Facebook Reels Scraper
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Facebook Reels Scraper
📹 Facebook Reels Scraper extracts trending Reels data fast for marketing, research & content planning. Automatically collect links, captions, hashtags & more—save hours and boost insights with AI-driven efficiency. 🚀
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SolidScraper
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Facebook Reels Scraper 🎥
Facebook Reels Scraper is a purpose-built tool for scraping public Facebook Reels data such as caption, likes, comments, author/owner, hashtags, and more. If you’re looking for a Facebook Reels scraper, a scrape Facebook reels workflow, or a Facebook reels video scraper tool for automated Facebook reels scraping, this actor helps you collect structured Reel metadata at scale—saving you hours of manual work.
Whether you’re a marketer, researcher, or data analyst, this Facebook Reels metadata scraper supports your project needs by turning Reel pages into clean, exportable results you can use right away.
✅ Why choose Facebook Reels Scraper?
| Feature | Benefit |
|---|---|
| ✅ Reels metadata extraction | Pulls caption, hashtags, owner name, video ID, shareable URL, thumbnail, and engagement counts in one run |
| ✅ Built-in proxy support | Improves scraping reliability for public web data using residential proxies by default |
| ✅ Resilient execution | Includes retry logic (up to 3 attempts per URL) for better chances of successful collection |
| ✅ Structured dataset output | Saves results with consistent fields designed for easy export and analysis |
| ✅ Batch-friendly URL processing | Scrape one or many Facebook Reel URLs without changing code |
| ✅ Clear result mapping | Dataset columns align with the extracted Reel fields for straightforward downstream use |
🔑 Key features
- 📊 Caption + hashtag extraction: Captures Reel caption text and extracts hashtags from the caption
- 🌐 Facebook Reel URL support: Works directly from
startUrlscontaining one or more Facebook Reel URLs - 💾 Structured output for analysis: Pushes cleaned fields (URL, owner, caption, engagement, timing, thumbnail, etc.) into a dataset table
- 🛡️ Residential proxy support by default: Uses residential proxies as the default scraping configuration
- 🔄 Retries for resilience: Attempts each URL up to 3 times to reduce transient failures
- 🧾 Engagement metrics included: Extracts comment count, like-related info, and share count
- 🎬 Reel timing + duration fields: Returns
reelDateTime,reelDate, andreelDurationwhen present - 🖼️ Thumbnail capture: Stores the Reel thumbnail image URI when available
📝 Input
Provide input via an input.json file. Example structure:
{"startUrls": [{"url": "https://www.facebook.com/reel/2051489205656843"}]}
Input Fields
| Key | Required | Description |
|---|---|---|
startUrls | ✅ | List one or more Facebook Reel URLs to scrape. You can provide the URLs as objects with a url property. |
Notes on startUrls:
- The actor also supports
startUrlsas a list of strings (plain URL strings). - If no URLs are provided, the actor logs a warning and exits.
📦 Output
The actor saves each scraped Reel’s data in JSON format to the default dataset table “Scraped Reels”.
Example output object:
{"caption": "Sample caption text with #hashtags","thumbnail": "https://example.com/thumbnail.jpg","video_id": "1234567890","comment_count": 42,"like_count": "[{\"name\":\"User A\"}]","share_count": 7,"owner_name": "Page or Creator Name","hashtags": ["#hashtags"],"shareable_url": "https://www.facebook.com/reel/2051489205656843","reelDateTime": "2025-01-15 12:34:56","reelDate": "2025-01-15","reelDuration": "12.5","url": "https://www.facebook.com/reel/2051489205656843"}
Output Fields
| Field | Type | Description |
|---|---|---|
url | text | The source URL that was processed |
owner_name | text | The Reel owner name (video owner) |
caption | text | Reel caption text |
hashtags | array | Hashtags extracted from the caption (e.g., #example) |
video_id | text | The extracted video ID |
shareable_url | link | The extracted shareable URL |
thumbnail | image (URI/text) | The thumbnail image URI (when available) |
comment_count | number | Total comment count |
like_count | text | JSON-stringified “likers” info when available |
share_count | number | Share count |
reelDateTime | text | Reel date and time when available |
reelDuration | text | Reel duration as a string when available |
Export tip: After a run, open the dataset and export the table to JSON or CSV from Apify’s UI.
🚀 How to use Facebook Reels Scraper (via Apify Console)
-
Open Apify Console
Go to console.apify.com and sign in. -
Find the actor
Search for Facebook Reels Scraper and open its details page. -
Go to the INPUT panel
In the actor’s INPUT section, paste your input JSON. -
Add your Reel URLs
ProvidestartUrlsas an array of objects like{ "url": "https://www.facebook.com/reel/..." }(or as a list of plain URL strings).
This is the input you’ll see reflected in SEO-friendly “Facebook reels URL scraper” style workflows. -
Review proxy behavior (default: residential)
The actor uses residential proxies by default for reliable scraping of public web data. -
Click Run and watch logs
During the run, check the log output for processing status per URL. Each URL can be retried up to 3 times if needed. -
Open the OUTPUT dataset
After completion, open the dataset named “Scraped Reels” to view results in a table. -
Export your data
Export the dataset as JSON or CSV for analysis, CRM loading, or reporting.
