Facebook Post Comments Scraper — Facebook | Lagic

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Overview

This tool extracts comments from any public Facebook post, including the commenter's name, profile image, comment text, reaction count, and reply information, for in-depth audience analysis and sentiment tracking.

## Get to know your audience through their comments Understanding what people are saying about your content, products, or brand on Facebook is crucial for any marketing or community management strategy. This Facebook Post Comments Scraper provides a structured dataset of comments from any specified public Facebook post, giving you direct access to audience insights. ### What data you get For each comment, you'll receive key details such as the full comment text, the exact time it was posted, and how many reactions it received. More than just the comment itself, you'll also get rich information about the **author**, including their name, a link to their profile (if available), and their profile image. This allows you to identify key influencers, track active community members, or even detect potential spam accounts. ### Understand conversation depth The tool also captures the **depth** of each comment, indicating whether it's a top-level comment or a reply within a conversation thread. The `parent_comment_id` field helps reconstruct full conversations, letting you follow discussions and understand context. You'll also see the `replies_count` for each comment, giving you a quick overview of engagement on individual comments. ### Media in comments If comments include media, the tool indicates whether it's a GIF or a sticker, with dedicated fields like `is_gif` and `is_sticker` to help you filter and analyze multimedia engagement. This can be particularly useful for understanding visual communication trends within your audience. ### Applications for your business Whether you're a brand manager monitoring sentiment, a content creator evaluating audience reception, or an agency performing competitive analysis, the structured output from this scraper provides the foundation for data-driven decisions. Instead of manually sifting through thousands of comments, you get a clean, exportable dataset ready for analysis in spreadsheets, databases, or reporting tools.