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Facebook Post Comments API

Scrape Facebook Post Comments data with one API call. Returns a list of comments on a specific Facebook post. Each comment includes the author name, comment text, like count, reply count, and creation timestamp.

Last updated October 2026Maintained by the SocialCrawl team

Returns comments on a Facebook post, each with the commenter's name, comment text, like count, reply count, and creation time.

Use it to read a post's discussion; it also returns the feedback_id and expansion_token that post/comment/replies needs.

Searching 68 platforms in parallel

·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
Facebook API

What can you do with the Post Comments API?

The Post Comments endpoint gives you structured Facebook data with computed fields in a single request. No scraping infrastructure to build or maintain.

Example Request

curl -H "x-api-key: YOUR_API_KEY" \
  "https://www.socialcrawl.dev/v1/facebook/post/comments?url=https%3A%2F%2Fwww.facebook.com%2FMeta%2Fvideos%2Fa-slightly-life-changing-story%2F1459847961114516%2F&label=purchase_intent"
import requests

response = requests.get(
    "https://www.socialcrawl.dev/v1/facebook/post/comments",
    params={
    'url': 'https://www.facebook.com/Meta/videos/a-slightly-life-changing-story/1459847961114516/',
    'label': 'purchase_intent',
    },
    headers={"x-api-key": "YOUR_API_KEY"},
)

data = response.json()
const response = await fetch(
  "https://www.socialcrawl.dev/v1/facebook/post/comments?url=https%3A%2F%2Fwww.facebook.com%2FMeta%2Fvideos%2Fa-slightly-life-changing-story%2F1459847961114516%2F&label=purchase_intent",
  {
    headers: { "x-api-key": "YOUR_API_KEY" },
  },
);

const data = await response.json();

Parameters worth sending

  • label=purchase_intent Marks each comment that shows buying intent, at no extra credits; sentiment, question and complaint are free too.

Parameters

ParameterRequiredDescription
urlNoFull URL of the Facebook post to fetch comments for
feedback_idNoUsing feedback_id (instead of url) will *really* speed up the request. You can get the feedback_id when you make a request to /v1/facebook/post.
cursorNoCursor to get more comments. Get 'cursor' from previous response.
labelNoOptional CSV of SocialCrawl labels to add to every comment: sentiment, spam, question, purchase_intent, complaint, toxic, low_quality, injection. Without this param every page already carries sentiment, question, purchase_intent and complaint, free; label= adds the labels you name to them (the defaults keep running). Each comment gains computed.labels with probabilities (0 to 1), so you choose the cut-off; a comment that could not be judged carries labels: null. sentiment, question, purchase_intent and complaint are free when asked for too; spam, toxic, low_quality and injection add 1 credit per started 25 newly judged comments (comments already labelled for anyone are free, and so is a cached page). injection flags text that addresses an AI system and tries to direct it (flagged, p); it never drops or rewrites a row. judgments=off (or label=none) turns the default labels off. data.labels reports what was judged and billed.
excludeNoOptional CSV (spam, low_quality), only with the same preset in label. Drops comments whose probability is 0.8 or higher and lists their ids in data.labels.dropped_ids. A comment that could not be judged is never dropped.
judgmentsNoOptional, on (the default) or off. By default every row gains free SocialCrawl judgments (computed.labels, and computed.relevance on search endpoints), reported in data.labels (mode default) and data.relevance (origin default), each with a status (complete, partial or skipped) and pending: the rows still being judged when the page was sent, which carry null now and are filled on your next call or cached read. Default judgments never add credits, never change an existing field, and never drop or reorder a row. off returns the page exactly as before, with none of those keys. label=none does the same. (on | off)
dry_runNoOptional. When 1, return a cost preview for this labelled or relevance-filtered request without fetching the page or judging any row. data.estimate reports rows_expected, rows_cached, label_credits_min, label_credits_max and base_credits. 0 credits charged. (1)
label_evidenceNoOptional, only with label=. When 1, every labelled row also carries computed.labels_evidence.<preset> = { quote, sentence_index }: the sentence in the row that most clearly shows the label, copied verbatim. Absent or null when no single sentence shows it. (1)
fitNoOptional. When goal, keep the rows and fields needed for the goal you pass in goal= (plus any that are uncertain, and the first and last), and replace the rest with a stub. data.held_back lists the held ids and a recall id that re-reads the full page from cache at no extra charge. Without this param the page is unchanged. (goal)
goalNoRequired by fit=goal. What you are trying to do, in your own words, up to 300 characters.
fit_tokensNoOptional, only with fit=goal. Soft cap on how much of the page to keep, in tokens. Uncertain blocks and the first and last block are kept even if they exceed it.
sinceNoOnly rows published on or after this date: YYYY-MM-DD (midnight UTC) or an ISO 8601 timestamp. Rows older than it are left off each page. This list is not in date order, so the walk does not stop at the date: keep following `next_cursor`, and each page costs what a page costs even when every row on it is filtered out. A row with no date is kept. `published_after`, `start_date`, `from_date`, `publish_time` (`yesterday`, `this-week`, `this-month`, `last-3-months`, `last-6-months`) and `max_age_days` are accepted and applied as `since`.
untilNoOnly rows published on or before this date: YYYY-MM-DD (that whole UTC day is included) or an ISO 8601 timestamp. Newer rows are left off each page and the walk does not stop, so older pages follow. A row with no date is kept. `published_before`, `end_date` and `to_date` are accepted and applied as `until`.
Example Response

