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from $1.50 / 1,000 reviews

Facebook Reviews Scraper✨

✨ Scrape Facebook reviews from usernames, Page URLs, or direct reviews links. Output includes review ID, permalink, date, recommendation status, review text, tags, likes, comments, reviewer details, nested comments, replies, page URL and ID, and source context ✨ Facebook Reviews Scraper 🔍

Pricing

from $1.50 / 1,000 reviews

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0.0

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Premium Scraper

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Monthly active users

6 days ago

Last modified

Facebook Reviews Scraper ✨

Facebook Reviews Scraper collects public Facebook review rows from usernames, page or profile URLs, and direct /reviews URLs.

Facebook Reviews Scraper is designed for public data only. Facebook Reviews Scraper resolves inputs to the public reviews tab, paginates the public review feed, enriches each review with optional public comments and replies, and exports a clean structured dataset row with the most important review fields first.

📥 Facebook Reviews Scraper Supported Input

Facebook usernames such as copperkettleyqr
Base page or profile URLs such as https://www.facebook.com/copperkettleyqr
Direct reviews URLs such as https://www.facebook.com/copperkettleyqr/reviews
Public /people/.../<numeric-id>/ profile URLs

URL-form inputs are normalized to the matching public /reviews tab before scraping starts, and exported inputUrl values use that resolved /reviews URL.

Example input:

{
  "username": ["copperkettleyqr"],
  "facebook_urls": [
    { "url": "https://www.facebook.com/copperkettleyqr" },
    { "url": "https://www.facebook.com/copperkettleyqr/reviews" }
  ],
  "max_reviews": 10,
  "include_review_comments": true,
  "comments_limit": 10,
  "include_comment_replies": true,
  "comment_replies_limit": 10,
  "comment_filter": "most_relevant",
  "proxyCountry": "US"
}

📦 Facebook Reviews Scraper Output Design

Each dataset row represents one public review.

The export is intentionally split into four parts:

The input field first: inputUrl or inputUsername
A large set of top-level review fields and review detail blocks
A top-level comments block with top-level comments and nested replies
A final sourceDetails block with page and profile context

🔝 Facebook Reviews Scraper Top-Level Fields

These are the most important fields promoted to the top level of each row. They are exported first in a stable order so the dataset starts with the review summary before the comment tree and source context.

Field	Meaning
`type`	Constant row type, currently `review`
`inputUrl`	Resolved `/reviews` URL when the source started as a URL
`inputUsername`	Username input when the source started as a username
`facebookUrl`	Resolved public page or profile URL
`facebookId`	Public page or profile ID
`pageName`	Source username when available, otherwise the public source name
`pageAdLibrary`	Public page ad-library block when Facebook exposes it
`ratingSignals`	Public rating and review counters when Facebook exposes them
`id`	Story-level Facebook identifier for the review payload
`legacyId`	Main legacy numeric review identifier
`url`	Public permalink of the review story
`date`	Review creation timestamp in ISO format with milliseconds
`isRecommended`	`true`, `false`, or `null`, derived from Facebook's own public review title statement
`text`	Main review text
`tags`	Recommendation tags such as `Cosy atmosphere` when present
`likesCount`	Total public reaction count for the review when available
`commentsCount`	Total public top-level comment count signal
`shareCount`	Total public share count for the review when available
`reactionCountReduced`	Reduced reaction count text when Facebook exposes shortened notation
`shareCountReduced`	Reduced share count text when Facebook exposes shortened notation
`matchedFragmentCount`	Number of merged fragments that formed the final review row
`reviewType`	Facebook story type, usually `Story`
`isFeedUnit`	Feed-unit type marker exposed by Facebook
`isTrackableFeedUnit`	Trackable feed-unit type marker exposed by Facebook
`canViewerSeeMenu`	Public menu visibility flag when Facebook exposes it
`shouldHostActorLinkInWatch`	Story rendering flag when Facebook exposes it
`cacheId`	Facebook cache ID exposed with the public review payload
`wwwUrl`	Public web URL exposed by Facebook for the review story
`attachmentTypes`	Attachment type list detected for the review
`attachmentCount`	Total attachment count
`photoAttachmentCount`	Photo attachment count
`videoAttachmentCount`	Video attachment count
`imageUrls`	Main image URLs surfaced from review media payloads
`user`	Public author block with `id`, `name`, `profileUrl`, and `profilePic`
`reviewEngagement`	Grouped reaction, comment, and share signals
`reviewMedia`	Grouped review media summary and full media details
`reviewRecommendation`	Recommendation tags and recommendation attachment metadata
`reviewAllDetails`	Rich sanitized review-only payload details such as attachments, feedback, actors, sections, and other non-sensitive story fields
`source_row_number`	Review position in the collected public reviews sequence for the source
`comments`	Top-level comment block with returned comments and nested replies
`collection_debug`	Collection metadata such as requested limit, returned count, enabled comment options, and stop reason
`sourceDetails`	Final grouped source block with the reviewed page or profile details

