{ "openapi": "3.0.1", "info": { "title": "Reddit Historical Archive Scraper", "description": "Access 10+ years of archived Reddit posts and comments via PullPush. Full-text comment search (Reddit can't do this). No login, no proxy. $0.001/item.", "version": "0.0", "x-build-id": "cI600pui0ZFEEdu9L" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/logiover~reddit-historical-archive-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-logiover-reddit-historical-archive-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/logiover~reddit-historical-archive-scraper/runs": { "post": { "operationId": "runs-sync-logiover-reddit-historical-archive-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/logiover~reddit-historical-archive-scraper/run-sync": { "post": { "operationId": "run-sync-logiover-reddit-historical-archive-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": "Subreddits", "type": "array", "description": "List of subreddit names to scrape historically (no /r/ prefix needed). Each runs as a listing scrape. Example: ['programming', 'wallstreetbets', 'askhistorians']", "default": [], "items": { "type": "string" } }, "postIds": { "title": "Post IDs", "type": "array", "description": "Reddit post IDs (the alphanumeric piece in /comments/XXXX/). Each post is fetched along with ALL of its archived comments (flat list with reconstructed depth field).", "default": [], "items": { "type": "string" } }, "usernames": { "title": "Usernames", "type": "array", "description": "Reddit usernames to scrape (no /u/ prefix needed). Returns the user's historical posts and/or comments based on `userContent`. Excellent for tracking the full Reddit history of an account.", "default": [], "items": { "type": "string" } }, "searchQueries": { "title": "Post Search Queries", "type": "array", "description": "Full-text search across all archived Reddit POSTS. PullPush's unique advantage: Reddit-wide FTS (Full Text Search) on title + selftext. Can be combined with date ranges, subreddit filters, score thresholds.", "default": [], "items": { "type": "string" } }, "commentSearchQueries": { "title": "Comment Search Queries", "type": "array", "description": "Full-text search across all archived Reddit COMMENTS. This is a UNIQUE FEATURE — Reddit's own search cannot search comment bodies, only post titles. Use this to find every comment ever made mentioning a brand, term, or phrase across all of Reddit history.", "default": [], "items": { "type": "string" } }, "startUrls": { "title": "Reddit URLs (auto-detected)", "type": "array", "description": "Any Reddit URL — subreddit, post, user, or search. The scraper auto-detects the type. Mix and match URL types in one input.", "default": [], "items": { "type": "string" } }, "sort": { "title": "Sort", "enum": [ "new", "top", "hot", "rising", "controversial", "best" ], "type": "string", "description": "How to sort results. 'new' (newest archived first) and 'top' (highest score first) are natively supported. 'hot', 'rising', 'controversial', 'best' are Reddit-algorithm-specific and not supported — they fall back to 'new'.", "default": "new" }, "afterDate": { "title": "After Date (ISO)", "type": "string", "description": "Only return posts/comments created AFTER this ISO date. Format: YYYY-MM-DD or full ISO timestamp. Powerful for time-bounded historical analysis. Example: '2023-01-01'", "default": null }, "beforeDate": { "title": "Before Date (ISO)", "type": "string", "description": "Only return posts/comments created BEFORE this ISO date. Combine with afterDate for precise time-window queries. Example: '2024-12-31'", "default": null }, "minScore": { "title": "Minimum Score", "type": "integer", "description": "Only return posts/comments with score (upvotes - downvotes) at or above this value. Useful for filtering to viral or high-engagement content. Leave empty for no filter.", "default": null }, "userContent": { "title": "User Content Type", "enum": [ "overview", "submitted", "comments" ], "type": "string", "description": "When scraping users, choose what to return: both submitted posts and comments, only posts, or only comments.", "default": "overview" }, "maxItems": { "title": "Max Items (Global)", "minimum": 0, "type": "integer", "description": "Total cap across ALL targets. Hard ceiling. `0` = unlimited." }, "maxItemsPerTarget": { "title": "Max Items Per Target", "minimum": 0, "type": "integer", "description": "Cap per subreddit / post / user / search. Prevents one big target from eating the budget." }, "requestDelayMs": { "title": "Request Delay (ms)", "minimum": 100, "type": "integer", "description": "Milliseconds between requests. PullPush hard limit is ~30/min — 2200ms (default) keeps you safely under. Lower at your own risk.", "default": 2200 }, "maxRetries": { "title": "Max Retries on 429/5xx", "minimum": 0, "type": "integer", "description": "Retry attempts with exponential backoff on rate limits and server errors.", "default": 4 } } }, "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 } } } } } } } } } }