Facebook Comments Scraper (All-in-One) 💬 - Pay Per Results avatar
Facebook Comments Scraper (All-in-One) 💬 - Pay Per Results

Deprecated

Pricing

$1.99 / 1,000 comments

Go to Store
Facebook Comments Scraper (All-in-One) 💬 - Pay Per Results

Facebook Comments Scraper (All-in-One) 💬 - Pay Per Results

Deprecated

Developed by

Storm_Scraper

Maintained by Community

Easily gather comments from public Facebook posts. This tool automates the process of comment extraction, offering in-depth details like author information, comment, & timestamps ⏰. Its strength lies in scraping not only post comments but also the most relevant ones from images and videos 🎥📸.

0.0 (0)

Pricing

$1.99 / 1,000 comments

1

Monthly users

8

Last modified

4 months ago

You can access the Facebook Comments Scraper (All-in-One) 💬 - Pay Per Results 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.

1{
2  "openapi": "3.0.1",
3  "info": {
4    "version": "0.0",
5    "x-build-id": "amUO8QiHpqOIgGVOa"
6  },
7  "servers": [
8    {
9      "url": "https://api.apify.com/v2"
10    }
11  ],
12  "paths": {
13    "/acts/scrapestorm~facebook-comments-scraper-all-in-one---pay-per-results/run-sync-get-dataset-items": {
14      "post": {
15        "operationId": "run-sync-get-dataset-items-scrapestorm-facebook-comments-scraper-all-in-one---pay-per-results",
16        "x-openai-isConsequential": false,
17        "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18        "tags": [
19          "Run Actor"
20        ],
21        "requestBody": {
22          "required": true,
23          "content": {
24            "application/json": {
25              "schema": {
26                "$ref": "#/components/schemas/inputSchema"
27              }
28            }
29          }
30        },
31        "parameters": [
32          {
33            "name": "token",
34            "in": "query",
35            "required": true,
36            "schema": {
37              "type": "string"
38            },
39            "description": "Enter your Apify token here"
40          }
41        ],
42        "responses": {
43          "200": {
44            "description": "OK"
45          }
46        }
47      }
48    },
49    "/acts/scrapestorm~facebook-comments-scraper-all-in-one---pay-per-results/runs": {
50      "post": {
51        "operationId": "runs-sync-scrapestorm-facebook-comments-scraper-all-in-one---pay-per-results",
52        "x-openai-isConsequential": false,
53        "summary": "Executes an Actor and returns information about the initiated run in response.",
54        "tags": [
55          "Run Actor"
56        ],
57        "requestBody": {
58          "required": true,
59          "content": {
60            "application/json": {
61              "schema": {
62                "$ref": "#/components/schemas/inputSchema"
63              }
64            }
65          }
66        },
67        "parameters": [
68          {
69            "name": "token",
70            "in": "query",
71            "required": true,
72            "schema": {
73              "type": "string"
74            },
75            "description": "Enter your Apify token here"
76          }
77        ],
78        "responses": {
79          "200": {
80            "description": "OK",
81            "content": {
82              "application/json": {
83                "schema": {
84                  "$ref": "#/components/schemas/runsResponseSchema"
85                }
86              }
87            }
88          }
89        }
90      }
91    },
92    "/acts/scrapestorm~facebook-comments-scraper-all-in-one---pay-per-results/run-sync": {
93      "post": {
94        "operationId": "run-sync-scrapestorm-facebook-comments-scraper-all-in-one---pay-per-results",
95        "x-openai-isConsequential": false,
96        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97        "tags": [
98          "Run Actor"
99        ],
100        "requestBody": {
101          "required": true,
102          "content": {
103            "application/json": {
104              "schema": {
105                "$ref": "#/components/schemas/inputSchema"
106              }
107            }
108          }
109        },
110        "parameters": [
111          {
112            "name": "token",
113            "in": "query",
114            "required": true,
115            "schema": {
116              "type": "string"
117            },
118            "description": "Enter your Apify token here"
119          }
120        ],
121        "responses": {
122          "200": {
123            "description": "OK"
124          }
125        }
126      }
127    }
128  },
129  "components": {
130    "schemas": {
131      "inputSchema": {
132        "type": "object",
133        "required": [
134          "post_url"
135        ],
136        "properties": {
137          "post_url": {
138            "title": "Post_URL 🚨 (which preferably should contain the characters /posts/) ",
139            "type": "string",
140            "description": "URL of the post to scrape comments from",
141            "default": ""
142          },
143          "maxcomments": {
144            "title": "Max comments you want to scrape",
145            "type": "integer",
146            "description": "The maximum number of comments to fetch",
147            "default": 200
148          }
149        }
150      },
151      "runsResponseSchema": {
152        "type": "object",
153        "properties": {
154          "data": {
155            "type": "object",
156            "properties": {
157              "id": {
158                "type": "string"
159              },
160              "actId": {
161                "type": "string"
162              },
163              "userId": {
164                "type": "string"
165              },
166              "startedAt": {
167                "type": "string",
168                "format": "date-time",
169                "example": "2025-01-08T00:00:00.000Z"
170              },
171              "finishedAt": {
172                "type": "string",
173                "format": "date-time",
174                "example": "2025-01-08T00:00:00.000Z"
175              },
176              "status": {
177                "type": "string",
178                "example": "READY"
179              },
180              "meta": {
181                "type": "object",
182                "properties": {
183                  "origin": {
184                    "type": "string",
185                    "example": "API"
186                  },
187                  "userAgent": {
188                    "type": "string"
189                  }
190                }
191              },
192              "stats": {
