Reddit Scraper Plus
Pricing
$30.00/month + usage
Go to Apify Store
Reddit Scraper Plus
0.0 (0)
Pricing
$30.00/month + usage
0
2
2
Last modified
10 hours ago
Pricing
$30.00/month + usage
0.0 (0)
Pricing
$30.00/month + usage
0
2
2
Last modified
10 hours ago
You can access the Reddit Scraper Plus 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.
![🔥 Y Combinator Scraper [API] 2025 | Super Cheap & Fast avatar](https://images.apifyusercontent.com/XCuMDZV32gR1B6p-M3B3_TuvZqUITVsuD4uPLiVY7Gw/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vRFN2TUNBd3N1Zk15WmVMeXQtYWN0b3ItOVFtQ1ZwbHdZZ3VIOUZuZEotNEM2bm9oVWE2RC15Y29tYmluYXRvci1zY3JhcGVyLWFwaS1sb2dvLnBuZw.webp){kind=avatar}
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Accepts subreddit, post, user or search URLs.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "mode": { "title": "Mode", "enum": [ "auto", "subreddit", "post", "user", "search" ], "type": "string", "description": "Forces a specific mode. Auto detects based on the provided URL(s).", "default": "auto" }, "searchQueries": { "title": "Search queries", "type": "array", "description": "Queries to search on Reddit when using search mode.", "items": { "type": "string" } }, "timeRange": { "title": "Time range", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Filter posts by time range (used for subreddits and search).", "default": "all" }, "sortBy": { "title": "Sort by", "enum": [ "relevance", "hot", "top", "new", "comments", "rising" ], "type": "string", "description": "Sorting for listings and search.", "default": "hot" }, "maxItems": { "title": "Max items", "type": "integer", "description": "Maximum number of results (posts/comments/users/meta) to output.", "default": 200 }, "maxCommentsPerPost": { "title": "Max comments per post", "type": "integer", "description": "Limit comments scraped per post. Use 0 to skip comment scraping.", "default": 50 }, "expandCommentReplies": { "title": "Expand comment replies", "type": "boolean", "description": "When true, recursively expands 'more' replies to the specified depth.", "default": true }, "maxCommentDepth": { "title": "Max comment depth", "type": "integer", "description": "Maximum depth for nested comment replies expansion.", "default": 5 }, "includePosts": { "title": "Include posts", "type": "boolean", "description": "Include post records in the output.", "default": true }, "includeComments": { "title": "Include comments", "type": "boolean", "description": "Include comments for posts. Set to false to skip comments.", "default": true }, "includeUsers": { "title": "Include users", "type": "boolean", "description": "Include user profiles (about) for encountered authors and commenters.", "default": false }, "includeSubredditMeta": { "title": "Include subreddit meta", "type": "boolean", "description": "Include subreddit metadata (about, moderators, rules).", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Configuration of proxy servers. Use Apify proxy for reliability when scraping Reddit." }, "extendOutputFunction": { "title": "Extend output function", "type": "string", "description": "A function that takes ({ data, request, helpers }) and returns a modified or additional object to merge into the output.", "default": "async ({ data, request, helpers }) => { return data; }" }, "debugLog": { "title": "Debug log", "type": "boolean", "description": "Enable verbose logging for debugging.", "default": false } } }, "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 } } } } } } } } }}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 Plus from the options below:
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