🧩 Facebook Reviews Scraper Output Order Walkthrough

Each exported row is intentionally ordered so the most useful review fields appear first.

number Sequential row number added when the actor pushes data.
inputUrl or inputUsername The original input field appears first.
type Always review.
facebookUrl, facebookId, pageName, pageAdLibrary, ratingSignals, then id, legacyId, url, date, isRecommended, text, tags, likesCount, commentsCount, shareCount, user Main review summary fields.
Review detail fields and detail blocks such as reviewEngagement, reviewMedia, reviewRecommendation, and reviewAllDetails Rich review-only details stay above the comment tree.
source_row_number The review position for the current source.
comments The nested comment and reply tree.
collection_debug Run-level context for the collected review.
sourceDetails Source page or profile details are grouped last.

🧷 Facebook Reviews Scraper Compatibility Alias Fields

The actor exports the exact compatibility fields below and places the review-focused aliases near the top of every row.

Field	Meaning
`id`	Story-level review identifier
`legacyId`	Main legacy numeric review identifier
`user`	Review author block with `id`, `name`, `profileUrl`, and `profilePic`
`date`	Review timestamp in ISO format with milliseconds
`url`	Public review permalink without a trailing slash
`isRecommended`	`true`, `false`, or `null`, derived from Facebook's own public review title statement
`text`	Main review text
`tags`	Public recommendation tags when Facebook exposes them
`likesCount`	Total public reaction count
`commentsCount`	Total public top-level comment count signal
`inputUrl`	Resolved `/reviews` URL without a trailing slash

📝 Facebook Reviews Scraper Output Field Details

Facebook Reviews Scraper returns a review-first dataset row, and this section explains what each field gives you and how to use it.

Input fields

inputUrl: the resolved public /reviews URL when the source started as a URL
inputUsername: the original username input when the source started as a username

Source alias fields

facebookUrl: resolved public page or profile URL for the reviewed source
facebookId: public page or profile ID for the reviewed source
pageName: source username when available, otherwise the source display name
pageAdLibrary: compact public ad-library block when Facebook exposes it
ratingSignals: public counters such as review count or rating count when Facebook exposes them

Review summary fields

id: story-level review ID
legacyId: numeric legacy review ID
url: public review permalink
date: review timestamp in ISO format with milliseconds
isRecommended: true, false, or null from Facebook's own review title wording
text: main review text
tags: recommendation tags such as Fast delivery or Cosy atmosphere
likesCount: total public reaction count available for the review
commentsCount: total public top-level comment count signal for the review
shareCount: total public share count signal for the review
user: reviewer block with id, name, profileUrl, and profilePic

Review detail blocks

reviewEngagement: grouped reactions, comments, and shares
reviewMedia: grouped media summary and full media items
reviewRecommendation: recommendation tags plus recommendation attachment details
reviewAllDetails: the rich sanitized review-only payload with extra story sections, actors, attachments, feedback, and other review metadata
source_row_number: review position for that source inside the returned public review sequence

Comments and source grouping

comments: public comment collection metadata and nested returned comments
collection_debug: collection metadata such as requested max reviews, returned count, stop reason, and enabled comment settings
sourceDetails: grouped source page or profile details such as page URL, reviews URL, page ID, username, image, description, and ad-library data

📚 Facebook Reviews Scraper `reviewAllDetails` Block

reviewAllDetails keeps the deeper sanitized review-only payload in one place.