What does the Facebook Post Comments API return?

Every response follows one unified schema. Here is a real, unmodified response body, so you can see the exact fields you get back before spending a credit.

Example response
{
  "success": true,
  "platform": "facebook",
  "endpoint": "/v1/facebook/post/comments",
  "data": {
    "items": [
      {
        "comment": {
          "id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTMyNTQ3NDgxNTk0OTk2",
          "url": null,
          "parent_id": null,
          "post_id": "563063328588597",
          "text": "Sample comment text (redacted).",
          "author": {
            "username": "user_add51c",
            "display_name": "user_3d0e68",
            "avatar_url": "https://example.com/avatars/user_f59eee.png",
            "verified": null
          },
          "engagement": {
            "likes": 0,
            "replies": 3
          },
          "flags": {
            "pinned": null,
            "deleted": false
          },
          "published_at": "2022-04-13T02:26:17.000Z",
          "ext": {
            "feedback_id": "ZmVlZGJhY2s6NTYzMDYzMzI4NTg4NTk3XzUzMjU0NzQ4MTU5NDk5Ng==",
            "expansion_token": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
            "reaction_counts": null
          }
        },
        "computed": {
          "language": null,
          "labels": {
            "sentiment": {
              "level": 3,
              "score_0_1": 0.77,
              "confidence": 0.94
            },
            "question": {
              "p": 0.02
            },
            "purchase_intent": {
              "p": 0.02
            },
            "complaint": {
              "p": 0.02
            }
          }
        }
      },
      {
        "comment": {
          "id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcwNjY2Nzk0NDk0OTE3",
          "url": null,
          "parent_id": null,
          "post_id": "563063328588597",
          "text": "Sample comment text (redacted).",
          "author": {
            "username": "user_c5097a",
            "display_name": "user_edb910",
            "avatar_url": "https://example.com/avatars/user_606f32.png",
            "verified": null
          },
          "engagement": {
            "likes": 0,
            "replies": 1
          },
          "flags": {
            "pinned": null,
            "deleted": false
          },
          "published_at": "2022-04-13T04:09:36.000Z",
          "ext": {
            "feedback_id": "ZmVlZGJhY2s6NTYzMDYzMzI4NTg4NTk3XzU3MDY2Njc5NDQ5NDkxNw==",
            "expansion_token": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
            "reaction_counts": null
          }
        },
        "computed": {
          "language": null,
          "labels": {
            "sentiment": {
              "level": 4,
              "score_0_1": 1,
              "confidence": 1
            },
            "question": {
              "p": 0.02
            },
            "purchase_intent": {
              "p": 0.02
            },
            "complaint": {
              "p": 0.02
            }
          }
        }
      }
    ],
    "next_cursor": "sc2.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",
    "total": null,
    "labels": {
      "presets": [
        "sentiment",
        "question"
      ],
      "rows": 10,
      "labelled": 10,
      "cached": 10,
      "skipped": 0,
      "unjudged": 0,
      "dropped": 0,
      "dropped_ids": [],
      "extra_credits": 0,
      "methodology_version": "labels/1",
      "mode": "default",
      "status": "complete",
      "pending": 0,
      "pending_ids": []
    },
    "label_share": {
      "policy_version": "share/1",
      "presets": {
        "question": {
          "n": 10,
          "counted": 2,
          "abstained": 0,
          "share": null,
          "low": 0.0686,
          "high": 0.4592,
          "receipts": [
            {
              "id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcwNjk2MzY3ODI1Mjkz",
              "text": "Sample comment text (redacted)."
            },
            {
              "id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcyODE1MzMwOTQ2NzMw",
              "text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted)."
            }
          ],
          "policy_version": "share/1",
          "too_few": true,
          "at_cut": 2,
          "nulls": 0,
          "low_confidence": 0
        },
        "purchase_intent": {
          "n": 10,
          "counted": 0,
          "abstained": 0,
          "share": 0,
          "low": 0,
          "high": 0.2129,
          "receipts": [],
          "policy_version": "share/1",
          "too_few": false,