No coding required—get accurate results in minutes with this Facebook reels data extraction tool. ✅
⚙️ Advanced features & SEO optimization
- 🎯 Engineered for Facebook Reels scraping and extraction: Built specifically to excel at “Facebook Reels analytics scraper” and “Facebook reels data extraction” use cases, focusing on Reel metadata fields like caption, hashtags, and engagement counts.
- 🔄 Retry + fallback resilience: Includes retries and resilient handling for better results when the platform intermittently blocks requests.
- 🧠 Input flexibility for batches: Supports
startUrlsas URL objects or as plain URL strings, making it easy to run “automated Facebook reels scraping” jobs. - 🕒 Timing and duration capture: Returns
reelDateTime,reelDate, andreelDurationwhen present to support trend and recency analysis. - 🧾 Consistent schema for downstream tools: Dataset fields are designed to be straightforward for marketers and analysts to consume for reporting and dashboards.
🧠 Best use cases
- 📈 Marketing teams building Reel insights: Compile engagement and content signals across multiple Facebook Reels for campaign analysis and creative reporting.
- 🔍 Researchers studying content trends: Collect caption text, hashtags, share and comment counts, and Reel timing to analyze audience response patterns.
- 🗂️ Social media analysts comparing performance: Use structured fields like
comment_count,like_count, andshare_countto compare Reels consistently. - 🏢 B2B lead generation workflows: Extract owner names and Reel context to enrich prospect research pipelines (useful for “Facebook Reels analytics scraper” style research).
- 💻 Data engineering pipelines: Feed scraped Reel metadata into analytics or ETL systems thanks to the consistent dataset schema.
- 🧪 Content auditing and moderation research: Gather caption/hashtag content and engagement metrics for auditing studies using publicly available data.
- 🔁 Batch data collection for reporting: Run “Facebook reels batch downloader” style jobs by passing many
startUrlsat once.
🔧 Technical specifications
-
Supported Input Formats
- ✅
startUrlsas an array of objects with aurlfield - ✅
startUrlsas an array of plain URL strings
- ✅
-
Proxy Support
- ✅ Residential proxies supported (residential proxies by default as described in the actor input description)
-
Retry Mechanism
- ✅ Retries included (up to 3 attempts per URL)
-
Dataset Structure
- ✅ Default dataset: “Scraped Reels”
- ✅ Table fields include:
url,owner_name,caption,hashtags,video_id,shareable_url,thumbnail,comment_count,like_count,share_count,reelDateTime,reelDuration
-
Rate Limits & Performance
- ✅ Designed for reliability with timeouts during HTTP fetching and resilient execution (exact throughput varies)
-
Limitations
- ❌ Only extracts data available from public web sources for the provided Reel URLs
- ❌ If the Reel page doesn’t contain the expected structured data, some fields may be missing (the actor will still push whatever it can extract)
❓ FAQ
✅ What does Facebook Reels Scraper extract from each Reel?
It extracts fields including caption, hashtags, owner_name, video_id, shareable_url, thumbnail, comment_count, like_count, share_count, reelDateTime, reelDate, and reelDuration, and it also stores the processed source url.
✅ How do I provide Facebook Reel links to the actor?
You pass them in the startUrls input. You can provide each entry as an object with a url property or pass a list of plain URL strings—both are supported.
✅ Does it support scraping multiple reels in one run?
Yes. startUrls is an array, so you can submit one or many Facebook Reel URLs in a single execution.
✅ Where can I find the scraped results after the run?
The actor saves results to the default dataset “Scraped Reels”, with a table view of the extracted Reel fields.
❌ Does Facebook Reels Scraper require any login?
This actor is designed to scrape publicly available sources from the provided Reel URLs; it doesn’t require you to provide account credentials in the input schema.
💻 Can I use the output in Excel or Google Sheets?
Yes. After the run, export the dataset from Apify as JSON or CSV, then import it into your preferred spreadsheet tool.
⚖️ Is this tool legal and compliant?
It collects information only from publicly available sources. You are responsible for ensuring your use complies with applicable laws (including GDPR/CCPA where relevant) and the platform’s terms and policies.
🔁 Why might some fields be empty for certain reels?
Some reels may not contain all fields in the underlying publicly available structured data the actor looks for, so values like thumbnail, reelDateTime, or reelDuration may be missing depending on what’s available.
🤝 Support & feature requests
Have feedback on Facebook Reels Scraper or want improvements to your “Facebook reels scraper” workflow? We’d love to hear from you.
- 💡 Feature Requests: If you want enhancements such as additional fields, alternative export formats, or improved batch handling, share what you need.
- 📧 Contact: Email us at dataforleads@gmail.com.
Your input helps shape future updates to Facebook reels video scraper tool capabilities.
Get started today with the most comprehensive Facebook Reels Scraper—and export clean metadata in minutes.
Disclaimer
This tool only accesses publicly accessible sources based on the Facebook Reel URLs you provide. It does not access private profiles, authenticated content, or password-protected pages.
You are responsible for complying with applicable laws (including GDPR/CCPA where relevant), spam regulations, and platform terms of service. For data removal requests, contact dataforleads@gmail.com.
Please use Facebook Reels Scraper responsibly, ethically, and for legitimate purposes only.