Field	Meaning
`reviewAllDetails.feedback`	Public feedback tree details exposed with the review
`reviewAllDetails.attachments`	Full sanitized attachment structures for the review
`reviewAllDetails.actors`	Public actor list from the review story
`reviewAllDetails.comet_sections`	Rich sanitized story section payloads exposed by Facebook
`reviewAllDetails.message`	Additional message structures when Facebook exposes them
`reviewAllDetails.future_of_feed_info`	Story rendering metadata when Facebook exposes it

💬 Facebook Reviews Scraper `comments` Block

comments keeps the full returned comment tree in one place.

Field	Meaning
`comments.enabled`	Whether comment collection was enabled for this run
`comments.collection_status`	Human-readable status of the comment collection step
`comments.request`	Requested-versus-returned comment summary
`comments.counts`	Visible, hidden, returned, and signaled comment counts
`comments.selected_filter`	Active public comment ordering details
`comments.top_level_comments`	Returned top-level comments with nested `replies`

🗂️ Facebook Reviews Scraper Comment And Reply Structure

comments contains both collection metadata and the actual nested discussion rows.

Main fields inside comments:

enabled: whether comment collection was enabled for this run
collection_status: human-readable status of the comment collection step
request: requested-versus-returned summary for comments
counts: visible, hidden, returned, and signaled comment counts
selected_filter: active Facebook comment ordering details
top_level_comments: array of returned top-level comment rows

Each item inside comments.top_level_comments can include:

comment_id: comment identifier
comment_legacy_fbid: legacy numeric Facebook comment ID when available
parent_comment_id: present for reply rows
depth: 0 for top-level comments and 1 or more for nested replies
created_at: comment or reply timestamp
message_text: comment or reply text
comment_links: public comment permalink links when available
author: public author details
engagement: reaction and reply-count details for that comment or reply
attachments: media or attachment details for the comment or reply
reply_collection: request-versus-returned metadata for reply collection under that comment
replies: nested reply rows for that comment, always present as a list even when empty

🧭 Facebook Reviews Scraper `sourceDetails` Block

sourceDetails is placed last in each row and groups all reviewed page or profile details in one place.

Field	Meaning
`sourceDetails.facebookUrl`	Resolved public page or profile URL
`sourceDetails.reviewsUrl`	Resolved public `/reviews` URL used by the scraper
`sourceDetails.facebookId`	Public page or profile ID
`sourceDetails.pageName`	Source username when available, otherwise the source display name
`sourceDetails.pageDisplayName`	Source display name
`sourceDetails.pageUsername`	Source username from the resolved page URL
`sourceDetails.pageImage`	Source profile or page image
`sourceDetails.pageDescription`	Source description or bio summary
`sourceDetails.pageCategory`	Source page category when Facebook exposes it
`sourceDetails.pageAdLibrary`	Public page ad-library block when Facebook exposes it
`sourceDetails.ratingSignals`	Public rating signals exposed by Facebook

🌐 Facebook Reviews Scraper Public Availability Limits

Missing fields do not always indicate a parser defect. Facebook can hide or omit public review, comment, or reply data depending on the source page, the specific review, the selected filter, region, and request timing.

Common examples:

Some pages do not expose a public /reviews tab at all and return HTTP 404
Some pages visibly show a larger overall opinion count than the logged-out public reviews feed will actually paginate through
Some visible reviews expose zero public comments
Some comments expose zero public replies even when a reply-count signal exists
Some source pages expose no public rating signals

🧾 Facebook Reviews Scraper Example Output Shape

Facebook Reviews Scraper outputs the input first, then the review fields, then comments, and finally sourceDetails.

