Reddit scraper avatar

Reddit scraper

Try for free

3 days trial then $25.00/month - No credit card required now

Go to Store
Reddit scraper

Reddit scraper

curious_coder/reddit-scraper
Try for free

3 days trial then $25.00/month - No credit card required now

Scrape reddit posts and comments from reddit search and communities

You can access the Reddit scraper programmatically from your own applications by using the Apify API. You can 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": "1.0",
5    "x-build-id": "9F31EDvAwDEGaMf8t"
6  },
7  "servers": [
8    {
9      "url": "https://api.apify.com/v2"
10    }
11  ],
12  "paths": {
13    "/acts/curious_coder~reddit-scraper/run-sync-get-dataset-items": {
14      "post": {
15        "operationId": "run-sync-get-dataset-items-curious_coder-reddit-scraper",
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                "$ref": "#/components/schemas/inputSchema"
27              }
28            }
29          }
30        },
31        "parameters": [
32          {
33            "name": "token",
34            "in": "query",
35            "required": true,
36            "schema": {
37              "type": "string"
38            },
39            "description": "Enter your Apify token here"
40          }
41        ],
42        "responses": {
43          "200": {
44            "description": "OK"
45          }
46        }
47      }
48    },
49    "/acts/curious_coder~reddit-scraper/runs": {
50      "post": {
51        "operationId": "runs-sync-curious_coder-reddit-scraper",
52        "x-openai-isConsequential": false,
53        "summary": "Executes an Actor and returns information about the initiated run in response.",
54        "tags": [
55          "Run Actor"
56        ],
57        "requestBody": {
58          "required": true,
59          "content": {
60            "application/json": {
61              "schema": {
62                "$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                  "$ref": "#/components/schemas/runsResponseSchema"
85                }
86              }
87            }
88          }
89        }
90      }
91    },
92    "/acts/curious_coder~reddit-scraper/run-sync": {
93      "post": {
94        "operationId": "run-sync-curious_coder-reddit-scraper",
95        "x-openai-isConsequential": false,
96        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97        "tags": [
98          "Run Actor"
99        ],
100        "requestBody": {
101          "required": true,
102          "content": {
103            "application/json": {
104              "schema": {
105                "$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          "urls"
135        ],
136        "properties": {
137          "urls": {
138            "title": "URLs",
139            "type": "array",
140            "description": "Add post URLs to scrape",
141            "items": {
142              "type": "object",
143              "required": [
144                "url"
145              ],
146              "properties": {
147                "url": {
148                  "type": "string",
149                  "title": "URL of a web page",
150                  "format": "uri"
151                }
152              }
153            }
154          },
155          "depth": {
156            "title": "Scraping depth",
157            "type": "integer",
158            "description": "How many levels deep we should scrape. More depth = more info"
159          },
160          "count": {
161            "title": "#️⃣ Total number of records required",
162            "type": "integer",
163            "description": "Leave this field empty if you want to scrape all items."
164          },
165          "proxy": {
166            "title": "Proxy",
167            "type": "object",
168            "description": "You can use proxy from your account's country if needed for extra safety."
169          }
170        }
171      },
172      "runsResponseSchema": {
173        "type": "object",
174        "properties": {
175          "data": {
176            "type": "object",
177            "properties": {
178              "id": {
179                "type": "string"
180              },
181              "actId": {
182                "type": "string"
183              },
184              "userId": {
185                "type": "string"
186              },
187              "startedAt": {
188                "type": "string",
189                "format": "date-time",
190                "example": "2025-01-08T00:00:00.000Z"
191              },
192              "finishedAt": {
193                "type": "string",
194                "format": "date-time",
195                "example": "2025-01-08T00:00:00.000Z"
196              },
197              "status": {
198                "type": "string",
199                "example": "READY"
200              },
201              "meta": {
202                "type": "object",
203                "properties": {
204                  "origin": {
205                    "type": "string",
206                    "example": "API"
207                  },
208                  "userAgent": {
209                    "type": "string"
210                  }
211                }
212              },
213              "stats": {
214                "type": "object",
215                "properties": {
216                  "inputBodyLen": {
217                    "type": "integer",
218                    "example": 2000
219                  },
220                  "rebootCount": {
221                    "type": "integer",
222                    "example": 0
223                  },
224                  "restartCount": {
225                    "type": "integer",
226                    "example": 0
227                  },
228                  "resurrectCount": {
229                    "type": "integer",
230                    "example": 0
231                  },
