Facebook Reels Scraper

Facebook Reels Scraper ⚡

Trying to collect Facebook Reels metadata (captions, likes, comments, hashtags, and more) one link at a time is slow and doesn’t scale. Facebook Reels Scraper automates extraction of public Reels details from a list of Reel URLs. It’s a practical Facebook reels scraper tool for marketers, analysts, and researchers who need fast Facebook reels data extraction. Run it with your target Reel links to get structured results in minutes—so you can move from discovery to analysis without manual copy-paste.

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See the Data: Sample Output

Here's a real record from a single run:

{
  "caption": "New drop today! #fitness #reels #workout",
  "thumbnail": "https://example.com/thumbnail.jpg",
  "video_id": "123456789012345",
  "comment_count": 128,
  "like_count": "[\"User A\",\"User B\"]",
  "share_count": 37,
  "owner_name": "Acme Fitness Studio",
  "hashtags": ["#fitness", "#reels", "#workout"],
  "shareable_url": "https://www.facebook.com/share/reel/987654321098765",
  "reelDateTime": "2026-04-18 12:34:56",
  "reelDate": "2026-04-18",
  "reelDuration": "22.5",
  "url": "https://www.facebook.com/reel/2051489205656843"
}

Field	Type	What It Tells You
url	string	The exact Reel URL you provided, so you can trace results back to the source.
owner_name	string	The Reels author/page name—useful for grouping content by creator.
caption	string	The full caption text for context, theme detection, and content review.
hashtags	array	Parsed hashtags extracted from the caption, great for hashtag analysis and trend spotting.
video_id	string	A stable identifier you can use to de-duplicate and join with other datasets.
shareable_url	string	The shareable Reels URL from the source data for easy linking and verification.
thumbnail	string	Thumbnail URI to quickly preview the content in reports or dashboards.
comment_count	number	Engagement signal for discussion volume and audience interest.
like_count	string	Likers info (stored as JSON text in this actor output) to support deeper engagement analysis.
share_count	number	Engagement signal for distribution and virality tracking.
reelDateTime	string	Timestamp of the Reel when available—use for recency and time-series analysis.
reelDate	string	Date-only value to simplify daily reporting and filtering.
reelDuration	string	Duration (as a string) to compare short vs. long-form performance.

Export your full dataset as JSON, CSV, or Excel from the Apify dashboard.

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Setting It Up

Drop this into your input.json and you're ready to go:

{
  "startUrls": [
    { "url": "https://www.facebook.com/reel/2051489205656843" },
    { "url": "https://www.facebook.com/reel/109876543210987" }
  ]
}

Parameter	Required	What It Does
startUrls	✅	A list of one or more Facebook Reel URLs that the actor will scrape for Reel caption, likes, comments, hashtags, and related metadata.

Note: The actor also supports proxy configuration via an input field named proxyConfiguration (it uses residential proxies by default), but it is not part of the provided actor input schema.

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What It Does

Facebook Reels Scraper extracts structured metadata from each Reel URL you provide and writes a row per Reel into your Apify dataset.

Scrape Facebook reels metadata from your URL list

Feed it multiple Reel links, and it will pull key details like caption, hashtags, owner_name, comment_count, share_count, shareable_url, and more. This makes it a straightforward Facebook reels scraper tool for batch research and reporting.

Clean output built for analysis

Results are normalized into consistent JSON fields such as video_id, reelDateTime, reelDate, and reelDuration. The hashtags field is extracted from the caption so you can analyze themes without extra parsing steps.

Includes Facebook reels URL extractor behavior in one pass

Because it processes each entry from your startUrls list, you get both the scraped metadata and the original url in every dataset row. That means you can trace each record back to the source quickly—ideal for a Facebook reels data extraction workflow.

Works without account management on your side

You provide public Reel URLs, and the actor handles the retrieval and parsing to produce dataset-ready records. This is useful when you need a social media reels scraper workflow for content audits or analytics scraper tasks.

Handles incomplete or missing fields gracefully

If some metadata isn’t present for a Reel, the corresponding fields can come through as null (for example, when like_count, reelDateTime, or reelDuration aren’t available). This keeps your dataset schema stable while still reflecting what’s available per Reel.

Overall, Facebook Reels Scraper helps you scrape Facebook reels details at scale with clean, structured output for downstream use.

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Why Facebook Reels Scraper?

There are plenty of ways to pull data from social platforms—here’s why Facebook Reels Scraper stands out.

Fast batch results from Reel links

Instead of manual copying, Facebook Reels Scraper processes the URLs you provide and pushes structured records into your dataset as it goes. This speeds up Facebook reels analytics scraper workflows when you need results quickly.

Resilient retrieval for smoother runs

The actor includes retries and fallback behavior so transient issues don’t immediately end your run. That makes it a practical Facebook video scraper choice for larger batches.

Structured results that map cleanly to datasets

The output fields are designed to be immediately useful for marketers and analysts—engagement counts, caption/hashtags, creator name, and timestamps are all returned in a single consistent record per Reel. It’s a solid foundation for Facebook reels content scraper projects and follow-up analysis.

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Real-World Use Cases

Here's how different teams put Facebook Reels Scraper to work:

Social Media Analysts
You have a spreadsheet of Reel URLs to evaluate, but you don’t want to manually capture captions, hashtags, and engagement metrics. You run Facebook Reels Scraper on your list, then analyze comment_count, share_count, and hashtags to compare content themes and formats. The structured dataset makes it easy to turn “what performed?” into “why did it perform?”

