Facebook Post Scraper — Facebook | Lagic

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Overview

Extract rich metadata from any public Facebook post, including reaction counts, share numbers, comment counts, and details about attached images or videos. Ideal for competitive analysis, content performance benchmarking, and social media research.

### Understand Your Facebook Content Performance This tool specializes in extracting comprehensive engagement and media data from individual public Facebook posts. By simply providing a post's URL, you gain access to a structured dataset that reveals how well the content is performing and what media assets are driving interaction. This is crucial for marketers, content strategists, and researchers looking to understand Facebook's dynamic environment. ### What Data You Get The scraper delivers a detailed breakdown of a post's performance and characteristics. You'll see the total number of likes and a granular count for different reaction types (e.g., 'Love', 'Haha', 'Wow'). Crucially, it provides the total number of comments and shares, offering a direct measure of audience interaction and virality. For posts featuring media, you'll receive URLs for attached images or videos, including video lengths and thumbnail URLs, allowing for analysis of media types that resonate most. Beyond engagement metrics, the tool captures vital contextual information about the post's origin. This includes the date and time it was published, the URL of the page that posted it, the page's follower count, and whether the page is verified. You'll also learn if the post is sponsored, which is key for competitive advertising insights. While it focuses on these rich metadata points, it's important to note that the tool currently does not extract the actual text content of the post or any associated hashtags. ### Who Benefits? Anyone needing to track specific Facebook content without manual collection will find this tool invaluable. Marketing agencies can monitor client campaigns or competitor strategies. Brand managers can assess the impact of their content and identify top-performing creative elements. Researchers can gather data for sentiment analysis (based on reactions) or study trends in media usage on the platform.