# Reddit Post Scraper (`crw/reddit-post-scraper`) Actor Search Reddit and extract posts at scale — no login, no cookies. Get full post body, vote counts, upvote ratios, authors, and timestamps. Filter by time range and sort order. Perfect for market research, sentiment analysis, and AI training datasets. - **URL**: https://apify.com/crw/reddit-post-scraper.md - **Developed by:** [CRW](https://apify.com/crw) (community) - **Categories:** Automation, Social media, News - **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results 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 Scraper Search Reddit and extract posts at scale — no login, no cookies, no manual scrolling. Type in any keyword. Get back a clean dataset with full post body, vote counts, upvote ratios, authors, and timestamps. Everything you'd see browsing Reddit, delivered as structured data. --- ### Who is this for? **Market researchers & brand analysts** Find out what people are actually saying about your product, competitor, or industry. Reddit is where honest opinions live — surface them without spending hours reading threads. **Growth hackers & community builders** Spot trending discussions before they peak. Track which subreddits are talking about your niche and what's resonating with real users. **Data scientists & AI teams** Build training datasets, sentiment analysis pipelines, or trend models on top of authentic, long-form user content. Reddit has some of the richest natural language data on the internet. **Developers & automation engineers** Plug Reddit data directly into your pipeline via the Apify API, webhooks, or SDK. Full JSON output, exportable as CSV or Excel. --- ### What you get Every post comes with: | Field | Example | |-------|---------| | `title` | I built a 100% Free LinkedIn Job Scraper using n8n and Apify | | `body` | Full post text | | `url` | Direct link to the post | | `subredditName` | n8n | | `subredditId` | t5_36pcjp | | `authorName` | Strange-Primary-6896 | | `authorId` | t2_abc123 | | `createdAt` | 2026-05-05T17:04:39.569000+0000 | | `voteCount` | 17 | | `commentCount` | 23 | | `upvoteRatio` | 1.0 | | `contentType` | `text` / `image` / `video` / `multi_media` | | `images` | Image URLs (image and gallery posts only, `null` otherwise) | #### Sample records **Text post** (with full body): ```json { "id": "t3_1u8seak", "title": "The Iran deal.", "url": "https://www.reddit.com/r/Conservative/comments/1u8seak/the_iran_deal/", "subredditName": "Conservative", "subredditId": "t5_2qh6p", "authorName": "Environmental_Net947", "authorId": "t2_8kmvfmn2", "nsfw": false, "spoiler": false, "createdAt": "2026-06-18T01:10:16.818000+0000", "voteCount": 0, "commentCount": 78, "thumbnailUrl": null, "body": "I have an MA degree in International Politics and Economics...", "upvoteRatio": 0.425, "contentType": "text", "images": null } ```` **Image post** (with extracted image URL): ```json { "id": "t3_1sc9o3a", "title": "This is 9/11 but for Iran.", "url": "https://www.reddit.com/r/WhitePeopleTwitter/comments/1sc9o3a/this_is_911_but_for_iran/", "subredditName": "WhitePeopleTwitter", "subredditId": "t5_35n7t", "authorName": "GuiltyBathroom9385", "authorId": "t2_pylli29x5", "nsfw": false, "spoiler": false, "createdAt": "2026-04-04T13:46:22.422000+0000", "voteCount": 32197, "commentCount": 722, "thumbnailUrl": "https://preview.redd.it/pi61dsf8h6tg1.jpeg?width=140&height=140&crop=1%3A1%2Csmart&auto=webp&s=d1a4fffcc72ba106ec7af4f76701983a4d1d6835", "body": null, "upvoteRatio": 0.961, "contentType": "image", "images": [ "https://i.redd.it/pi61dsf8h6tg1.jpeg" ] } ``` *** ### Getting started #### 1. Set your input | Parameter | Required | Description | |-----------|----------|-------------| | `query` | Yes | Search keyword (e.g. `"apify scraper"`, `"chatgpt alternatives"`) | | `maxResults` | No | How many posts to collect — between 10 and 500 (default: 100) | | `timeFilter` | No | Time range: `all` / `year` / `month` / `week` / `day` / `hour` (default: `all`) | | `sortOrder` | No | Sort by: `relevance` / `hot` / `top` / `new` / `comments` (default: `relevance`) | #### 2. Run it Click **Start** in the Apify console, or use the API: ```json { "query": "apify scraper", "maxResults": 100, "timeFilter": "month", "sortOrder": "top" } ``` #### 3. Get your data Results land in your Apify dataset as each batch completes. Export as **JSON**, **CSV**, or **Excel** — or stream directly into your app via the Apify API. *** ### For developers #### JavaScript / TypeScript ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_API_TOKEN' }); const run = await client.actor('YOUR_ACTOR_ID').call({ query: 'web scraping tools', maxResults: 200, timeFilter: 'month', sortOrder: 'top', }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` #### Python ```python from apify_client import ApifyClient client = ApifyClient('YOUR_API_TOKEN') run = client.actor('YOUR_ACTOR_ID').call(run_input={ 'query': 'web scraping tools', 'maxResults': 200, 'timeFilter': 'month', 'sortOrder': 'top', }) for item in client.dataset(run['defaultDatasetId']).iterate_items(): print(item) ``` *** ### Limitations - **Volume:** Up to 500 posts per run. - **Body text:** Only available on text posts. Image and link posts return `null` for `body`. *** ### You Might Also Need **[Reddit Subreddit Scraper](https://apify.com/crw/reddit-subreddit-scraper)** Already know which community you care about? Instead of searching across all of Reddit, this actor pulls the full post feed of a specific subreddit — sorted by hot, new, top, or rising. Great for keeping a pulse on r/MachineLearning, r/entrepreneur, or any niche you're watching closely. # Actor input Schema ## `query` (type: `string`): The search query (e.g., 'apify scraper', 'web scraping python') ## `maxResults` (type: `integer`): Maximum number of posts to collect (min 10, max 500) ## `timeFilter` (type: `string`): Filter posts by time range ## `sortOrder` (type: `string`): Sort order for search results ## Actor input object example ```json { "query": "apify", "maxResults": 100, "timeFilter": "all", "sortOrder": "relevance" } ``` # Actor output Schema ## `api` (type: `string`): REST API endpoint to download the dataset programmatically. # 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 = { "query": "apify" }; // Run the Actor and wait for it to finish const run = await client.actor("crw/reddit-post-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 = { "query": "apify" } # Run the Actor and wait for it to finish run = client.actor("crw/reddit-post-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 '{ "query": "apify" }' | apify call crw/reddit-post-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crw/reddit-post-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Post Scraper", "description": "Search Reddit and extract posts at scale — no login, no cookies. Get full post body, vote counts, upvote ratios, authors, and timestamps. Filter by time range and sort order. Perfect for market research, sentiment analysis, and AI training datasets.", "version": "0.0", "x-build-id": "yg4Hq9vZbRvhb6l5J" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crw~reddit-post-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crw-reddit-post-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crw~reddit-post-scraper/runs": { "post": { "operationId": "runs-sync-crw-reddit-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crw~reddit-post-scraper/run-sync": { "post": { "operationId": "run-sync-crw-reddit-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "properties": { "query": { "title": "Search Query", "minLength": 1, "type": "string", "description": "The search query (e.g., 'apify scraper', 'web scraping python')" }, "maxResults": { "title": "Max Results", "minimum": 10, "maximum": 500, "type": "integer", "description": "Maximum number of posts to collect (min 10, max 500)", "default": 100 }, "timeFilter": { "title": "Time Filter", "enum": [ "all", "year", "month", "week", "day", "hour" ], "type": "string", "description": "Filter posts by time range", "default": "all" }, "sortOrder": { "title": "Sort Order", "enum": [ "relevance", "hot", "top", "new", "comments" ], "type": "string", "description": "Sort order for search results", "default": "relevance" } } }, "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 } } } } } } } } } } ```