{ "openapi": "3.0.1", "info": { "title": "Reddit [$1💰]⚡ Lightning", "description": "From $1/1K. Scrape Reddit posts, comments, and media from any subreddit or user profile — no login or API keys required. Search by keyword, sort by hot/new/top/rising, and optionally pull full comment threads and media URLs. Fast and resource-efficient.", "version": "1.1", "x-build-id": "1fc7D7c6D54LybmFX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/abotapi~reddit-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-abotapi-reddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/abotapi~reddit-scraper/runs": { "post": { "operationId": "runs-sync-abotapi-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/abotapi~reddit-scraper/run-sync": { "post": { "operationId": "run-sync-abotapi-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", "required": [ "target" ], "properties": { "target": { "title": "Subreddit or Username", "type": "string", "description": "Name of subreddit (e.g., 'python', 'askreddit') or username (e.g., 'spez')" }, "isUser": { "title": "Is Username", "type": "boolean", "description": "Set to true if target is a Reddit username instead of subreddit", "default": false }, "limit": { "title": "Post Limit", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of posts to scrape (max 1000)", "default": 10 }, "sort": { "title": "Sort By", "enum": [ "new", "hot", "top", "rising" ], "type": "string", "description": "How to sort posts", "default": "new" }, "timeframe": { "title": "Timeframe (for 'top' sort)", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Time period for 'top' posts", "default": "all" }, "scrapeComments": { "title": "Scrape Comments", "type": "boolean", "description": "Fetch comments for each post (slower but more data)", "default": false }, "commentsLimit": { "title": "Comments Per Post", "minimum": 1, "maximum": 500, "type": "integer", "description": "Max comments to fetch per post", "default": 100 }, "extractMediaUrls": { "title": "Extract Media URLs", "type": "boolean", "description": "Extract image/video URLs from posts", "default": true }, "downloadMedia": { "title": "Download Media Files", "type": "boolean", "description": "Download images/videos to Key-Value Store (increases cost)", "default": false }, "proxy": { "title": "Proxy Configuration", "type": "object", "description": "REQUIRED: Reddit blocks datacenter IPs. Use RESIDENTIAL proxy." }, "resumeFromRunId": { "title": "Resume from a previous run", "type": "string", "description": "Paste a previous run ID or dataset ID to continue a large pull of posts without returning or charging for posts already collected there. Use this after an interrupted run, or when continuing a pull in another run. For recurring daily monitoring of the same subreddit/user, use Incremental mode below instead." }, "incrementalMode": { "title": "Incremental changes for scheduled runs", "type": "boolean", "description": "Turn this on for daily or recurring monitoring of the same subreddit/user. The first run returns all matching posts as NEW. Later runs normally return only NEW, UPDATED, and REAPPEARED posts. A post is UPDATED only when its title, text, URL, flair, or NSFW/spoiler flags actually change -- score, upvote ratio, and comment count are excluded from that comparison because they drift within seconds on their own, so voting or commenting alone never marks a post UPDATED (every returned post still carries its current live score/upvote_ratio/num_comments, just not compared against it). Turn on \"Emit unchanged\" or \"Emit expired\" only when you also want those posts returned (and billed). State is kept separately for each subreddit/user, sort, timeframe, and media toggle combination; use State key when you want to name or deliberately share a monitoring campaign. To continue one specific interrupted run instead, use Resume from a previous run above.", "default": false }, "stateKey": { "title": "State key (optional, incremental mode only)", "type": "string", "description": "Optional. Name this monitoring campaign to keep its state stable, or to deliberately share state across differently-configured runs. Leave empty to let the actor derive a key automatically from the subreddit/user, sort, timeframe, and media toggles -- different setups then never mix state with each other." }, "emitUnchanged": { "title": "Emit unchanged posts (incremental mode only)", "type": "boolean", "description": "Off by default. Turn on to also return posts that have not changed since the last run, marked UNCHANGED. This returns -- and bills -- extra rows you already have, so leave it off unless you specifically want the full snapshot every run.", "default": false }, "emitExpired": { "title": "Emit expired posts (incremental mode only)", "type": "boolean", "description": "Off by default. Turn on to also return posts that were present in a previous run but are no longer found, marked EXPIRED. Only produced once a run has fully scanned the subreddit/user listing to its natural end -- not when Post Limit capped it, or when Resume was used. This returns -- and bills -- extra synthetic rows, so leave it off unless you need expiry tracking.", "default": false }, "mcpConnectors": { "title": "Pipe results into your apps (optional)", "type": "array", "description": "Optionally send the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. Authorize a connector once under Apify → Settings → Integrations, then select it here. The connector receives a condensed, human-readable summary per item (title + key fields), not the full JSON — the complete record stays in the dataset. Leave empty to skip. Supported: Notion (https://mcp.notion.com/mcp), Linear (https://mcp.linear.app/sse), Airtable (https://mcp.airtable.com/mcp), Apify (https://mcp.apify.com)." }, "notionParentPageUrl": { "title": "Notion parent page (Notion connector only)", "type": "string", "description": "URL (or id) of the Notion page under which item pages are created. Required to enable the Notion export; ignored by other connectors." }, "maxNotifyListings": { "title": "Max items to export per connector", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Cap on items written to each connector per run. Does not affect the dataset.", "default": 50 } } }, "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 } } } } } } } } } }