# Reddit Subreddit Posts Scraper (`receptional_blender/reddit-posts-harvester`) Actor Harvest posts from any subreddit through Reddit's public JSON API — no login, key or OAuth. Pick the sort (hot/new/top/rising) and timeframe, set how many posts you want, and receive clean JSON with title, author, score, comments, flair, URL, thumbnail and more. - **URL**: https://apify.com/receptional\_blender/reddit-posts-harvester.md - **Developed by:** [Assia Fadli](https://apify.com/receptional_blender) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Subreddit Posts Scraper **Reddit Subreddit Posts Scraper** harvests posts from any subreddit using Reddit's public JSON endpoints — **no login, no API key, no OAuth**. Point it at one subreddit or a whole list, choose how to sort (hot / new / top / rising) and how many posts you want, and get back clean, structured JSON ready for a spreadsheet, database or downstream workflow. Built for marketers, researchers, analysts and developers who need reliable Reddit post data without maintaining scraping infrastructure. ### What you get For every post the actor collects, it writes one dataset row with a clean, stable shape: | Field | Description | | --- | --- | | `subreddit` | The subreddit the post belongs to. | | `id` | Reddit's post id. | | `title` | Post title. | | `author` | Username of the poster. | | `score` | Net upvotes. | | `comments` | Number of comments. | | `url` | The post's outbound / content URL. | | `permalink` | Full `https://www.reddit.com/...` link to the post. | | `created` | Creation time as an ISO 8601 timestamp. | | `selftext` | The post body (empty string for link posts). | | `flair` | Link flair text, if any. | | `nsfw` | Whether the post is marked over-18. | | `upvoteRatio` | Fraction of votes that were upvotes. | | `thumbnail` | A genuine image thumbnail URL, or `null`. | | `domain` | Domain of the linked content. | If a subreddit can't be scraped (empty, private, banned, quarantined, misspelled, or Reddit blocked every attempt), the actor still writes a row — `{ "subreddit": "...", "error": "..." }` — so no requested subreddit is ever silently dropped, and the run still finishes successfully. ### Input | Field | Type | Required | Description | | --- | --- | --- | --- | | `subreddits` | array of strings | ✅ | Subreddits to harvest, with or without the `r/` prefix. | | `sort` | string | — | One of `hot`, `new`, `top`, `rising`. Defaults to `hot`. | | `timeframe` | string | — | Time window used for `top`: `hour`, `day`, `week`, `month`, `year`, `all`. Defaults to `week`. | | `maxPosts` | integer | — | Max posts collected per subreddit. Defaults to `50`. | | `proxyCountryCode` | string | — | Two-letter residential-proxy country code (e.g. `US`, `GB`, `DE`). Optional. | #### Example input ```json { "subreddits": ["programming", "webdev"], "sort": "top", "timeframe": "week", "maxPosts": 100 } ```` ### How it works For each subreddit the actor requests `https://www.reddit.com/r//.json?limit=100&t=&after=` and reads `data.children[].data`. It follows the `data.after` cursor to paginate automatically until `maxPosts` posts are collected or Reddit returns no further cursor. Reddit blocks requests that use the default (empty) User-Agent, so the actor uses [`got-scraping`](https://github.com/apify/got-scraping), which sends a realistic browser User-Agent and TLS fingerprint, and routes traffic through Apify's residential proxy. If a response looks like a block page (HTML body, or HTTP 403/429), the request is retried through a fresh proxy IP and finally as a direct request before an error row is recorded. > **Note:** Running from a datacenter/home IP may be rate-limited or blocked by Reddit. Running on > the Apify platform with the residential proxy enabled is the reliable way to use this actor. ### Pricing This actor uses the **pay-per-event** model: you are charged once per post successfully delivered to the dataset (`post-scraped`). Error rows are never charged, and the run stops automatically once your event budget is reached. ### Running 1. Provide your `subreddits` list (and optionally `sort`, `timeframe`, `maxPosts`, `proxyCountryCode`). 2. Run the actor. 3. Collect results from the default dataset as JSON, CSV, Excel or via the API. ### Tech Written in **TypeScript** on the Apify SDK. HTTP-only, so builds are fast and runs are cheap. ### License MIT © Assia Fadli # Actor input Schema ## `subreddits` (type: `array`): One or more subreddits to harvest (with or without the 'r/' prefix). Each subreddit is fetched independently. ## `sort` (type: `string`): How to sort the posts within each subreddit. ## `timeframe` (type: `string`): Time window used when Sort is set to 'Top'. Ignored for the other sorts. ## `maxPosts` (type: `integer`): Maximum number of posts to collect for each subreddit. Reddit returns up to 100 posts per page; the actor paginates automatically until this limit is reached. ## `proxyCountryCode` (type: `string`): Two-letter country code for the residential proxy (e.g. US, GB, DE). Leave empty to use any country. ## Actor input object example ```json { "subreddits": [ "technology", "science" ], "sort": "hot", "timeframe": "week", "maxPosts": 50, "proxyCountryCode": "US" } ``` # 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 = { "subreddits": [ "programming", "webdev" ] }; // Run the Actor and wait for it to finish const run = await client.actor("receptional_blender/reddit-posts-harvester").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 = { "subreddits": [ "programming", "webdev", ] } # Run the Actor and wait for it to finish run = client.actor("receptional_blender/reddit-posts-harvester").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 '{ "subreddits": [ "programming", "webdev" ] }' | apify call receptional_blender/reddit-posts-harvester --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=receptional_blender/reddit-posts-harvester", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Subreddit Posts Scraper", "description": "Harvest posts from any subreddit through Reddit's public JSON API — no login, key or OAuth. Pick the sort (hot/new/top/rising) and timeframe, set how many posts you want, and receive clean JSON with title, author, score, comments, flair, URL, thumbnail and more.", "version": "1.0", "x-build-id": "bM6p0y9ZHtKVjE7PS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/receptional_blender~reddit-posts-harvester/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-receptional_blender-reddit-posts-harvester", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/receptional_blender~reddit-posts-harvester/runs": { "post": { "operationId": "runs-sync-receptional_blender-reddit-posts-harvester", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/receptional_blender~reddit-posts-harvester/run-sync": { "post": { "operationId": "run-sync-receptional_blender-reddit-posts-harvester", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "subreddits" ], "properties": { "subreddits": { "title": "Subreddits", "type": "array", "description": "One or more subreddits to harvest (with or without the 'r/' prefix). Each subreddit is fetched independently.", "items": { "type": "string" } }, "sort": { "title": "Sort", "enum": [ "hot", "new", "top", "rising" ], "type": "string", "description": "How to sort the posts within each subreddit.", "default": "hot" }, "timeframe": { "title": "Timeframe (for 'Top' sort)", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Time window used when Sort is set to 'Top'. Ignored for the other sorts.", "default": "week" }, "maxPosts": { "title": "Max posts per subreddit", "minimum": 1, "type": "integer", "description": "Maximum number of posts to collect for each subreddit. Reddit returns up to 100 posts per page; the actor paginates automatically until this limit is reached.", "default": 50 }, "proxyCountryCode": { "title": "Proxy country code (optional)", "type": "string", "description": "Two-letter country code for the residential proxy (e.g. US, GB, DE). Leave empty to use any country." } } }, "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 } } } } } } } } } } ```