# Reddit Search Scraper (`crw/reddit-search-scraper`) Actor Search Reddit and extract structured data across all content types — posts, comments, communities, media, and people. No login required. Filter by time range and sort order. Perfect for market research, sentiment analysis, community discovery, and AI training datasets. - **URL**: https://apify.com/crw/reddit-search-scraper.md - **Developed by:** [CRW](https://apify.com/crw) (community) - **Categories:** Automation, Social media, News - **Stats:** 2 total users, 1 monthly users, 94.7% 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 Search Scraper Search Reddit and extract structured data across all content types — posts, comments, communities, media, and people. No login, no cookies, no manual scrolling. **→ Enter a keyword and select a Search Type in the Input tab, then click Start.** --- ### What you get Each result includes a `dataType` field that identifies the content type. Here's what each type looks like: #### Posts (`searchType: "posts"`) ```json { "dataType": "post", "id": "t3_1u8s0g1", "title": "So.. did Iran win this conflict?", "url": "https://www.reddit.com/r/NoStupidQuestions/comments/1u8s0g1/so_did_iran_win_this_conflict/", "subredditName": "NoStupidQuestions", "subredditId": "t5_2w844", "authorName": "MarsupialThink4064", "authorId": "t2_8mxlchoh", "nsfw": false, "spoiler": false, "createdAt": "2026-06-18T00:52:28.818000+0000", "voteCount": 7656, "commentCount": 2520, "thumbnailUrl": null, "body": "After Iran and the US exchanged fire...", "upvoteRatio": 0.88, "contentType": "text", "images": null } ```` #### Comments (`searchType: "comments"`) ```json { "dataType": "comment", "id": "t1_np7f7jd", "postId": "t3_1oywew6", "postTitle": "20 years worth of spent nuclear fuel from a nuclear reactor", "postUrl": "https://www.reddit.com/r/Damnthatsinteresting/comments/1oywew6/...", "subredditName": "Damnthatsinteresting", "subredditId": "t5_2xxyj", "authorName": "FlatusSurprise", "body": "It's called a closed cycle fuel system and Japan has been doing it for decades...", "createdAt": "2025-11-16T20:35:43.105000+0000" } ``` #### Communities (`searchType: "communities"`) ```json { "dataType": "community", "id": "t5_2rzk9", "name": "PERSIAN", "url": "https://www.reddit.com/r/PERSIAN/", "description": "A community to discuss all things related to Iran and its people, culture, cuisine & history.", "nsfw": false, "weeklyVisitors": 25220, "weeklyPosts": 1090, "iconUrl": null } ``` #### Media (`searchType: "media"`) ```json { "dataType": "post", "id": "t3_1ud1rtp", "title": "What if USA had landed troops in Iran?", "url": "https://www.reddit.com/r/AlternateHistoryHub/comments/1ud1rtp/...", "subredditName": "AlternateHistoryHub", "subredditId": "t5_3c881", "authorName": "Acceptable-Tackle301", "authorId": "t2_25eeqwi7m9", "nsfw": false, "spoiler": false, "contentType": "image", "thumbnailUrl": "https://preview.redd.it/what-if-usa-had-landed-troops-in-iran-v0-esxarl5vdx8h1.jpg?...", "images": [ "https://preview.redd.it/what-if-usa-had-landed-troops-in-iran-v0-esxarl5vdx8h1.jpg?..." ] } ``` #### People (`searchType: "people"`) ```json { "dataType": "people", "id": "t2_1q5x7lnnrw", "name": "IndiaTodayGlobal", "url": "https://www.reddit.com/user/IndiaTodayGlobal/", "karma": 419118, "iconUrl": "https://styles.redditmedia.com/t5_eji7t4/styles/profileIcon_d8395d1jx13f1.jpg" } ``` *** ### Input | Parameter | Required | Default | Description | |-----------|----------|---------|-------------| | `query` | Yes | — | Search keyword (e.g. `"apify scraper"`, `"chatgpt alternatives"`) | | `searchType` | No | `posts` | `posts` / `comments` / `communities` / `media` / `people` | | `maxResults` | No | `100` | Number of results to collect — 1 to 500 | | `timeFilter` | No | `all` | `all` / `year` / `month` / `week` / `day` / `hour` — applies to posts and media | | `sortOrder` | No | `relevance` | `relevance` / `hot` / `top` / `new` / `comments` — applies to posts and media | Results are exported as **JSON**, **CSV**, or **Excel** from your Apify dataset. *** ### Output fields by type #### Posts & Media | Field | Description | |-------|-------------| | `dataType` | `"post"` | | `id` | Post ID (e.g. `t3_1u8s0g1`) | | `title` | Post title | | `url` | Direct link to the post | | `subredditName` | Subreddit name | | `subredditId` | Subreddit ID | | `authorName` | Author username | | `authorId` | Author ID | | `nsfw` | Whether the post is NSFW | | `spoiler` | Whether the post is marked as a spoiler | | `createdAt` | ISO 8601 timestamp | | `voteCount` | Net upvotes (posts only) | | `commentCount` | Number of comments (posts only) | | `upvoteRatio` | Upvote ratio 0–1 (posts only) | | `contentType` | `text` / `image` / `video` / `multi_media` / `link` | | `body` | Full post text (text posts only; `null` for others) | | `thumbnailUrl` | Thumbnail image URL | | `images` | Image URLs (image and gallery posts only) | #### Comments | Field | Description | |-------|-------------| | `dataType` | `"comment"` | | `id` | Comment ID (e.g. `t1_owbt1zt`) | | `postId` | Parent post ID | | `postTitle` | Parent post title | | `postUrl` | Link to the parent post | | `subredditName` | Subreddit name | | `subredditId` | Subreddit ID | | `authorName` | Comment author username | | `body` | Comment text | | `createdAt` | ISO 8601 timestamp | #### Communities | Field | Description | |-------|-------------| | `dataType` | `"community"` | | `id` | Subreddit ID (e.g. `t5_2rzk9`) | | `name` | Subreddit name | | `url` | Subreddit URL | | `description` | Community description | | `nsfw` | Whether the community is NSFW | | `weeklyVisitors` | Weekly visitor count | | `weeklyPosts` | Weekly post count | | `iconUrl` | Community icon image URL | #### People | Field | Description | |-------|-------------| | `dataType` | `"people"` | | `id` | User ID (e.g. `t2_12gbdz`) | | `name` | Username | | `url` | Profile URL | | `karma` | Total karma | | `iconUrl` | Avatar image URL | *** ### Use cases - **Brand & market research** — find what people say about a product across posts, comments, and communities - **Trend monitoring** — track rising discussions with `sortOrder: "new"` or `timeFilter: "day"` - **Community discovery** — use `searchType: "communities"` to find relevant subreddits for a topic - **Training data** — collect authentic text from posts and comments for NLP and sentiment models - **Influencer research** — use `searchType: "people"` to find active voices around a topic *** ### For developers #### JavaScript / TypeScript ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_API_TOKEN' }); const run = await client.actor('crw/reddit-search-scraper').call({ query: 'web scraping tools', searchType: 'posts', 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('crw/reddit-search-scraper').call(run_input={ 'query': 'web scraping tools', 'searchType': 'comments', 'maxResults': 200, 'timeFilter': 'month', }) for item in client.dataset(run['defaultDatasetId']).iterate_items(): print(item) ``` *** ### Limitations - Up to 500 results per run - `body` is only populated for text posts — image, video, and link posts return `null` - `timeFilter` and `sortOrder` apply to `posts` and `media` only; ignored for other search types - `voteCount`, `commentCount`, and `upvoteRatio` are not available for `media` results *** ### 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. # Actor input Schema ## `query` (type: `string`): The search query (e.g., 'apify scraper', 'web scraping python') ## `searchType` (type: `string`): What to search for — posts, comments, communities, media, or people ## `maxResults` (type: `integer`): Maximum number of results to collect (min 1, max 500) ## `timeFilter` (type: `string`): Filter results by time range (applies to posts and media) ## `sortOrder` (type: `string`): Sort order for results (applies to posts and media) ## Actor input object example ```json { "query": "apify", "searchType": "posts", "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-search-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-search-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-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crw/reddit-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Search Scraper", "description": "Search Reddit and extract structured data across all content types — posts, comments, communities, media, and people. No login required. Filter by time range and sort order. Perfect for market research, sentiment analysis, community discovery, and AI training datasets.", "version": "0.0", "x-build-id": "e6AK1cLFDyQOyhLmR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crw~reddit-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crw-reddit-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crw~reddit-search-scraper/runs": { "post": { "operationId": "runs-sync-crw-reddit-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crw~reddit-search-scraper/run-sync": { "post": { "operationId": "run-sync-crw-reddit-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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')" }, "searchType": { "title": "Search Type", "enum": [ "posts", "comments", "communities", "media", "people" ], "type": "string", "description": "What to search for — posts, comments, communities, media, or people", "default": "posts" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of results to collect (min 1, max 500)", "default": 100 }, "timeFilter": { "title": "Time Filter", "enum": [ "all", "year", "month", "week", "day", "hour" ], "type": "string", "description": "Filter results by time range (applies to posts and media)", "default": "all" }, "sortOrder": { "title": "Sort Order", "enum": [ "relevance", "hot", "top", "new", "comments" ], "type": "string", "description": "Sort order for results (applies to posts and media)", "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 } } } } } } } } } } ```