{
    "number": 11,
    "inputUrl": "https://www.facebook.com/copperkettleyqr/reviews",
    "facebookUrl": "https://www.facebook.com/copperkettleyqr",
    "facebookId": "100064027242849",
    "pageName": "copperkettleyqr",
    "pageAdLibrary": {
      "id": "851606664870954",
      "pamv_comms_data": null,
      "is_business_page_active": false
    },
    "type": "review",
    "id": "UzpfSTE2NjM3ODUyMzQ6MTAyMjExMTQ2MTA3NjkyNTg6MTAyMjExMTQ2MTA3NjkyNTg=",
    "legacyId": "10221114610769258",
    "url": "https://www.facebook.com/Mrs.C.75/posts/pfbid02P7EakyKr6qM7rxvq4eQjC99uQEs5SSdFgueAEzhMbU6eBamj13CFSum2NPo8nzsEl",
    "date": "2020-11-20T03:36:56.000Z",
    "isRecommended": true,
    "text": "Today is 19-Nov-2020, this is our Wedding Anniversary. We ordered our supper from Coper Kettle. There was some confusion, as in this crazy new world, nothing is easy anymore. Thank you Anna and staff for a great meal, and fixing the errors, and in the end being great about it. I hope that your restaurant is blessed with lasting longevity through the horrors of this pandemic.",
    "tags": [
      "Fine dining"
    ],
    "likesCount": 1,
    "commentsCount": 1,
    "shareCount": 0,
    "reactionCountReduced": "1",
    "shareCountReduced": "0",
    "matchedFragmentCount": 2,
    "reviewType": "Story",
    "isFeedUnit": "Story",
    "isTrackableFeedUnit": "Story",
    "canViewerSeeMenu": false,
    "shouldHostActorLinkInWatch": false,
    "cacheId": "6639143496316210584",
    "wwwUrl": "https://www.facebook.com/Mrs.C.75/posts/pfbid02P7EakyKr6qM7rxvq4eQjC99uQEs5SSdFgueAEzhMbU6eBamj13CFSum2NPo8nzsEl",
    "attachmentTypes": [
      "TaggableActivityIcon"
    ],
    "attachmentCount": 0,
    "photoAttachmentCount": 0,
    "videoAttachmentCount": 0,
    "imageUrls": [
      "https://static.xx.fbcdn.net/rsrc.php/ys/r/-61vb0CD5jT.webp"
    ],
    "user": {
      "id": "pfbid02aX3kZ92624ht94UDVhPXB7L61a77zGw689zd52PmriYEwbdFsia17hgT4EZugrdTl",
      "name": "Lois Clark",
      "profilePic": "https://scontent-det1-1.xx.fbcdn.net/v/t39.30808-1/274525438_10223909674684109_5611040046005575179_n.jpg?stp=cp0_dst-jpg_s50x50_tt6&_nc_cat=107&ccb=1-7&_nc_sid=e99d92&_nc_ohc=6PLLe8ADJmoQ7kNvwGN_otw&_nc_oc=AdpX_vGGRTp3y0_zPSBAPw7bnkqmUw6OCYicB6ObvZoN9w4NDW73T3A9huLaIoe5MOk&_nc_zt=24&_nc_ht=scontent-det1-1.xx&_nc_gid=mJQ143NtXSUAjg5tIoKL7g&_nc_ss=7b289&oh=00_Af5EnttWPeb_7s7OmGBWDfNRIDRTIAddIt3sQ-yzGIg2ew&oe=6A04B32B"
    },
    "reviewEngagement": {
      "reactions": {
        "reaction_count_total": 1,
        "reaction_count_reduced": "1"
      },
      "comments": {
        "comment_count_total": 1
      },
      "shares": {
        "share_count_total": 0,
        "share_count_reduced": "0"
      }
    },
    "reviewMedia": {
      "summary": {
        "attachment_types": [
          "TaggableActivityIcon"
        ],
        "attachment_count": 0,
        "photo_attachment_count": 0,
        "video_attachment_count": 0,
        "image_urls": [
          "https://static.xx.fbcdn.net/rsrc.php/ys/r/-61vb0CD5jT.webp"
        ]
      },
      "all_media": [
        {
          "media_id": "1419731201426453",
          "media_type": "TaggableActivityIcon",
          "image_variants": [
            {
              "url": "https://static.xx.fbcdn.net/rsrc.php/ys/r/-61vb0CD5jT.webp",
              "source_field": "image",
              "width": 16,
              "height": 16
            }
          ],
          "image_urls": [
            "https://static.xx.fbcdn.net/rsrc.php/ys/r/-61vb0CD5jT.webp"
          ],
          "thumbnail_variants": [
            {
              "url": "https://static.xx.fbcdn.net/rsrc.php/ys/r/-61vb0CD5jT.webp",
              "source_field": "image",
              "width": 16,
              "height": 16
            }
          ],
          "thumbnail_urls": [
            "https://static.xx.fbcdn.net/rsrc.php/ys/r/-61vb0CD5jT.webp"
          ]
        }
      ]
    },
    "reviewRecommendation": {
      "recommendation_tags": [
        "Fine dining"
      ],
      "style_renderers": [
        "StoryAttachmentPageRecommendationTagsStyleRenderer"
      ]
    },
    "reviewAllDetails": {
      "top_reaction_types": [
