Pricing

$30.00/month + usage

Try for free

Go to Apify Store

Facebook Search Scraper

Try for free

Powerful Facebook search that scrapes and searches posts, pages, and profiles by keyword. Get detailed info like author, engagement metrics, images, videos. Ideal for research, monitoring, and analysis.

Pricing

$30.00/month + usage

Rating

5.0

(3)

Developer

Alien Force

Actor stats

Bookmarked

1.1K

Total users

Monthly active users

18 hours

Issues response

22 days ago

Last modified

Categories

Social media

Videos

You can access the Facebook Search Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
  "openapi": "3.0.1",
  "info": {
    "version": "0.0",
    "x-build-id": "SRTkimg2qLeoL5zlB"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/alien_force~facebook-search-scraper/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-alien_force-facebook-search-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/alien_force~facebook-search-scraper/runs": {
      "post": {
        "operationId": "runs-sync-alien_force-facebook-search-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/alien_force~facebook-search-scraper/run-sync": {
      "post": {
        "operationId": "run-sync-alien_force-facebook-search-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    }
  },
  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "properties": {
          "cookies": {
            "title": "Cookies (not required)",
            "type": "array",
            "description": "1. Install the Cookie-Editor Chrome extension.\n2. Log in to your Facebook account.\n3. Open the Cookie-Editor extension and export cookies as JSON for facebook.com.\n4. Paste the exported cookie contents here.",
            "default": []
          },
          "search_type": {
            "title": "Search Type",
            "enum": [
              "posts",
              "pages",
              "people"
            ],
            "type": "string",
            "description": "Select what search type to work with.",
            "default": "posts"
          },
          "keyword": {
            "title": "Keyword",
            "type": "string",
            "description": "Provide a keyword to search in Facebook."
          },
          "filter_by_recent_posts": {
            "title": "Filter By Recent",
            "type": "boolean",
            "description": "When selected, newer posts will be fetched first. (applied only with search type 'posts')",
            "default": false
          },
          "fetch_reaction_map": {
            "title": "Fetch Reaction Map",
            "type": "boolean",
            "description": "When turned on, reaction map is fetched for each post of type `video` only. Regular post items are always fetched regardless of this setting.",
            "default": false
          },
          "since": {
            "title": "Fetch Posts in Time Interval",
            "enum": [
              "all_times",
              "1d",
              "7d",
              "30d"
            ],
            "type": "string",
            "description": "Filter by time interval. This attribute will override the `start_date` and `end_date` filters",
            "default": "all_times"
          },
          "start_date": {
            "title": "Start Date",
            "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$",
            "type": "string",
            "description": "Select absolute date in format YYYY-MM-DD.\nThis attribute will override the filter_by_recent_posts value"
          },
          "end_date": {
            "title": "End Date",
            "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$",
            "type": "string",
            "description": "Select absolute date in format YYYY-MM-DD.\nThis attribute will override the filter_by_recent_posts value"
          },
          "location": {
            "title": "Location",
            "type": "string",
            "description": "Filter results by location for all search types (posts, pages, people). Accepts either a 10-20 digit Facebook place/page ID for an exact match, or a place name (e.g., \"New York, NY\") which will be resolved to the closest match via Facebook's place typeahead. If the name cannot be resolved, the location filter is skipped."
          },
          "only_reels": {
            "title": "Only Reels",
            "type": "boolean",
            "description": "When selected, only reels will be fetched.",
            "default": false
          },
          "results_limit": {
            "title": "Results Limit",
            "type": "integer",
            "description": "Limit number of results, minimum is 10 results",
            "default": 10
          },
          "min_wait_time_in_sec": {
            "title": "Minimum Seconds Awaited",
            "minimum": 0,
            "maximum": 2,
            "type": "integer",
            "description": "Minimum seconds to wait for each cursor.",
            "default": 1
          },
          "max_wait_time_in_sec": {
            "title": "Maximum Seconds Awaited",
            "minimum": 3,
            "maximum": 6,
            "type": "integer",
            "description": "Maximum seconds to wait for each cursor.",
            "default": 4
          },
          "proxyConfiguration": {
            "title": "Proxy configuration",
            "type": "object",
            "description": "Configure proxies to be used by the crawler.",
            "default": {
              "useApifyProxy": true
            }
          }
        }
      },
      "runsResponseSchema": {
        "type": "object",
        "properties": {
          "data": {
            "type": "object",
            "properties": {
              "id": {
                "type": "string"
              },
              "actId": {
                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
                "type": "object",
                "properties": {
                  "inputBodyLen": {
                    "type": "integer",
                    "example": 2000
                  },
                  "rebootCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "restartCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "resurrectCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "computeUnits": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "options": {
                "type": "object",
                "properties": {
                  "build": {
                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
                    "type": "integer",
                    "example": 1024
                  },
                  "diskMbytes": {
                    "type": "integer",
                    "example": 2048
                  }
                }
              },
              "buildId": {
                "type": "string"
              },
              "defaultKeyValueStoreId": {
                "type": "string"
              },
              "defaultDatasetId": {
                "type": "string"
              },
              "defaultRequestQueueId": {
                "type": "string"
              },
              "buildNumber": {
                "type": "string",
                "example": "1.0.0"
              },
              "containerUrl": {
                "type": "string"
              },
              "usage": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "integer",
                    "example": 1
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "usageTotalUsd": {
                "type": "number",
                "example": 0.00005
              },
              "usageUsd": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "number",
                    "example": 0.00005
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Facebook Search Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Facebook Search Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Facebook Search Scraper API in Python

