page URL patterns.

Example input:

{
"startUrls": [
{
"url": "https://www.facebook.com/reel/943131928534957"
},
{
"url": "https://www.facebook.com/watch?v=1390942842608591"
}
]
}

▶️ Step 2: Start the Run

Start the Facebook Reels Play Count Scraper after adding your URLs. Requests are processed one by one rather than concurrently, helping keep the result order aligned with the input list.

📥 Step 3: Review the Dataset

When the run finishes, open the default Apify Dataset and review the records. The Facebook Reels Play Count Scraper stores the extracted objects together so they can be analyzed or used in supported downstream workflows.

🔍 How to Extract Facebook Reels Play Count from Multiple URLs

For bulk Facebook Reels play count collection, add several URLs to startUrls and launch the Facebook Reels Play Count Scraper. There is no separate keyword or discovery field; the Actor analyzes the URLs you provide.

This workflow is useful for campaign reviews, competitor research, creator studies, or projects where a known list of Facebook videos needs structured engagement data.

A practical workflow is to prepare the URLs in a spreadsheet, send them to the Facebook Reels Play Count Scraper, then export or process the resulting Dataset. Use play_count for calculations and play_count_text for presentation.

💡 Bulk collection tip

  • Keep one complete Facebook URL per startUrls item.
  • Use play_count for sorting, filtering, and calculations.
  • Keep source_url with every result for traceability.
  • Check status before treating a record as complete.
  • If a URL occasionally misses data, rerun the Actor as recommended in the input guidance.

❓ Can Facebook Reels Play Count Scraper Extract More Than Play Count?

Yes. The Facebook Reels Play Count Scraper can also return the detected video ID, caption, source URL, and thumbnail URL when those values are available.

However, the Facebook Reels Play Count Scraper is not configured as a general Facebook profile, page, comments, reactions, follower, or post-history scraper. Its documented output is centered on individual video and Reels URLs.

This makes the Facebook Reels Play Count Scraper a focused option when your goal is to analyze known Facebook video links rather than discover Facebook content.

🎯 Facebook Reels Play Count Scraper – Use Cases

The Facebook Reels Play Count Scraper supports workflows where public video engagement data is useful.

🚀 Common Use Cases

  • Content performance research: Compare play counts across selected Facebook Reels or videos.
  • Competitor monitoring: Review publicly available play counts for known competitor URLs.
  • Campaign reporting: Build structured reports from promotional video links.
  • Social media analytics: Combine play counts with other marketing datasets.
  • Creator research: Organize video URLs and compare published video performance.
  • Media research: Collect metadata from a defined set of Facebook video URLs.
  • Prospect research: Add video engagement context where a Facebook video URL is already known.
  • Historical comparison: Rerun the same collection later and compare results.

The Facebook Reels Play Count Scraper is most useful when URLs are already known. It is not a keyword-based Facebook discovery crawler.

🧾 Input

The Actor currently exposes one input property.

Input FieldTypeRequiredPurpose
startUrlsArray of URL request objectsNoOne or multiple Facebook video and Reels URLs to process

🔗 startUrls

Add the Facebook URLs you want the Facebook Reels Play Count Scraper to analyze. Multiple URLs can be included in one run.

Supported examples include Facebook Reel URLs, Facebook share links, Facebook watch URLs, and Facebook video page URLs. The Facebook Reels Play Count Scraper attempts to identify the corresponding video ID and retrieve available metadata from each supplied page.

There is no separate maximum-item, keyword, username, page ID, or category input in the current schema.

📝 Input Notes

  • startUrls is the only public input field.
  • It accepts one or multiple URL request entries.
  • Use complete Facebook URLs rather than only a numeric ID.
  • Empty input means there are no URLs to process, so the Actor exits without normal results.

📤 Output

The Facebook Reels Play Count Scraper stores results in the default Apify Dataset. Each record represents one submitted URL and contains the extraction fields described above.

Example output:

{
"source_url": "https://www.facebook.com/reel/943131928534957",
"caption": "Example Facebook Reel caption",
"full_hd_thumb_url": "https://example.com/thumbnail.jpg",
"video_id": "943131928534957",
"play_count": 7900000,
"play_count_text": "7.9M views",
"status": "ok"
}

Actual values depend on the Facebook page and the public metadata available when the Facebook Reels Play Count Scraper processes the URL.