        "Love"
      ],
      "top_reaction_labels": [
        "Love ❤️"
      ],
      "top_reactions_breakdown": [
        {
          "reaction_type": "Love",
          "reaction_emoji": "❤️",
          "reaction_label": "Love ❤️",
          "reaction_count": 1,
          "reaction_count_reduced": "1"
        }
      ],
      "feedback": {
        "id": "ZmVlZGJhY2s6MTAyMjExMTQ2MTA3NjkyNTg=",
        "owning_profile": {
          "__typename": "User",
          "name": "Lois Clark",
          "short_name": "Lois",
          "id": "pfbid02aX3kZ92624ht94UDVhPXB7L61a77zGw689zd52PmriYEwbdFsia17hgT4EZugrdTl"
        }
      },
      "attachments": [
        {
          "styles": {
            "__typename": "StoryAttachmentPageRecommendationTagsStyleRenderer",
            "__isStoryAttachmentStyleRendererUnion": "StoryAttachmentPageRecommendationTagsStyleRenderer",
            "is_prod_eligible": true,
            "attachment": {
              "deduplication_key": "00230759b2b67c47d68dcccf89a4f1d2",
              "tags": [
                "Fine dining"
              ]
            },
            "__module_operation_CometFeedStoryAttachmentMatchRenderer_attachment": {
              "__dr": "CometFeedStoryPageRecommendationTagsAttachmentStyle_styleTypeRenderer$normalization.graphql"
            },
            "__module_component_CometFeedStoryAttachmentMatchRenderer_attachment": {
              "__dr": "CometFeedStoryPageRecommendationTagsAttachmentStyle.react"
            }
          }
        }
      ],
      "future_of_feed_info": {
        "should_reverse_message_and_attachment_position": false,
        "should_overlay_header": false,
        "aspect_ratio_update": -1,
        "web_reshare_variant": "NORMAL"
      },
      "comet_sections": {
        "__typename": "CometStorySections",
        "content": {
          "__typename": "CometFeedStoryDefaultContentStrategy",
          "__isICometStorySection": "CometFeedStoryDefaultContentStrategy",
          "is_prod_eligible": true,
          "story": {
            "feedback": {
              "id": "ZmVlZGJhY2s6MTAyMjExMTQ2MTA3NjkyNTg="
            },
            "comet_sections": {
              "message": {
                "__typename": "CometFeedStoryDefaultMessageRenderingStrategy",
                "__isICometStorySection": "CometFeedStoryDefaultMessageRenderingStrategy",
                "is_prod_eligible": true,
                "story": {
                  "is_text_only_story": false,
                  "message": {
                    "text": "Today is 19-Nov-2020, this is our Wedding Anniversary. We ordered our supper from Coper Kettle. There was some confusion, as in this crazy new world, nothing is easy anymore. Thank you Anna and staff for a great meal, and fixing the errors, and in the end being great about it. I hope that your restaurant is blessed with lasting longevity through the horrors of this pandemic."
                  },
                  "id": "UzpfSTE2NjM3ODUyMzQ6MTAyMjExMTQ2MTA3NjkyNTg6MTAyMjExMTQ2MTA3NjkyNTg="
                },
                "__module_operation_CometFeedStoryMessageMatchRenderer_story": {
                  "__dr": "CometFeedStoryDefaultMessageRenderingStrategy_message$normalization.graphql"
                },
                "__module_component_CometFeedStoryMessageMatchRenderer_story": {
                  "__dr": "CometFeedStoryDefaultMessageRenderingStrategy.react"
                }
              },
              "message_container": {
                "__typename": "CometFeedStoryMessageContainerRenderingStrategy",
                "__isICometStorySection": "CometFeedStoryMessageContainerRenderingStrategy",
                "is_prod_eligible": true,
                "story": {
                  "message": {
                    "text": "Today is 19-Nov-2020, this is our Wedding Anniversary. We ordered our supper from Coper Kettle. There was some confusion, as in this crazy new world, nothing is easy anymore. Thank you Anna and staff for a great meal, and fixing the errors, and in the end being great about it. I hope that your restaurant is blessed with lasting longevity through the horrors of this pandemic."