193                "type": "object",
194                "properties": {
195                  "inputBodyLen": {
196                    "type": "integer",
197                    "example": 2000
198                  },
199                  "rebootCount": {
200                    "type": "integer",
201                    "example": 0
202                  },
203                  "restartCount": {
204                    "type": "integer",
205                    "example": 0
206                  },
207                  "resurrectCount": {
208                    "type": "integer",
209                    "example": 0
210                  },
211                  "computeUnits": {
212                    "type": "integer",
213                    "example": 0
214                  }
215                }
216              },
217              "options": {
218                "type": "object",
219                "properties": {
220                  "build": {
221                    "type": "string",
222                    "example": "latest"
223                  },
224                  "timeoutSecs": {
225                    "type": "integer",
226                    "example": 300
227                  },
228                  "memoryMbytes": {
229                    "type": "integer",
230                    "example": 1024
231                  },
232                  "diskMbytes": {
233                    "type": "integer",
234                    "example": 2048
235                  }
236                }
237              },
238              "buildId": {
239                "type": "string"
240              },
241              "defaultKeyValueStoreId": {
242                "type": "string"
243              },
244              "defaultDatasetId": {
245                "type": "string"
246              },
247              "defaultRequestQueueId": {
248                "type": "string"
249              },
250              "buildNumber": {
251                "type": "string",
252                "example": "1.0.0"
253              },
254              "containerUrl": {
255                "type": "string"
256              },
257              "usage": {
258                "type": "object",
259                "properties": {
260                  "ACTOR_COMPUTE_UNITS": {
261                    "type": "integer",
262                    "example": 0
263                  },
264                  "DATASET_READS": {
265                    "type": "integer",
266                    "example": 0
267                  },
268                  "DATASET_WRITES": {
269                    "type": "integer",
270                    "example": 0
271                  },
272                  "KEY_VALUE_STORE_READS": {
273                    "type": "integer",
274                    "example": 0
275                  },
276                  "KEY_VALUE_STORE_WRITES": {
277                    "type": "integer",
278                    "example": 1
279                  },
280                  "KEY_VALUE_STORE_LISTS": {
281                    "type": "integer",
282                    "example": 0
283                  },
284                  "REQUEST_QUEUE_READS": {
285                    "type": "integer",
286                    "example": 0
287                  },
288                  "REQUEST_QUEUE_WRITES": {
289                    "type": "integer",
290                    "example": 0
291                  },
292                  "DATA_TRANSFER_INTERNAL_GBYTES": {
293                    "type": "integer",
294                    "example": 0
295                  },
296                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
297                    "type": "integer",
298                    "example": 0
299                  },
300                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
301                    "type": "integer",
302                    "example": 0
303                  },
304                  "PROXY_SERPS": {
305                    "type": "integer",
306                    "example": 0
307                  }
308                }
309              },
310              "usageTotalUsd": {
311                "type": "number",
312                "example": 0.00005
313              },
314              "usageUsd": {
315                "type": "object",
316                "properties": {
317                  "ACTOR_COMPUTE_UNITS": {
318                    "type": "integer",
319                    "example": 0
320                  },
321                  "DATASET_READS": {
322                    "type": "integer",
323                    "example": 0
324                  },
325                  "DATASET_WRITES": {
326                    "type": "integer",
327                    "example": 0
328                  },
329                  "KEY_VALUE_STORE_READS": {
330                    "type": "integer",
331                    "example": 0
332                  },
333                  "KEY_VALUE_STORE_WRITES": {
334                    "type": "number",
335                    "example": 0.00005
336                  },
337                  "KEY_VALUE_STORE_LISTS": {
338                    "type": "integer",
339                    "example": 0
340                  },
341                  "REQUEST_QUEUE_READS": {
342                    "type": "integer",
343                    "example": 0
344                  },
345                  "REQUEST_QUEUE_WRITES": {
346                    "type": "integer",
347                    "example": 0
348                  },
349                  "DATA_TRANSFER_INTERNAL_GBYTES": {
350                    "type": "integer",
351                    "example": 0
352                  },
353                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
354                    "type": "integer",
355                    "example": 0
356                  },
357                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
358                    "type": "integer",
359                    "example": 0
360                  },
361                  "PROXY_SERPS": {
362                    "type": "integer",
363                    "example": 0
364                  }
365                }
366              }
367            }
368          }
369        }
370      }
371    }
372  }
373}

Facebook Comments Scraper (All-in-One) 💬 - Pay Per Results 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 Comments Scraper (All-in-One) 💬 - Pay Per Results from the options below:

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:

Pricing

Pricing model

Pay per result 

This Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.

Price per 1,000 items

$1.99