          "at_cut": 0,
          "nulls": 0,
          "low_confidence": 0
        },
        "complaint": {
          "n": 10,
          "counted": 2,
          "abstained": 0,
          "share": null,
          "low": 0.0686,
          "high": 0.4592,
          "receipts": [
            {
              "id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcyNDQ5OTM0MzE2NjAz",
              "text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted)."
            },
            {
              "id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcyODE1MzMwOTQ2NzMw",
              "text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted)."
            }
          ],
          "policy_version": "share/1",
          "too_few": true,
          "at_cut": 2,
          "nulls": 0,
          "low_confidence": 0
        },
        "sentiment": {
          "positive": {
            "n": 10,
            "counted": 5,
            "abstained": 1,
            "share": null,
            "low": 0.3035,
            "high": 0.782,
            "receipts": [
              {
                "id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTMyNTQ3NDgxNTk0OTk2",
                "text": "Sample comment text (redacted)."
              },
              {
                "id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcwNjY2Nzk0NDk0OTE3",
                "text": "Sample comment text (redacted)."
              }
            ],
            "policy_version": "share/1",
            "too_few": true,
            "at_cut": 5,
            "nulls": 0,
            "low_confidence": 1
          },
          "neutral": {
            "n": 10,
            "counted": 2,
            "abstained": 1,
            "share": null,
            "low": 0.0765,
            "high": 0.4964,
            "receipts": [
              {
                "id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcwNjk2MzY3ODI1Mjkz",
                "text": "Sample comment text (redacted)."
              },
              {
                "id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcyODE1MzMwOTQ2NzMw",
                "text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted)."
              }
            ],
            "policy_version": "share/1",
            "too_few": true,
            "at_cut": 2,
            "nulls": 0,
            "low_confidence": 1
          },
          "negative": {
            "n": 10,
            "counted": 2,
            "abstained": 1,
            "share": null,
            "low": 0.0765,
            "high": 0.4964,
            "receipts": [
              {
                "id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcxMjE0MDU0NDQwMTkx",
                "text": "Sample comment text (redacted)."
              },
              {
                "id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcyNDQ5OTM0MzE2NjAz",
                "text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted)."
              }
            ],
            "policy_version": "share/1",
            "too_few": true,
            "at_cut": 2,
            "nulls": 0,
            "low_confidence": 1
          }
        }
      }
    },
    "comment_language": {
      "policy_version": "share/1",
      "n": 10,
      "abstained": 0,
      "judged_by": {
        "script": 0,
        "choice": 10
      },
      "shares": {
        "en": {
          "n": 10,
          "counted": 10,
          "abstained": 0,
          "share": 1,
          "low": 0.7871,
          "high": 1,
          "receipts": [
            {
              "id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTMyNTQ3NDgxNTk0OTk2",
              "text": "Sample comment text (redacted)."
            },
            {
              "id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcwNjY2Nzk0NDk0OTE3",
              "text": "Sample comment text (redacted)."
            }
          ],
          "policy_version": "share/1",
          "too_few": false
        }
      }
    },
    "comment_recency": {
      "policy_version": "d09-1",
      "n": 10,
      "counted": 10,
      "abstained": 0,
      "share_last_24h": 0,
      "share_later_half": null,
      "too_few": false,
      "stage": "unknown",
      "order": "default",
      "recent_share_is_floor": true,
      "receipts": []
    },
    "dropped": 0
  },
  "credits_used": 1,
  "request_id": "req_example000000",
  "cached": false,
  "pagination": {
    "next_cursor": "sc.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",
    "has_more": true,
    "page_size": 10
  },
  "credits_remaining": 9999,
  "source": "captured",
  "captured_at": "2026-10-02T15:36:44.338Z",
  "redacted": true
}