                  },
                  "attachments": [
                    {
                      "style_list": [
                        "page_recommendation_v2",
                        "fallback"
                      ]
                    }
                  ],
                  "id": "UzpfSTE2NjM3ODUyMzQ6MTAyMjExMTQ2MTA3NjkyNTg6MTAyMjExMTQ2MTA3NjkyNTg="
                },
                "__module_operation_CometFeedStoryMessageContainerMatchRenderer_story": {
                  "__dr": "CometFeedStoryMessageContainerRenderingStrategy_messageContainer$normalization.graphql"
                },
                "__module_component_CometFeedStoryMessageContainerMatchRenderer_story": {
                  "__dr": "CometFeedStoryMessageContainerRenderingStrategy.react"
                }
              }
            },
            "attachments": [
              {
                "deduplication_key": "00230759b2b67c47d68dcccf89a4f1d2",
                "target": {
                  "__typename": "PageRecommendationInfo",
                  "id": "10221114610809259"
                },
                "__typename": "StoryAttachment",
                "style_list": [
                  "page_recommendation_v2",
                  "fallback"
                ],
                "styles": {
                  "__typename": "StoryAttachmentPageRecommendationTagsStyleRenderer",
                  "__isStoryAttachmentStyleRendererUnion": "StoryAttachmentPageRecommendationTagsStyleRenderer",
                  "is_prod_eligible": true,
                  "attachment": {
                    "deduplication_key": "00230759b2b67c47d68dcccf89a4f1d2",
                    "tags": [
                      "Fine dining"
                    ]
                  },
                  "__module_operation_CometFeedStoryAttachmentMatchRenderer_attachment": {
                    "__dr": "CometFeedStoryPageRecommendationTagsAttachmentStyle_styleTypeRenderer$normalization.graphql"
                  },
                  "__module_component_CometFeedStoryAttachmentMatchRenderer_attachment": {
                    "__dr": "CometFeedStoryPageRecommendationTagsAttachmentStyle.react"
                  }
                }
              }
            ],
            "post_id": "10221114610769258",
            "actors": [
              {
                "profile_picture": {
                  "uri": "https://scontent-det1-1.xx.fbcdn.net/v/t39.30808-1/274525438_10223909674684109_5611040046005575179_n.jpg?stp=cp0_dst-jpg_s50x50_tt6&_nc_cat=107&ccb=1-7&_nc_sid=e99d92&_nc_ohc=6PLLe8ADJmoQ7kNvwGN_otw&_nc_oc=AdpX_vGGRTp3y0_zPSBAPw7bnkqmUw6OCYicB6ObvZoN9w4NDW73T3A9huLaIoe5MOk&_nc_zt=24&_nc_ht=scontent-det1-1.xx&_nc_gid=mJQ143NtXSUAjg5tIoKL7g&_nc_ss=7b289&oh=00_Af5EnttWPeb_7s7OmGBWDfNRIDRTIAddIt3sQ-yzGIg2ew&oe=6A04B32B"
                },
                "__typename": "User",
                "id": "pfbid02aX3kZ92624ht94UDVhPXB7L61a77zGw689zd52PmriYEwbdFsia17hgT4EZugrdTl",
                "name": "Lois Clark",
                "__isEntity": "User"
              }
            ],
            "message": {
              "__typename": "TextWithEntities",
              "text": "Today is 19-Nov-2020, this is our Wedding Anniversary. We ordered our supper from Coper Kettle. There was some confusion, as in this crazy new world, nothing is easy anymore. Thank you Anna and staff for a great meal, and fixing the errors, and in the end being great about it. I hope that your restaurant is blessed with lasting longevity through the horrors of this pandemic."
            },
            "wwwURL": "https://www.facebook.com/Mrs.C.75/posts/pfbid02P7EakyKr6qM7rxvq4eQjC99uQEs5SSdFgueAEzhMbU6eBamj13CFSum2NPo8nzsEl",
            "id": "UzpfSTE2NjM3ODUyMzQ6MTAyMjExMTQ2MTA3NjkyNTg6MTAyMjExMTQ2MTA3NjkyNTg="
          },
          "__module_operation_CometFeedStoryContentMatchRenderer_story": {
            "__dr": "CometFeedStoryDefaultContentStrategy_content$normalization.graphql"
          },
          "__module_component_CometFeedStoryContentMatchRenderer_story": {
            "__dr": "CometFeedStoryDefaultContentStrategy.react"
          }
        },
        "layout": {
