# Reddit Keyword Search (`morph_coder/reddit-keyword-search`) Actor Search Reddit posts by keywords (one search per keyword). Returns post title, body, votes, subreddit, and URL. Optional keyword relevance filter. - **URL**: https://apify.com/morph\_coder/reddit-keyword-search.md - **Developed by:** [Olek Coder](https://apify.com/morph_coder) (community) - **Categories:** Automation, Social media - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $3.00 / 1,000 reddit-posts This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Keyword Search **Actor ID:** `morph_coder~reddit-search` Search **public** Reddit posts by keywords. Each keyword runs as a separate Reddit search; matching posts are opened for full metadata (title, body, author, votes, subreddit, URL). > **Disclaimer:** This is an **unofficial** tool. It is **not affiliated with, endorsed by, or sponsored by Reddit, Inc.** Users are responsible for complying with [Reddit's User Agreement](https://www.redditinc.com/policies/user-agreement), applicable laws, and data-protection regulations in their jurisdiction. ### What it does Use this Actor to monitor brand mentions, track topics, or collect publicly visible Reddit posts that match your keywords — for market research, social listening, or content discovery. - Runs **one Reddit search per keyword** (e.g. separate searches for `adidas` and `nike`) - Visits each post page and saves structured data to a dataset - Deduplicates posts found by multiple keywords - Optional **keyword relevance filter** for cleaner results - Residential proxy support (recommended for stable runs) ### Legal notice & data privacy This Actor collects **only publicly available information** that any visitor can see on Reddit without logging in — for example post titles, public post text, subreddit names, public usernames, vote counts, and public URLs. It does **not**: - Access private messages, private subreddits, or content behind login walls - Bypass authentication or technical access controls - Collect special categories of personal data by design **User responsibilities:** You must use this Actor lawfully and only for purposes permitted by Reddit's terms and applicable regulations (including GDPR and similar privacy laws where they apply). Do not use collected data to identify, profile, or contact individuals without a valid legal basis. You are responsible for retention, lawful processing, and honoring data-subject rights for any personal data you obtain. The Actor developer does not control how you use the output. ### Features - Separate search per keyword with `matchedKeyword` and `searchQuery` in output - Sort and time range (`new`, `day`, `week`, etc.) - Optional subreddit filter - `filterByKeywords` — save only posts where a keyword appears in title, body, or URL - `postDateLimit` — skip posts older than a given date - Pay per saved post (`reddit-post` or `reddit-post-filtered` events) - Fail-fast crawling (no retries) — tune reliability via delays and proxy ### Input | Field | Default | Description | |-------|---------|-------------| | `keywords` | `["adidas", "nike"]` | Keywords or phrases — **one Reddit search each** (required) | | `sort` | `new` | `relevance`, `hot`, `top`, `new`, `comments` | | `time` | `day` | `hour`, `day`, `week`, `month`, `year`, `all` | | `maxPosts` | `10` | Maximum posts saved to the dataset (never exceeded) | | `includeNSFW` | `true` | When `true`, Reddit search includes 18+ (NSFW) posts (`include_over_18=on`). Set `false` to exclude adult-marked content from search results. | | `subreddit` | — | Limit search to one subreddit (name without `r/`, e.g. `soccer`) | | `filterByKeywords` | `false` | When `true`, only posts containing at least one keyword in title, body, or URL are saved and charged. **Recommended for cleaner results.