Facebook Search Scraper API in JavaScript

Facebook Search Scraper API through CLI

Facebook Search Scraper API

Facebook Posts Scraper

apify/facebook-posts-scraper

Extract posts, videos, and engagement metrics from Facebook pages. Get text captions, reactions, video transcripts, images, external links, collaborators, and more from Facebook pages and profiles. Export ad data, schedule runs via API, and integrate with other tools or AI workflows.

Apify

50K

4.8

Facebook Posts Search

scraper_one/facebook-posts-search

✨ Search for Facebook posts using keywords or hashtags. Retrieve post URLs, content, publication dates, author details, and engagement metrics. Ideal for monitoring brand mentions on Facebook over time.

Scraper One

822

5.0

Facebook Posts Scraper

scraper_one/facebook-posts-scraper

Scrape Facebook posts from Facebook pages, groups etc. Retrieve post URLs, content, publication dates, author details, and engagement metrics. Ideal for Facebook monitoring solutions.

Scraper One

378

4.4

Facebook Posts Search Scraper

easyapi/facebook-posts-search-scraper

Effortlessly extract posts from Facebook search results. This actor automates the collection of posts based on custom queries, providing detailed information such as post content, engagement metrics, and author details. Ideal for social media monitoring, market research, and trend analysis.

EasyApi

994

1.9

Facebook Post Scraper

pratikdani/facebook-post-scraper

The Facebook Post Scraper Actor is a powerful tool designed to extract detailed information from Facebook posts using valid Facebook Post URLs. It provides comprehensive data about posts, including user information, engagement metrics, media attachments, and more.

Pratik Dani

409

4.9

Facebook Scraper Pro

alien_force/facebook-scraper-pro

Facebook Scraper Pro is a powerful Apify actor for extracting Facebook data. It includes: Search Scraper (finds posts by keyword), Profiles Scraper (scrapes profile info & posts), Posts Scraper (extracts posts by URL), and Comments Scraper (collects comments from posts). 🚀

Alien Force

566

Facebook Search Scraper

igview-owner/facebook-old-posts-search

Search Facebook posts in seconds. Find viral posts, photos and videos by keyword, date range and engagement – perfect for research, content ideas, brand monitoring and sentiment analysis.

Sachin Kumar Yadav

4.0

Facebook Search Posts Scraper

memo23/apify-facebook-post-search-scraper

Extract and analyze public Facebook posts with detailed engagement metrics, author insights, and rich media data. Perfect for market research, brand monitoring, and competitive analysis. Get structured JSON output with post content, reactions, comments, shares, and hashtags—all in one place

Muhamed Didovic

1.0

Facebook Posts/Comments Scraper

alien_force/facebook-posts-comments-scraper

Facebook Post Scraper with Comments extracts Facebook post details, including text, author info, likes, shares, and media. It also scrapes comments with user details, engagement metrics, and timestamps. Ideal for social media monitoring, sentiment analysis, and audience insights.

Alien Force

526

5.0

Facebook Page Post Scraper

alizarin_refrigerator-owner/facebook-page-post-scraper

Powerful Facebook Page scraper that extracts posts, engagement metrics (likes, comments, shares), images, videos, and posting dates from any public Facebook Page. Perfect for competitive analysis, content research, and social media monitoring.