          "__typename": "CometStoryDefaultLayoutStrategy",
          "__isICometStorySection": "CometStoryDefaultLayoutStrategy",
          "is_prod_eligible": true,
          "__module_operation_CometFeedStoryLayoutMatchRenderer_story": {
            "__dr": "CometFeedStoryDefaultLayoutStrategy_layout$normalization.graphql"
          },
          "__module_component_CometFeedStoryLayoutMatchRenderer_story": {
            "__dr": "CometFeedStoryDefaultLayoutStrategy.react"
          }
        },
        "context_layout": {
          "__typename": "CometFeedStoryDefaultContextLayoutStrategy",
          "__isICometStorySection": "CometFeedStoryDefaultContextLayoutStrategy",
          "is_prod_eligible": true,
          "story": {
            "id": "UzpfSTE2NjM3ODUyMzQ6MTAyMjExMTQ2MTA3NjkyNTg6MTAyMjExMTQ2MTA3NjkyNTg=",
            "can_viewer_see_menu": false,
            "comet_sections": {
              "actor_photo": {
                "__typename": "CometFeedStoryActorPhotoStrategy",
                "__isICometStorySection": "CometFeedStoryActorPhotoStrategy",
                "is_prod_eligible": true,
                "story": {
                  "actors": [
                    {
                      "__typename": "User",
                      "__isActor": "User",
                      "id": "pfbid02aX3kZ92624ht94UDVhPXB7L61a77zGw689zd52PmriYEwbdFsia17hgT4EZugrdTl",
                      "__isEntity": "User",
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                "has_commerce_attachment": false,
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                "__module_component_CometFeedStoryActorPhotoSectionMatchRenderer_story": {
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                      "icon_image": {
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                },
                "save_info": {
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        },
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      },
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          "message_text": "Hello Lois! Wow. Thank you for the fantastic review! We wish you a Happy Wedding Anniversary from all of just here at The Copper Kettle Restaurant. We are delighted to hear about your positive experience with us and that you enjoyed your food! We take great pride in providing exceptional service and strive to go above and beyond for our guests. Have a great weekend!",
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              "hidden_reply_count": 0,
              "has_more_replies": false
            }
          },
          "replies": []
        }
      ]
    },
    "collection_debug": {
      "requested_max_reviews": 1000,
      "returned_review_count": 65,
      "stop_reason": "no_more_public_reviews_available",
      "comments_enabled": true,
      "comments_limit": 100,
      "comment_filter": "most_relevant",
      "comment_replies_enabled": true,
      "comment_replies_limit": 100
    },
    "sourceDetails": {
      "facebookUrl": "https://www.facebook.com/copperkettleyqr",
      "reviewsUrl": "https://www.facebook.com/copperkettleyqr/reviews",
      "facebookId": "100064027242849",
      "pageName": "copperkettleyqr",
      "pageDisplayName": "The Copper Kettle Restaurant",
      "pageUsername": "copperkettleyqr",
      "pageImage": "https://scontent-lga3-2.xx.fbcdn.net/v/t39.30808-1/298528699_436705561807015_4191178501684731329_n.jpg?stp=dst-jpg_tt6&cstp=mx320x320&ctp=s320x320&_nc_cat=101&ccb=1-7&_nc_sid=3ab345&_nc_ohc=HaRRYBrQbWwQ7kNvwEVptZ3&_nc_oc=AdqUhjJngd2fjHz16UPvICtrJBcfu8BqYkSbI0a0cHqZgT2qOwM43eObnV0zfrRGuQGVk1lsNVSHYiQIL8LCIhQu&_nc_zt=24&_nc_ht=scontent-lga3-2.xx&_nc_gid=4K4cHIfzFwI2qxHWXHM-Zg&_nc_ss=7b289&oh=00_Af46ECAOJnEof4l0GszuP17_ovn86pu6qDPQeHxT1sMZqw&oe=6A04BD1C",
      "pageDescription": "The Copper Kettle Restaurant, Regina. 3,211 likes · 40 talking about this · 1,136 were here. Longstanding local restaurant. Mediterranean specialties, signature gourmet pizzas (Best of YQR for",
      "pageAdLibrary": {
        "id": "851606664870954",
        "pamv_comms_data": null,
        "is_business_page_active": false
      }
    }
}