A play_count_not_found status means a video identifier was available but a usable play count could not be detected. invalid_video_id means a usable video ID could not be identified.

💰 Pricing

The provided Actor configuration does not expose a public human-readable price, so this README does not invent a per-item or per-run amount.

Check the Actor’s Apify Store page and your Apify account for current usage costs. This avoids exposing internal billing configuration and keeps pricing information tied to the platform’s current settings.

🛠️ Tips and Best Practices

The following practices can make Facebook Reels Play Count Scraper runs easier to validate.

✅ Important Notes

  • Use public Facebook video or Reels URLs that you are authorized to analyze.
  • Keep source_url in downstream data so results can be traced to their source.
  • Use play_count for numerical analysis instead of parsing play_count_text.
  • Treat missing captions or thumbnails as normal when those values are unavailable.
  • Review status before using a record in final reporting.
  • For occasional incomplete extraction, rerunning the Facebook Reels Play Count Scraper may return the expected data, as noted in the Actor input guidance.

Facebook page content can change, so metadata may differ between runs. Play count is a point-in-time metric and can naturally increase as a video receives more plays.

🤖 Automation, API, and Data Workflows

The Facebook Reels Play Count Scraper runs as an Apify Actor and stores structured records in an Apify Dataset. This suits workflows that use Apify for scheduled runs, programmatic Actor execution, or Dataset processing.

For example, a separate system can provide a list of Facebook video URLs, send them to the Facebook Reels Play Count Scraper through an Apify workflow, and then consume the resulting Dataset records. The Actor itself exposes only the startUrls input; additional automation features depend on the Apify platform and your account setup.

❓ Frequently Asked Questions

🔎 What is Facebook Reels Play Count Scraper?

Facebook Reels Play Count Scraper is an Apify Actor for extracting play count and selected metadata from Facebook video and Reels URLs. Its output includes the source URL, video ID, caption, thumbnail URL, numeric play count, formatted play count, and processing status when available.

🔗 Can I scrape Facebook Reels play count from multiple URLs?

Yes. Add multiple URL request entries to startUrls and run the Facebook Reels Play Count Scraper. Each URL is processed individually, and results follow the submitted order.

📊 What data does Facebook Reels Play Count Scraper return?

The Facebook Reels Play Count Scraper returns source_url, caption, full_hd_thumb_url, video_id, play_count, play_count_text, and status. These fields provide both machine-readable metrics and context for each processed video URL.

🎥 Does it support Facebook video URLs as well as Reels?

Yes. The Facebook Reels Play Count Scraper is designed for Facebook video and Reels URLs, including common Reel, watch, share, and video-page formats.

🔢 What is the difference between play_count and play_count_text?

play_count is the numeric integer for calculations, sorting, and analytics. play_count_text is the formatted human-readable value, such as 7.9M views.

⚠️ What does play_count_not_found mean?

It means the Facebook Reels Play Count Scraper identified a video but could not find a usable play count in the available page metadata. The record remains available for review.

🔄 What should I do when a result is incomplete?

Check the returned status and the individual fields. The Actor input guidance notes that if a URL occasionally misses data, rerunning the Actor can retrieve the correct data successfully.

📸 Does the Actor download the Facebook video itself?

No general video-file download capability is documented by the provided configuration. The Facebook Reels Play Count Scraper focuses on metadata such as play count, caption, video ID, and thumbnail URL.

👤 Can I enter a Facebook username or page name instead of a URL?

No. The current schema exposes only startUrls, so the Facebook Reels Play Count Scraper expects Facebook video or Reels URLs rather than usernames, page names, or search keywords.

🧮 Can I use Facebook Reels Play Count Scraper for analytics?

Yes. The numeric play_count field can be sorted, filtered, aggregated, and compared in analytics workflows. Dataset records can also be combined with other data in your broader Apify process.

🔐 Does the Actor require credentials?

No credentials, cookies, tokens, or private authentication values are exposed as Actor inputs. Use the Facebook Reels Play Count Scraper with URLs and data you are authorized to analyze.

📞 Support

For questions, issue reports, or help with Facebook Reels Play Count Scraper, use the Actor’s Issues tab on Apify or contact the publisher directly.