Pricing

from $2.00 / 1,000 results

Try for free

Go to Apify Store

Reddit Keyword Search & Mentions Scraper

Try for free

Search all of Reddit by keyword and extract every matching post. Get title, full selftext, author, subreddit, score, upvote ratio, comment count, flair and permalink. Track brand, product and topic mentions. Export to JSON, CSV or Excel.

Pricing

from $2.00 / 1,000 results

Rating

5.0

(1)

Developer

Scrapers Lat

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Social media

Automation

Developer tools

You can access the Reddit Keyword Search & Mentions 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": "0.1",
    "x-build-id": "nYwPyiTs9xCZ1UA6I"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/scrapers_lat~reddit-search-scraper/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-scrapers_lat-reddit-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": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/scrapers_lat~reddit-search-scraper/runs": {
      "post": {
        "operationId": "runs-sync-scrapers_lat-reddit-search-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/scrapers_lat~reddit-search-scraper/run-sync": {
      "post": {
        "operationId": "run-sync-scrapers_lat-reddit-search-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
          "maxPosts": {
            "title": "Max posts",
            "minimum": 1,
            "maximum": 1000000,
            "type": "integer",
            "description": "Maximum number of posts to collect across all queries."
          },
          "searchQueries": {
            "title": "Search Queries",
            "type": "array",
            "description": "Keywords or phrases to search across Reddit. Add one per line, for example: your brand name, a product, a competitor. Each query is searched separately.",
            "items": {
              "type": "string"
            }
          },
          "searchQuery": {
            "title": "Search Query (single)",
            "type": "string",
            "description": "Optional. A single search term, as an alternative to the list above."
          },
          "subreddits": {
            "title": "Restrict to Subreddits",
            "type": "array",
            "description": "Optional. Limit the search to these subreddits (names without the r/ prefix). Leave empty to search all of Reddit.",
            "items": {
              "type": "string"
            }
          },
          "sort": {
            "title": "Sort",
            "enum": [
              "relevance",
              "hot",
              "top",
              "new",
              "comments"
            ],
            "type": "string",
            "description": "Result ordering.",
            "default": "relevance"
          },
          "timeFilter": {
            "title": "Time Range",
            "enum": [
              "hour",
              "day",
              "week",
              "month",
              "year",
              "all"
            ],
            "type": "string",
            "description": "Time window for the search results.",
            "default": "all"
          },
          "withDetails": {
            "title": "Fetch Full Post Text",
            "type": "boolean",
            "description": "When enabled, opens each matched post to capture its full self text, upvote ratio and gallery images. Disable for a faster, listing-only run.",
            "default": 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
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Reddit Keyword Search & Mentions 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 Keyword Search & Mentions 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:

Reddit Keyword Search & Mentions Scraper API in Python

Reddit Keyword Search & Mentions Scraper API in JavaScript

Reddit Keyword Search & Mentions Scraper API through CLI

Reddit Keyword Search & Mentions Scraper API

Reddit Posts Scraper: Full Text, Scores & Awards

scrapers_lat/reddit-posts-scraper

Scrape Reddit posts from any subreddit, search query or post URL. Extract title, selftext, author, score, upvote ratio, comment count, awards, flair and gallery images. Export to JSON, CSV or Excel. No login or API key.

Scrapers Lat

Reddit Keyword Search Scraper – Find Posts Across Reddit

endspec/reddit-instant-search-scraper

Search all of Reddit by keyword (optionally restricted to one subreddit) and export every matching post: title, body, author, score, comment count, permalink and URL. Filter by time window and sort order. No login, no Reddit API key. Pay only per result returned.

EndSpec

Reddit Search Scraper - Keyword & Brand Monitoring ($1.5/1k)

harshmaur/reddit-search-scraper

Search Reddit by keyword and scrape every matching post, comment, and subreddit. Monitor brand mentions, track topics, and find leads with sort and time-range filters — all of Reddit or one community. No API key, no login. Export CSV/Excel/JSON. From $1.50 per 1,000 results.

Harsh Maur

5.0

Reddit Posts & Comments Scraper

scrapers_lat/reddit-scraper

Scrape Reddit posts and comments from any subreddit or search query. Extract title, author, score, number of comments, subreddit, body text, flair, permalink and timestamps. Export to JSON, CSV or Excel.

Scrapers Lat

5.0

Reddit Scraper — Posts & Comments by Subreddit or Search

hichemdev/reddit-scraper

Scrape Reddit posts and comments from any subreddit or search query: title, author, score, upvote ratio, text, and metadata. No login or API key.

Hichem Ben Moussa

Reddit Subreddit Scraper – Export Posts from Any Subreddit

endspec/reddit-instant-subreddit-scraper

Scrape the newest, hot, top or rising posts from any public subreddit. Export post title, body text, author, score, comment count, timestamp, permalink and URL to JSON, CSV or Excel. No login, no Reddit API key. Pay only per post returned.

EndSpec

Reddit Scraper - Product Mentions & Complaints

focused_vanguard/reddit-product-mentions-scraper

Search Reddit for product mentions, complaints, and feedback. Extract posts/comments with dates, scores, subreddit info. Filter by sentiment. Export to JSON/CSV/Excel. Perfect for brand monitoring and VOC research.

Focused Vanguard

5.0

Reddit Posts Search Scraper

dami_studio/reddit-search-scraper

Searches Reddit by keyword across the site or one subreddit; returns matching posts as JSON with title, author, subreddit, URL and date. For product research.

Dami's Studio

5.0

Reddit Scraper

morph_coder/reddit-scraper

Scrape Reddit posts and comments by direct URL. Returns full content, engagement metrics (score, upvote ratio, awards), and metadata.

Morph Coder

Reddit Scraper

ef12/reddit-scraper

Scrape Reddit posts and comments by subreddit, search query, or user. Get titles, scores, upvote ratios, comment counts, post bodies, and flairs via the Reddit JSON API.