Scrape Facebook Page Reviews by Page ID - Cookieless

patient_discovery/facebook-page-reviews

Extract Facebook page reviews without login or cookies. Get ratings, recommendation status, review text, reactions, photos, and reviewer profiles in JSON or CSV. Ideal for sentiment analysis, reputation monitoring, competitive intelligence, and customer feedback research at scale.

Surge Street

Facebook Reviews Scraper

api-empire/facebook-reviews-scraper

Facebook Reviews Scraper extracts reviews from any public Facebook page. Capture reviewer names, ratings, comments, timestamps, and sentiment details. Ideal for brand monitoring, customer analysis, market research, and workflows that need clean structured review data.

API Empire

Facebook Reviews Scraper

parseforge/facebook-reviews-scraper

Scrape reviews from any Facebook page. Get review text, recommendation status, reviewer profiles, engagement metrics, tags, and page-level stats. Supports multi-page runs with automatic pagination. No login required. Export to JSON, CSV, or connect via integrations.

ParseForge

Facebook Reviews Scraper

simpleapi/facebook-reviews-scraper

Facebook Reviews Scraper extracts reviews from Facebook Pages, capturing reviewer names, ratings, comments, timestamps, and helpfulness details. Ideal for sentiment analysis, brand monitoring, customer research, and automating structured Facebook review data collection at scale.

SimpleAPI

Facebook Reviews Scraper

scraply/facebook-reviews-scraper

⭐ Facebook Reviews Scraper extracts public Facebook Page reviews — ratings, review text, reviewer, date, photos, reactions & owner replies. 📊 Export CSV/JSON for sentiment, CX, social proof, or competitor research. 🚀 Ideal for marketers, agencies & local SEO.

Scraply

Facebook Reviews Scraper

scrapier/facebook-reviews-scraper

Scrape Facebook page reviews with the Facebook Reviews Scraper. Extract reviewer names, ratings, comments, timestamps, and helpfulness reactions. Ideal for sentiment analysis, market research, and brand monitoring. Fast, accurate, and scalable for single or multiple pages.

Scrapier

Facebook Page Reviews Scraper

igview-owner/facebook-page-reviews-scraper

Scrape Facebook page reviews in minutes. Extract ratings, review text, author details, reactions, tags and sentiment from public pages. Perfect for reputation monitoring, competitor analysis, and customer feedback reports.

Sachin Kumar Yadav

Facebook Reviews Scraper

apify/facebook-reviews-scraper

Extract data from hundreds of Facebook reviews from one or multiple Facebook pages. Get review text, timestamp, review URL, likes and comments count and basic reviewer info. Download the data in JSON, CSV, Excel and use it in apps, spreadsheets, and reports.

Apify

2.2K

4.4

Facebook Page Reviews Scraper · No Cookies

data-slayer/facebook-page-reviews

Extract customer reviews from any Facebook page without login. Get review text, recommendation status, reviewer profiles, reaction counts, photos, and tags. No cookies, no authentication. Perfect for sentiment analysis and reputation monitoring. JSON/CSV/Excel export.