Influencer Marketing Teams
Your team needs a creator shortlist based on publicly visible Reel engagement, not guesswork. After running the Facebook reels scraper tool on candidate Reels, you review owner_name, caption, and like_count (likers info as returned by the actor) to spot consistent engagement patterns. You save hours of manual review per campaign.

Content Auditors & Brand Strategists
You’re auditing what a brand or competitor posts and which topics keep audiences engaged. By scraping Facebook reels metadata for a batch of Reels, you get reelDate/reelDateTime, reelDuration, and caption hashtags in one place. That lets you quickly identify trends and content gaps.

Researchers & Data Projects
You’re building a dataset for a study on short-form video engagement behaviors over time. The actor returns reelDateTime and duration data when available, along with engagement counts and extracted hashtags. The consistent JSON structure supports faster cleaning and joining with other sources.

Developers & Automation Specialists
You want to automate ingest of Reel metadata into an internal pipeline. You run the actor with your startUrls, then use the dataset results programmatically in your app or workflow. This supports a repeatable Facebook reels batch downloader process without needing to rewrite scraping logic.

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How to Run It

No code required. Here's how to get your first results in under 5 minutes:

1. Open the actor on Apify
   Go to the actor page on Apify: console.apify.com.

2. Enter your inputs
   Add your target Reel URLs in the startUrls field (you can provide objects with a url key).

3. Configure proxy settings (optional)
   If you want to customize proxy behavior, set proxyConfiguration. The actor uses residential proxies by default.

4. Start the run and watch the live log
   Monitor progress in the Apify dashboard—you’ll see which URL is being processed and whether valid data was found.

5. Open the Dataset tab to see live results
   Records are written per URL, with fields like caption, hashtags, comment_count, and shareable_url.

6. Export in your preferred format
   Download the dataset as JSON, CSV, or Excel directly from the Apify dashboard.

The whole setup takes under 5 minutes — results start appearing within seconds of launch.

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Export & Integration Options

Once your data is collected, Facebook Reels Scraper fits directly into your existing workflow.

You can export results from the Apify dashboard as JSON, CSV, or Excel. If you’re using spreadsheets or BI tools, this makes it easy to go from dataset to analysis without extra transformations.

For automation, you can run the actor via the Apify API, then programmatically retrieve your dataset results. You can also trigger downstream systems using your own workflow around the run completion (for example, pushing the dataset into your app or storage layer).

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Pricing

Facebook Reels Scraper runs on Apify, which includes a free tier — no credit card needed to start. Free tier access includes $5 platform credits on sign-up, enough for several real test runs.

For heavier workloads, you can scale using Apify’s pay-as-you-go Actor compute unit (CU) pricing or upgrade to Apify plans for larger capacity. Start free at apify.com — scale up when you need to.

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Reliability & Limitations

What We Handle	How
Rate-limit style failures	Retries with fallback behavior to keep runs moving
Proxy reliability	Uses residential proxies by default and supports proxy configuration
Missing fields in some Reels	Fields may come through as null when not present in the source data
Partial progress	Each URL is processed and pushed to the dataset as it completes
Data presence variability	If no valid JSON content is found for a URL, that URL is skipped

Limitations: This actor works on public data available on the provided Reel pages. If a Reel doesn’t expose certain metadata (for example, likes details, timestamps, or duration), those fields may be missing or null. If you need access to login-gated or private content, this actor won’t be able to retrieve it.

For enterprise-scale needs or custom configurations, reach out and we'll help.

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Frequently Asked Questions

Is there a free plan?

Yes. Apify provides a free tier with monthly usage credits so you can try Facebook Reels Scraper before scaling up.

Do I need to log in or create an account on Facebook?

No login is required from your side. The actor operates on publicly available Reel data you can view without authentication.

How accurate is the extracted data?

Accuracy depends on what the Reel page publicly exposes. The actor returns structured fields like caption, parsed hashtags, comment_count, and share_count based on the page’s available content.

How many results can I get per run?

The actor processes each entry in startUrls. Your effective output volume depends on how many Reel URLs you provide and how much data is available per Reel.

How fresh is the data?

The results reflect what’s available on each Reel page at the time the actor fetches it during your run.

Is this legal? Does it comply with GDPR / CCPA?

The actor is designed to collect publicly available data from pages you provide. You’re responsible for ensuring your use complies with GDPR, CCPA, platform terms, and applicable regulations.

Can I export to Google Sheets or Excel?

Yes. You can export from the Apify dashboard as JSON, CSV, or Excel, which can be imported into tools like Google Sheets.

Can I schedule this to run automatically?

Yes. In Apify, you can schedule actor runs on a recurring basis so your Reel metadata extraction happens automatically.

Can I access results via the API?

Yes. After the run completes, you can retrieve dataset results programmatically through the Apify API.

What happens when the actor encounters an error?

If a URL fails to fetch after retries, it’s skipped and the run continues with the remaining URLs. If valid data isn’t found for a URL, that URL is also skipped rather than stopping the whole run.

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Get Help & Use Responsibly

Got a question about Facebook Reels Scraper or a feature you’d like added? Reach out at dataforleads@gmail.com. We welcome feedback and actively maintain this actor based on user needs.

publicly available data: the actor accesses publicly available data on the provided Reel pages and does not access private accounts, login-gated pages, or password-protected content. You’re responsible for ensuring compliance with GDPR, CCPA, and platform ToS when using and storing results. For data removal requests, contact dataforleads@gmail.com. Use responsibly, ethically, and only for lawful purposes.