Live sample illustrating the unified response shape. Field values reflect the record you query.

API Details

How does the Facebook Post Comments API work?

Send a GET request with your API key and get back clean, structured JSON in our unified schema. Supported computed fields are populated when the source provides the required inputs.

Method

GET

Response

JSON

Why SocialCrawl

Why use SocialCrawl for Facebook Post Comments data?

We handle the complexity of Facebook data extraction so you can focus on building. Unified schema, AI enrichment, and zero platform logic in your code.

Developer First

How do you scrape social media data in seconds?

The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 68 platforms covering 10B+ monthly active users.

One schema, every platform

Query 68 platforms with identical response structures. Write your integration once.

Computed fields, not just scraped

When an endpoint supports these metrics and the source provides the required inputs, the normalized record includes engagement_rate, estimated_reach, content_category, and language. Ready to use.

See your data before you code

Visual Data Explorer. Paste any URL, get rich result cards, sortable tables, CSV export.

import requests

response = requests.get(
    'https://www.socialcrawl.dev/v1/tiktok/profile',
    params={'handle': 'charlidamelio'},
    headers={'x-api-key': 'sc_YOUR_API_KEY'}
)
data = response.json()
[ .JSON ]
{
  "success": true,
  "platform": "tiktok",
  "data": {
    "author": {
      "username": "charlidamelio",
      "followers": 152400000
    },
    "engagement": {
      "likes": 12400000000,
      "engagement_rate": 0.087
    },
    "metadata": {
      "language": "en",
      "content_category": "lifestyle"
    }
  }
}
+ 68 platforms
FAQ

Have a question? We got answers

Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.

Contact us
How do I get comments from a Facebook post?
Send a GET request to /v1/facebook/post/comments with either the post url or a feedback_id. SocialCrawl returns a comment array with author name, comment text, like count, reply count, and creation timestamp.
What is feedback_id and why should I use it?
feedback_id is Facebook's internal identifier for a post's comment thread. Calling /v1/facebook/post/comments with feedback_id is significantly faster than url. You get feedback_id from the /v1/facebook/post response.
How many comments can I paginate through?
Use the cursor parameter to walk through the full comment list. Each response includes a cursor for the next page. Keep calling until the cursor is empty. SocialCrawl handles the pagination tokens for you.
Are comment replies included?
The endpoint returns top-level comments with a reply count for each. Nested reply threads are not expanded inline. Use the reply count to decide which threads are worth a separate request for deeper analysis.
Can I use this endpoint for sentiment analysis?
Yes. Each comment comes with its raw text, author, and like count. Feed it directly into an LLM or classifier. Combine with /v1/facebook/post for reactions breakdown and full post context.

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