Under maintenance

Pricing

Pay per event

Try for free

Go to Apify Store

Reddit Scraper: Subreddit Posts, Comments, Search - No Login

Under maintenance

Try for free

Extract Reddit posts, comments and search results at scale. Up to 1,000 posts per subreddit across hot/new/top/rising, full comment threads, and keyword search. Flat JSON, 33 always-present fields, agent-ready. No login or credentials. SFW only. No start fee, $0.60 per 1,000 posts.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Santhej Kallada

Actor stats

Bookmarked

Total users

Monthly active users

25 days ago

Last modified

Categories

Lead generation

Automation

Social media

You can access the Reddit Scraper: Subreddit Posts, Comments, Search - No Login 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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
  "openapi": "3.0.1",
  "info": {
    "version": "0.0",
    "x-build-id": "a4J4sKy6Qf3bO20Yr"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/santhej~reddit-scraper/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-santhej-reddit-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": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/santhej~reddit-scraper/runs": {
      "post": {
        "operationId": "runs-sync-santhej-reddit-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/santhej~reddit-scraper/run-sync": {
      "post": {
        "operationId": "run-sync-santhej-reddit-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
          "subreddits": {
            "title": "Communities",
            "type": "array",
            "description": "Communities to harvest, one per line. Accepts 'programming', 'r/programming', '/r/programming' or a full reddit.com URL — all are normalised to the bare name. Supply this, a search keyword, or both. Adult and quarantined communities are refused.",
            "items": {
              "type": "string"
            }
          },
          "searchQuery": {
            "title": "Search keyword (optional)",
            "type": "string",
            "description": "Keyword search. On its own it runs site-wide and returns posts from any community. If communities are also supplied, the search runs once PER community — and the plain listing for each community still runs as well, so communities + a keyword is twice as many sources, and twice as many billable rows, as either on its own. Every row records which it came from in `sourceType` (`subreddit` or `search`) and `sourceQuery`. A single keyword returns roughly 240 results at most — split broad topics into several keywords."
          },
          "sort": {
            "title": "Sort",
            "enum": [
              "hot",
              "new",
              "top",
              "rising",
              "controversial",
              "best"
            ],
            "type": "string",
            "description": "Listing order. 'best' is served as 'hot' and the row field sortUsed echoes what actually ran. For a keyword search these map to relevance / top / new / most comments.",
            "default": "hot"
          },
          "timeRange": {
            "title": "Time range",
            "enum": [
              "hour",
              "day",
              "week",
              "month",
              "year",
              "all"
            ],
            "type": "string",
            "description": "Only meaningful for Top, Controversial and keyword search. It widens the history window but does not raise the 1,000-post ceiling — the windows are nested subsets of each other.",
            "default": "all"
          },
          "maxPostsPerSource": {
            "title": "Max posts per source",
            "minimum": 1,
            "maximum": 1000,
            "type": "integer",
            "description": "Posts to return per SOURCE, not per run. A source is one community listing, or one keyword search within one community, or one site-wide search — so 2 communities plus a keyword is 4 sources and returns up to 4× this number. 1,000 is the hard ceiling per source — a community listing stops delivering beyond that no matter what is requested.",
            "default": 100
          },
          "includeComments": {
            "title": "Include comment threads",
            "type": "boolean",
            "description": "Fetch the comment thread of every harvested post and append the comments to the same dataset as rows with type = 'comment'. Off by default so a plain listing run stays cheap.",
            "default": false
          },
          "maxCommentsPerPost": {
            "title": "Max comments per post",
            "minimum": 1,
            "maximum": 500,
            "type": "integer",
            "description": "Upper bound per post, not a guarantee — 500 is the hard ceiling and a request for 50 typically returns slightly fewer on deep threads. Ignored when comment threads are switched off.",
            "default": 50
          },
          "minCommentsToFetch": {
            "title": "Minimum comments before fetching a thread",
            "minimum": 0,
            "maximum": 500,
            "type": "integer",
            "description": "Skip the thread request entirely for posts whose declared comment count is below this number. At the default of 1, posts with zero comments cost nothing. This is the direct lever on the per-thread charge.",
            "default": 1
          },
          "proxyConfiguration": {
            "title": "Proxy configuration",
            "type": "object",
            "description": "Advanced. Residential US is the shipped default and is what the published reliability figures are based on.",
            "default": {
              "useApifyProxy": true,
              "apifyProxyGroups": [
                "RESIDENTIAL"
              ],
              "apifyProxyCountry": "US"
            }
          }
        }
      },
      "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
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Reddit Scraper: Subreddit Posts, Comments, Search - No Login 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: Subreddit Posts, Comments, Search - No Login 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:

Reddit Scraper: Subreddit Posts, Comments, Search - No Login API in Python

Reddit Scraper: Subreddit Posts, Comments, Search - No Login API in JavaScript

Reddit Scraper: Subreddit Posts, Comments, Search - No Login API through CLI

Reddit Scraper: Subreddit Posts, Comments, Search - No Login API

Reddit Scraper - Posts, Comments, Users, Search & Subreddits

dltik/reddit-scraper-api

Scrape Reddit via the official API. Posts, full comment trees, user history, subreddit rules/mods, search, sentiment, media download and monitoring. No browser. From $0.60 per 1,000 comments, $2 per 1,000 posts.

Walid

👽 Reddit Scraper — Posts, Comments & Search

inexhaustible_glass/reddit-scraper

Scrape Reddit posts, comments, search results & user activity. No login, no API key. Subreddit hot/new/top/rising, keyword search, full comment trees. Auto-paginated. For market research, lead monitoring, brand sentiment & content ideas.

Hitman studio

Reddit Scraper — Posts & Full Comment Threads

blackfalcondata/reddit-scraper

Scrape Reddit posts with full nested comment threads — or search any subreddit or keyword across posts, comments and communities. Bodies come as AI-ready text, HTML and Markdown for LLMs. $1.25 per 1,000 results; no login or developer token needed.

Black Falcon Data

5.0

Reddit Search Posts Scraper (no cookies)

data_direct/reddit-posts-scraper

Search Reddit posts by keyword across every subreddit

Data Direct

Reddit Subreddit Scraper

myagizm/reddit-subreddit-scraper

Scrape posts from any subreddit as structured JSON — new/hot/top/rising, with text and media. No login, no API key.

MYM

Reddit Scraper — Posts, Comments, Users, Subreddits

good-apis/reddit-scraper

Fast Reddit scraper. Search posts, get subreddit data, user profiles, and comments. No login, no browser, clean JSON output. Launch pricing: $1.25 / 1,000 results.

Danny

Reddit Search Scraper — Posts, Comments & Users

logiover/reddit-search-scraper

Scrape Reddit subreddit search with no API key or login. Export posts and comments to CSV/JSON — a Reddit API alternative for keyword monitoring.

Logiover

Reddit Subreddit Posts Scraper | Fast Bulk Feed Export

clearpath/reddit-subreddit-posts-scraper

Scrape 1,000+ posts per subreddit in seconds. Hot, new, top, rising, controversial feeds with time filters. Optional comment fetching (up to 1,000 per post). Bulk subreddit input via names, URLs, or CSV.

ClearPath

672

Subreddit Posts Scraper

agentx/subreddit-posts-scraper

Subreddit posts scraper for one community with new, top, hot, rising, or controversial sorting: 43 top-level fields per post covering engagement signals, flags, media, duplicate links, and optional nested comments. Inputs accept 1-1,000 posts and 0-2,000 comments per post. From $3 per 1,000 posts.

AgentX

5.0

Reddit Scraper — Posts, Comments & Search (No API Key)

gochujang/reddit-posts-scraper

Scrape Reddit posts and comments from any subreddit, search query, or user profile. Uses Reddit public JSON API — no API key required. Sort by hot/new/top/rising. Optional top comments. PPE $0.003/post.