232                  "computeUnits": {
233                    "type": "integer",
234                    "example": 0
235                  }
236                }
237              },
238              "options": {
239                "type": "object",
240                "properties": {
241                  "build": {
242                    "type": "string",
243                    "example": "latest"
244                  },
245                  "timeoutSecs": {
246                    "type": "integer",
247                    "example": 300
248                  },
249                  "memoryMbytes": {
250                    "type": "integer",
251                    "example": 1024
252                  },
253                  "diskMbytes": {
254                    "type": "integer",
255                    "example": 2048
256                  }
257                }
258              },
259              "buildId": {
260                "type": "string"
261              },
262              "defaultKeyValueStoreId": {
263                "type": "string"
264              },
265              "defaultDatasetId": {
266                "type": "string"
267              },
268              "defaultRequestQueueId": {
269                "type": "string"
270              },
271              "buildNumber": {
272                "type": "string",
273                "example": "1.0.0"
274              },
275              "containerUrl": {
276                "type": "string"
277              },
278              "usage": {
279                "type": "object",
280                "properties": {
281                  "ACTOR_COMPUTE_UNITS": {
282                    "type": "integer",
283                    "example": 0
284                  },
285                  "DATASET_READS": {
286                    "type": "integer",
287                    "example": 0
288                  },
289                  "DATASET_WRITES": {
290                    "type": "integer",
291                    "example": 0
292                  },
293                  "KEY_VALUE_STORE_READS": {
294                    "type": "integer",
295                    "example": 0
296                  },
297                  "KEY_VALUE_STORE_WRITES": {
298                    "type": "integer",
299                    "example": 1
300                  },
301                  "KEY_VALUE_STORE_LISTS": {
302                    "type": "integer",
303                    "example": 0
304                  },
305                  "REQUEST_QUEUE_READS": {
306                    "type": "integer",
307                    "example": 0
308                  },
309                  "REQUEST_QUEUE_WRITES": {
310                    "type": "integer",
311                    "example": 0
312                  },
313                  "DATA_TRANSFER_INTERNAL_GBYTES": {
314                    "type": "integer",
315                    "example": 0
316                  },
317                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
318                    "type": "integer",
319                    "example": 0
320                  },
321                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
322                    "type": "integer",
323                    "example": 0
324                  },
325                  "PROXY_SERPS": {
326                    "type": "integer",
327                    "example": 0
328                  }
329                }
330              },
331              "usageTotalUsd": {
332                "type": "number",
333                "example": 0.00005
334              },
335              "usageUsd": {
336                "type": "object",
337                "properties": {
338                  "ACTOR_COMPUTE_UNITS": {
339                    "type": "integer",
340                    "example": 0
341                  },
342                  "DATASET_READS": {
343                    "type": "integer",
344                    "example": 0
345                  },
346                  "DATASET_WRITES": {
347                    "type": "integer",
348                    "example": 0
349                  },
350                  "KEY_VALUE_STORE_READS": {
351                    "type": "integer",
352                    "example": 0
353                  },
354                  "KEY_VALUE_STORE_WRITES": {
355                    "type": "number",
356                    "example": 0.00005
357                  },
358                  "KEY_VALUE_STORE_LISTS": {
359                    "type": "integer",
360                    "example": 0
361                  },
362                  "REQUEST_QUEUE_READS": {
363                    "type": "integer",
364                    "example": 0
365                  },
366                  "REQUEST_QUEUE_WRITES": {
367                    "type": "integer",
368                    "example": 0
369                  },
370                  "DATA_TRANSFER_INTERNAL_GBYTES": {
371                    "type": "integer",
372                    "example": 0
373                  },
374                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
375                    "type": "integer",
376                    "example": 0
377                  },
378                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
379                    "type": "integer",
380                    "example": 0
381                  },
382                  "PROXY_SERPS": {
383                    "type": "integer",
384                    "example": 0
385                  }
386                }
387              }
388            }
389          }
390        }
391      }
392    }
393  }
394}

Reddit 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 Reddit scraper 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:

Developer
Maintained by Community

Actor Metrics

  • 19 monthly users

  • 2 stars

  • >99% runs succeeded

  • Created in Jun 2023

  • Modified 7 months ago

Categories