# Reddit Post & Comment Scraper (JSON API) (`andok/reddit-json-scraper`) Actor Bypass headless browsers. Extract Reddit posts, comments, and upvote ratios instantly using fast JSON endpoints for social listening. - **URL**: https://apify.com/andok/reddit-json-scraper.md - **Developed by:** [Andok](https://apify.com/andok) (community) - **Categories:** Developer tools - **Stats:** 39 total users, 7 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 post extracteds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Reddit Post & Comment Scraper Monitor Reddit discussions for product signals, brand mentions, and market trends. Extract structured post and comment data from any subreddit or thread URL using Reddit's public JSON endpoints — no browser, no login, no API key required. Processes hundreds of URLs per run with full control over item limits and timeouts. ### Features - **Subreddit scanning** — extract all visible posts from any subreddit listing page - **Thread comments** — scrape full comment threads from individual post URLs - **Structured output** — get titles, scores, authors, vote ratios, comment counts, and selftext in clean JSON - **No authentication** — uses Reddit's public `.json` endpoints, no API keys or login needed - **Bulk processing** — pass multiple URLs and extract up to 500 items per URL - **Pay-per-result** — only pay for posts and comments actually extracted ### Input | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `urls` | `array` | Yes | — | List of Reddit subreddit or post URLs to scrape | | `maxItems` | `integer` | No | `100` | Maximum number of posts or comments to extract per URL (1-500) | | `timeoutSeconds` | `integer` | No | `15` | HTTP request timeout in seconds per URL (1-120) | #### Input Example ```json { "urls": [ "https://www.reddit.com/r/Entrepreneur/", "https://www.reddit.com/r/technology/comments/1abc123/example_post" ], "maxItems": 50, "timeoutSeconds": 15 } ```` ### Output Each dataset item represents one Reddit post or comment with structured metadata. Key fields: - `id` (string) — Reddit item ID - `subreddit` (string) — subreddit name - `title` (string) — post title (null for comments) - `author` (string) — Reddit username - `score` (number) — net upvotes - `upvoteRatio` (number) — ratio of upvotes to total votes - `numComments` (number) — comment count (posts only) - `selftext` (string) — post body text or comment body - `permalink` (string) — full URL to the post or comment - `createdUtc` (number) — Unix timestamp - `isComment` (boolean) — true if the item is a comment #### Output Example ```json { "inputUrl": "https://www.reddit.com/r/Entrepreneur/.json", "id": "1h2x3y4", "subreddit": "Entrepreneur", "title": "How I grew my SaaS to $10k MRR in 6 months", "author": "startup_founder", "score": 342, "upvoteRatio": 0.94, "numComments": 87, "permalink": "https://www.reddit.com/r/Entrepreneur/comments/1h2x3y4/how_i_grew_my_saas/", "selftext": "I started building my product last year after leaving my job...", "createdUtc": 1709312400, "isComment": false } ``` ### Pricing | Event | Cost | |-------|------| | Post Extracted | Included in platform usage | You are charged per dataset item (post or comment) extracted. The actor respects the per-run max charge limit — processing stops automatically when the budget is reached. ### Use Cases - **Brand monitoring** — track mentions of your product or company across relevant subreddits - **Market research** — analyze sentiment and feature requests in niche communities - **Competitor analysis** — monitor what users say about competing products - **Content strategy** — find trending topics and high-engagement discussions in your industry - **Lead generation** — identify users asking for solutions your product solves - **Academic research** — collect discussion data for social media analysis ### Related Actors | Actor | What it adds | |-------|-------------| | [Subreddit Media Downloader](https://apify.com/andok/subreddit-media-downloader) | Download images and videos from the same subreddits you monitor | | [Hacker News API Scraper](https://apify.com/andok/hackernews-scraper) | Extend discussion monitoring to the tech/startup community | | [Google News Scraper](https://apify.com/andok/google-news-scraper) | Complement Reddit signals with mainstream news coverage | ### Notes - Reddit's public JSON endpoints may rate-limit aggressive requests. Keep `timeoutSeconds` reasonable and avoid running thousands of URLs in a single run. - Some subreddits or posts may be private, quarantined, or age-restricted — these will return an error in the output. - The actor appends `.json` to the provided URL automatically, so standard Reddit URLs work directly. # Actor input Schema ## `urls` (type: `array`): List of Reddit URLs to scrape. Supports subreddit URLs (e.g., https://www.reddit.com/r/Entrepreneur/) and individual post URLs with comments. ## `maxItems` (type: `integer`): Maximum number of posts or comments to extract per URL. Set lower for faster runs or higher for comprehensive extraction. ## `timeoutSeconds` (type: `integer`): HTTP request timeout in seconds. Increase if you experience timeouts on slow connections. ## Actor input object example ```json { "urls": [ "https://www.reddit.com/r/Entrepreneur/" ], "maxItems": 100, "timeoutSeconds": 15 } ``` # Actor output Schema ## `results` (type: `string`): No description ## `resultsCsv` (type: `string`): No description ## `run` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ "https://www.reddit.com/r/Entrepreneur/" ] }; // Run the Actor and wait for it to finish const run = await client.actor("andok/reddit-json-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "urls": ["https://www.reddit.com/r/Entrepreneur/"] } # Run the Actor and wait for it to finish run = client.actor("andok/reddit-json-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://www.reddit.com/r/Entrepreneur/" ] }' | apify call andok/reddit-json-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=andok/reddit-json-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Post & Comment Scraper (JSON API)", "description": "Bypass headless browsers. Extract Reddit posts, comments, and upvote ratios instantly using fast JSON endpoints for social listening.", "version": "1.0", "x-build-id": "Ye278RiMHsxbxvgQN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/andok~reddit-json-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-andok-reddit-json-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/andok~reddit-json-scraper/runs": { "post": { "operationId": "runs-sync-andok-reddit-json-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/andok~reddit-json-scraper/run-sync": { "post": { "operationId": "run-sync-andok-reddit-json-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "urls": { "title": "Reddit URLs", "minItems": 1, "type": "array", "description": "List of Reddit URLs to scrape. Supports subreddit URLs (e.g., https://www.reddit.com/r/Entrepreneur/) and individual post URLs with comments.", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of posts or comments to extract per URL. Set lower for faster runs or higher for comprehensive extraction.", "default": 100 }, "timeoutSeconds": { "title": "Timeout (seconds)", "minimum": 1, "maximum": 120, "type": "integer", "description": "HTTP request timeout in seconds. Increase if you experience timeouts on slow connections.", "default": 15 } } }, "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 } } } } } } } } } } ```