** | | `postDateLimit` | — | Skip posts older than this date. ISO 8601, e.g. `2026-05-20` or `2026-05-20T00:00:00.000Z` (UTC). Leave empty to disable. | | `proxy` | RESIDENTIAL | Apify proxy — residential recommended | | `requestDelayMs` | `1000` | Delay before each page load (ms, ±25% jitter). Increase to 1500–3000 if you see rate limits. | | `maxConcurrency` | `4` | Parallel browser tabs (1–10) | | `debugMode` | `false` | Verbose logging | #### Recommended input for Store / production ```json { "keywords": ["your brand", "your product"], "sort": "new", "time": "day", "maxPosts": 50, "filterByKeywords": true, "includeNSFW": false, "proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` ### Output One dataset row per saved post: | Field | Description | |-------|-------------| | `dataType` | Always `post` | | `username` | Public Reddit username of the author | | `authorFlair` | Author flair text, or `null` | | `title` | Post title | | `body` | Post text (`""` for link/image posts with no selftext) | | `upVotes` | Upvote count | | `numberOfComments` | Comment count | | `communityName` | Subreddit (e.g. `r/soccer`) | | `url` | Canonical public post URL | | `searchQuery` | Reddit query that found this post | | `matchedKeyword` | Input keyword from that search | #### Example ```json { "dataType": "post", "username": "example_user", "authorFlair": null, "title": "Adidas vs Nike running shoes", "body": "Looking for recommendations...", "upVotes": 42, "numberOfComments": 15, "communityName": "r/running", "url": "https://www.reddit.com/r/running/comments/abc123/example/", "searchQuery": "adidas", "matchedKeyword": "adidas" } ``` ### Keyword filter When `filterByKeywords` is `true`, a post is saved and charged only if **at least one** input keyword appears in the title, body, or URL (case-insensitive). This removes obvious noise from Reddit search (e.g. posts that matched indirectly). You may receive **fewer than `maxPosts`** rows if many candidates are filtered out or fail to load. ### Limitations - **Public content only** — no private or login-only data - **Fail-fast** — failed requests are not retried (`maxRequestRetries: 0`); expect some loss; increase `requestDelayMs` or lower `maxConcurrency` to improve stability - **Fewer than `maxPosts`** — possible when search returns few results, many requests fail, or the keyword filter rejects posts - **Empty `body`** — normal for link posts, videos, and polls - **Rate limits** — Reddit may block or throttle; use residential proxy and reasonable delays - **No comments scraping** — only post-level fields, not individual comments - **Duplicate keywords across searches** — same post appears once; `matchedKeyword` reflects the first search that enqueued it ### Local development ```bash npm install npm run build npx apify run ``` Use `scripts/test-input.example.json` or set input in Apify Console. For cloud runs, connect the Git repository and deploy from your `dev` branch. ### Troubleshooting | Issue | What to try | |-------|-------------| | Few or zero results | Widen `time`, change `sort`, add keywords, or remove `subreddit` | | Slow or failing runs | Enable residential proxy; set `requestDelayMs` to 2000–3000; reduce `maxConcurrency` | | Noisy results | Set `filterByKeywords: true` | | Adult content in results | Set `includeNSFW: false` | | Empty `body` fields | Expected for link/media posts — check `title` and `url` | ### Pricing When **pay-per-event** is enabled on Apify Store: | Mode | Event | Description | |------|-------|-------------| | `filterByKeywords: false` | **`reddit-post`** | Each saved post from search (may include off-topic results) | | `filterByKeywords: true` | **`reddit-post-filtered`** | Each post verified to contain a keyword in title, body, or URL | Set **`apify-default-dataset-item`** price to **$0** to avoid double billing with dataset rows. Configure both custom events in Apify Console → Monetization (price the filtered event higher than raw). Platform usage (compute, proxy) is billed separately. ### Run via API ```http POST https://api.apify.com/v2/acts/olek_automate~reddit-search/runs?token=YOUR_TOKEN Content-Type: application/json { "keywords": ["adidas", "nike"], "maxPosts": 10, "filterByKeywords": true, "includeNSFW": false, "proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` Fetch results: ```http GET https://api.apify.com/v2/datasets/{defaultDatasetId}/items?token=YOUR_TOKEN ``` # Actor input Schema ## `keywords` (type: `array`): Keywords or phrases to search for. Each keyword runs as a separate Reddit search (reference actor style). ## `sort` (type: `string`): How to sort search results. ## `time` (type: `string`): Limit results to posts from this time period. ## `maxPosts` (type: `integer`): Maximum number of posts to save to the dataset. ## `includeNSFW` (type: `boolean`): Include not-safe-for-work content in search results. ## `postDateLimit` (type: `string`): ISO date — skip posts older than this. ## `subreddit` (type: `string`): Restrict search to a subreddit (without r/ prefix). ## `filterByKeywords` (type: `boolean`): When enabled, only posts containing at least one keyword in title, body, or URL are saved and charged. ## `proxy` (type: `object`): Apify proxy configuration. Residential proxy recommended. ## `requestDelayMs` (type: `integer`): Pause before each page load (±25% jitter). Default 1000. Use 1500–3000 to reduce rate limits; lower values are faster but may increase 403 errors. ## `maxConcurrency` (type: `integer`): Maximum parallel browser pages. ## `debugMode` (type: `boolean`): Enable verbose logging. ## Actor input object example ```json { "keywords": [ "adidas", "nike" ], "sort": "new", "time": "day", "maxPosts": 10, "includeNSFW": true, "filterByKeywords": false, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "requestDelayMs": 1000, "maxConcurrency": 4, "debugMode": false } ``` # Actor output Schema ## `results` (type: `string`): Dataset items from this run. # 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 = { "keywords": [ "adidas", "nike" ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("morph_coder/reddit-keyword-search").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 = { "keywords": [ "adidas", "nike", ], "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("morph_coder/reddit-keyword-search").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 '{ "keywords": [ "adidas", "nike" ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call morph_coder/reddit-keyword-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=morph_coder/reddit-keyword-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Keyword Search", "description": "Search Reddit posts by keywords (one search per keyword). Returns post title, body, votes, subreddit, and URL. Optional keyword relevance filter.", "version": "0.0", "x-build-id": "6cukkbZ0wJXxXhWbv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/morph_coder~reddit-keyword-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-morph_coder-reddit-keyword-search", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/morph_coder~reddit-keyword-search/runs": { "post": { "operationId": "runs-sync-morph_coder-reddit-keyword-search", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/morph_coder~reddit-keyword-search/run-sync": { "post": { "operationId": "run-sync-morph_coder-reddit-keyword-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Keywords", "type": "array", "description": "Keywords or phrases to search for. Each keyword runs as a separate Reddit search (reference actor style).", "items": { "type": "string" } }, "sort": { "title": "Sort", "enum": [ "relevance", "hot", "top", "new", "comments" ], "type": "string", "description": "How to sort search results.", "default": "new" }, "time": { "title": "Time range", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Limit results to posts from this time period.", "default": "day" }, "maxPosts": { "title": "Max posts", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of posts to save to the dataset.", "default": 10 }, "includeNSFW": { "title": "Include NSFW", "type": "boolean", "description": "Include not-safe-for-work content in search results.", "default": true }, "postDateLimit": { "title": "Post date limit", "type": "string", "description": "ISO date — skip posts older than this." }, "subreddit": { "title": "Subreddit", "type": "string", "description": "Restrict search to a subreddit (without r/ prefix)." }, "filterByKeywords": { "title": "Filter by keywords", "type": "boolean", "description": "When enabled, only posts containing at least one keyword in title, body, or URL are saved and charged.", "default": false }, "proxy": { "title": "Proxy", "type": "object", "description": "Apify proxy configuration. Residential proxy recommended." }, "requestDelayMs": { "title": "Delay between requests (ms)", "minimum": 0, "maximum": 30000, "type": "integer", "description": "Pause before each page load (±25% jitter). Default 1000. Use 1500–3000 to reduce rate limits; lower values are faster but may increase 403 errors.", "default": 1000 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum parallel browser pages.", "default": 4 }, "debugMode": { "title": "Debug mode", "type": "boolean", "description": "Enable verbose logging.", "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 } } } } } } } } } } ```