{ "openapi": "3.0.1", "info": { "title": "Reddit Scraper", "description": "Tap into the wealth of Reddit's data with our Reddit Scraper. Extract valuable insights from posts, subreddits, comments, and user data effortlessly. Simplify analysis and gain valuable insights from the diverse Reddit community with our user-friendly and efficient tool.", "version": "0.0", "x-build-id": "BcNRabaKVuFPgsYi9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/epctex~reddit-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-epctex-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/epctex~reddit-scraper/runs": { "post": { "operationId": "runs-sync-epctex-reddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/epctex~reddit-scraper/run-sync": { "post": { "operationId": "run-sync-epctex-reddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with. Supports the Reddit landing feeds (/, /hot, /best, /new, /top), subreddits, single posts, user profiles and user comment pages. Can be combined with a search query - each entry is scraped as its own query.", "items": { "type": "string" } }, "search": { "title": "Search keyword", "maxLength": 100, "type": "string", "description": "The keyword to search on Reddit. Runs as a separate query from Start URLs - you can provide both." }, "searchMode": { "title": "Search Mode", "enum": [ "link", "sr", "user" ], "type": "string", "description": "What type of results the search should return. Only applies to the Search keyword.", "default": "link" }, "sort": { "title": "Sort", "enum": [ "relevance", "hot", "top", "new", "comments" ], "type": "string", "description": "How to sort results. Applies to search and to subreddit/user listings. Not every sort is valid everywhere - the landing feeds are sorted by the feed itself, community and people searches are always relevance-sorted, and subreddit/user listings only support Hot, Top and New. Unsupported values fall back to the Reddit default.", "default": "relevance" }, "time": { "title": "Time", "enum": [ "all", "year", "month", "week", "day", "hour" ], "type": "string", "description": "Time range for results. Only applies to post search - Reddit ignores it for Communities and People searches.", "default": "all" }, "includeComments": { "title": "Include comments", "type": "boolean", "description": "Fetch comments for every scraped post and nest them under the post. Applies to single posts, listings and user posts. Each comment is billed as a dataset item, so this can meaningfully increase the cost of a run.", "default": false }, "maxItems": { "title": "Maximum number of items on output", "minimum": 1, "type": "integer", "description": "Maximum number of items that you want as output. Default is all." }, "endPage": { "title": "List end page", "minimum": 1, "type": "integer", "description": "The page number to stop at. Applies to each Start URL and to the search query independently. Default is no end page." }, "customMapFunction": { "title": "Custom map function", "type": "string", "description": "Function that takes each of the objects as argument and returns data that will be mapped by the function itself." }, "outputConnector": { "title": "Send results to Notion, Todoist, … (optional)", "type": "string", "description": "Pick an MCP connector you authorized in Console → Settings → API & Integrations → MCP connectors (e.g. Notion, Todoist — any service whose MCP server offers non-destructive write tools works best-effort). The scraped results are written through your own connector — the Actor never sees your third-party credentials. Only non-destructive write tools are used; it can never delete or overwrite your existing data." }, "deliverTarget": { "title": "Destination target", "type": "string", "description": "Where to write into the connector — paste the URL or ID. Notion example: https://www.notion.so/My-Posts-24f8a1b2c3d44e5f8a9b0c1d2e3f4a5b. Leave empty for services that need no target (e.g. Todoist Inbox, Slack). For Notion, share the page or database with your connector first (Notion's ••• → Connections menu), and point at a PAGE for structured columns (the Actor builds the database for you) — an empty database receives only the title (the rest of each record goes to the row's body)." }, "deliverMode": { "title": "Write mode", "enum": [ "perPost", "summary" ], "type": "string", "description": "perPost writes one record per scraped item; summary writes a single roll-up for the run.", "default": "perPost" }, "deliverMaxItems": { "title": "Max records to deliver — perPost only (optional)", "minimum": 1, "type": "integer", "description": "Cap on how many records perPost mode writes to the connector; ignored in summary mode. Leave empty to deliver everything scraped." } } }, "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 }, "PROXY_UNBLOCKER_UNITS": { "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 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } } } } } } } } }