# Luma/Cerebral Valley (`petroshong/developer-community-manager-event-search`) Actor Scrapes Luma and Cerebral Valley for events by city, date range, and keywords. Returns a normalized dataset: title, URL, start/end time, venue, city, organizer, description, price. Deduplicated and filtered so results match your chosen location and dates. - **URL**: https://apify.com/petroshong/developer-community-manager-event-search.md - **Developed by:** [Petros Hong](https://apify.com/petroshong) (community) - **Categories:** Automation, Social media, Other - **Stats:** 7 total users, 3 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results 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 ## Events Agent – Apify Actor Apify Actor that finds events by **location**, **date window**, and **keywords** from **Luma** and **Cerebral Valley**, then outputs a normalized, deduplicated dataset. Use separate actors for Meetup or Google if needed. ### Sources - **Luma** (lu.ma) – city-specific event pages (SF, NYC, London, etc.) - **Cerebral Valley** – [cerebralvalley.ai/events](https://cerebralvalley.ai/events), pre-filtered by city - **Extra URLs** (optional) – any event or list page URLs you add in `sources.extraUrls` ### How location filtering works | Layer | What it does | |-------|-------------| | **Luma city page** | Builds a city-specific URL (e.g. `lu.ma/sf`) so only local events are listed | | **CV list pre-filter** | Reads event-card text on the global CV page and drops cards that mention a conflicting city or "Online" | | **Post-crawl city filter** | Rejects events whose location fields clearly belong to a different city | | **Post-crawl country filter** | Rejects events from a different country (US/UK/CA normalized) | | **Online detection** | Online-only events are excluded when a physical city is requested; hybrid events pass through | ### Input schema (summary) | Field | Type | Default | |-------|------|---------| | `location` | `{ city?, region?, country? }` | `{}` – city filters by city; country adds secondary filter | | `keywords` | string[] | `[]` – annotates events with `matchedKeywords` | | `startDate` | date string | today (America/Los_Angeles) | | `endDate` | date string | start + 14 days | | `sources` | `{ luma, cerebralValley, extraUrls[] }` | both on, no extras | | `maxEventsPerSource` | 1–50 | 25 | | `headless` | boolean | true | | `proxyConfiguration` | Apify proxy object | optional | | `debug` | boolean | false | Date formats accepted: `YYYY-MM-DD`, `MM/DD/YYYY`, `DD.MM.YYYY`. Start date must be on or before end date. ### Run locally 1. **Install and build** ```bash npm install npm run build ```` 2. **Run with local storage** ```bash ## Linux/Mac export APIFY_LOCAL_STORAGE_DIR=./storage ## Windows set APIFY_LOCAL_STORAGE_DIR=./storage npm start ``` Put your input at `./storage/key_value_stores/default/INPUT.json` or use the Apify CLI. 3. **Example input** (see `.actor/input.json`) ```json { "location": { "city": "San Francisco", "region": "CA", "country": "USA" }, "keywords": ["AI", "startup", "tech"], "sources": { "luma": true, "cerebralValley": true, "extraUrls": [] }, "maxEventsPerSource": 25 } ``` ### Run timeout and event count Default run options: **timeout 3000s** (50 min), **memory 2048 MB**. - **Quick run:** `maxEventsPerSource: 5` → ~12 requests, finishes in a few minutes. - **Standard:** `maxEventsPerSource: 25` → ~52 requests, well within 3000s. - **Maximum:** `maxEventsPerSource: 50` → ~102 requests, fits within 3000s. ### Output (normalized event) Results are deduplicated (stable ID + fuzzy title/time/city match) and filtered to real events only. Each dataset item includes: - **`url`** – event page URL - **`title`** – event title - **`date`** – YYYY-MM-DD from start time - **`time`** – HH:mm from start time - **`company`** – primary company (organizer or first company involved) - **`description`** – event description Plus when available: `startTime`, `endTime`, `venueName`, `address`, `city`, `region`, `country`, `lat`, `lon`, `isOnline`, `attendanceType`, `organizerName`, `companiesInvolved[]`, `speakers[]`, `tags`, `matchedKeywords`, `imageUrl`, `scrapedFromUrls`, and more. ### Scripts - `npm run build` – compile TypeScript to `dist/` - `npm start` – run `dist/main.js` - `npm run lint` – ESLint on `src/` - `npm test` – run Jest unit tests ### Extending Add `src/sources/.ts` with `enqueue*` and `parse*Page` functions, then wire them in `main.ts`. # Actor input Schema ## `location` (type: `object`): Where to search. City filters results to that city (excluding online-only events). Country adds a secondary filter. ## `keywords` (type: `array`): Annotate events with matched keywords (matched in title, description, tags). Leave empty to skip keyword matching. ## `daysFromToday` (type: `integer`): Optional. Single day only: the calendar date N days after today. 1 = tomorrow only, 2 = the day after tomorrow only. Ignored if you set both Start date and End date in the run input. ## `weeksFromToday` (type: `integer`): Optional. Inclusive. 1 = next 7 days including today. Ignored if Start date / End date are both provided. ## `monthsFromToday` (type: `integer`): Optional. Inclusive. 1 = through the day before the same date next month. Ignored if Start date / End date are both provided. ## `startDate` (type: `string`): Start of date range. YYYY-MM-DD, MM/DD/YYYY, or DD.MM.YYYY. Leave empty for today (or use Weeks/Months from today). ## `endDate` (type: `string`): End of date range. Must be on or after start date. Leave empty for start + 14 days (or use Weeks/Months from today). ## `sortOutputByDate` (type: `boolean`): When enabled, dataset items are sorted by date then time. When disabled, items are pushed as crawled (resurrection-safe). ## `sources` (type: `object`): Toggle Luma and Cerebral Valley. Optionally add extra event or list page URLs. ## `maxEventsPerSource` (type: `integer`): Max event pages to fetch per source. Default 25 fits the 4000s timeout comfortably. Use 50 for maximum coverage. ## `headless` (type: `boolean`): Run browser in headless mode. Uncheck for visual debugging. ## `proxyConfiguration` (type: `object`): Optional Apify proxy to reduce blocking. Leave empty for direct connections. ## `debug` (type: `boolean`): Include raw extracted data in output and enable verbose logging. ## Actor input object example ```json { "location": {}, "keywords": [], "startDate": "", "endDate": "", "sortOutputByDate": true, "sources": { "luma": true, "cerebralValley": true, "extraUrls": [] }, "maxEventsPerSource": 25, "headless": true, "debug": false } ``` # Actor output Schema ## `results` (type: `string`): Event records in the default dataset. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("petroshong/developer-community-manager-event-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 = {} # Run the Actor and wait for it to finish run = client.actor("petroshong/developer-community-manager-event-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 '{}' | apify call petroshong/developer-community-manager-event-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=petroshong/developer-community-manager-event-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Luma/Cerebral Valley", "description": "Scrapes Luma and Cerebral Valley for events by city, date range, and keywords. Returns a normalized dataset: title, URL, start/end time, venue, city, organizer, description, price. Deduplicated and filtered so results match your chosen location and dates.", "version": "0.0", "x-build-id": "j30a6cmsIGgTeDAQJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/petroshong~developer-community-manager-event-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-petroshong-developer-community-manager-event-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/petroshong~developer-community-manager-event-search/runs": { "post": { "operationId": "runs-sync-petroshong-developer-community-manager-event-search", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/petroshong~developer-community-manager-event-search/run-sync": { "post": { "operationId": "run-sync-petroshong-developer-community-manager-event-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "location": { "title": "Location", "type": "object", "description": "Where to search. City filters results to that city (excluding online-only events). Country adds a secondary filter.", "properties": { "city": { "type": "string", "title": "City", "description": "City name (e.g. San Francisco, New York, London). Used to filter Luma by city page and exclude events from other cities.", "editor": "textfield", "default": "" }, "region": { "type": "string", "title": "Region / State", "description": "State or region code (e.g. CA). Used as metadata on output events.", "editor": "textfield", "default": "" }, "country": { "type": "string", "title": "Country", "description": "Country name or code (e.g. USA, UK). Filters out events from other countries.", "editor": "textfield", "default": "" } }, "default": {} }, "keywords": { "title": "Keywords", "type": "array", "description": "Annotate events with matched keywords (matched in title, description, tags). Leave empty to skip keyword matching.", "default": [], "items": { "type": "string" } }, "daysFromToday": { "title": "Days from today", "minimum": 1, "maximum": 365, "type": "integer", "description": "Optional. Single day only: the calendar date N days after today. 1 = tomorrow only, 2 = the day after tomorrow only. Ignored if you set both Start date and End date in the run input." }, "weeksFromToday": { "title": "Weeks from today", "minimum": 1, "maximum": 52, "type": "integer", "description": "Optional. Inclusive. 1 = next 7 days including today. Ignored if Start date / End date are both provided." }, "monthsFromToday": { "title": "Months from today", "minimum": 1, "maximum": 24, "type": "integer", "description": "Optional. Inclusive. 1 = through the day before the same date next month. Ignored if Start date / End date are both provided." }, "startDate": { "title": "Start date", "type": "string", "description": "Start of date range. YYYY-MM-DD, MM/DD/YYYY, or DD.MM.YYYY. Leave empty for today (or use Weeks/Months from today).", "default": "" }, "endDate": { "title": "End date", "type": "string", "description": "End of date range. Must be on or after start date. Leave empty for start + 14 days (or use Weeks/Months from today).", "default": "" }, "sortOutputByDate": { "title": "Sort output by date", "type": "boolean", "description": "When enabled, dataset items are sorted by date then time. When disabled, items are pushed as crawled (resurrection-safe).", "default": true }, "sources": { "title": "Sources", "type": "object", "description": "Toggle Luma and Cerebral Valley. Optionally add extra event or list page URLs.", "properties": { "luma": { "type": "boolean", "title": "Luma (lu.ma)", "description": "Include events from Luma city page.", "editor": "checkbox", "default": true }, "cerebralValley": { "type": "boolean", "title": "Cerebral Valley", "description": "Include events from cerebralvalley.ai/events (pre-filtered by city).", "editor": "checkbox", "default": true }, "extraUrls": { "type": "array", "items": { "type": "string" }, "title": "Extra URLs", "description": "Additional event or list page URLs. Direct event pages (with JSON-LD) are parsed immediately; list pages are crawled for links.", "editor": "stringList", "default": [] } }, "default": { "luma": true, "cerebralValley": true, "extraUrls": [] } }, "maxEventsPerSource": { "title": "Max events per source", "minimum": 1, "maximum": 50, "type": "integer", "description": "Max event pages to fetch per source. Default 25 fits the 4000s timeout comfortably. Use 50 for maximum coverage.", "default": 25 }, "headless": { "title": "Headless browser", "type": "boolean", "description": "Run browser in headless mode. Uncheck for visual debugging.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional Apify proxy to reduce blocking. Leave empty for direct connections." }, "debug": { "title": "Debug mode", "type": "boolean", "description": "Include raw extracted data in output and 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 } } } } } } } } } } ```