{ "openapi": "3.0.1", "info": { "title": "Event Scraper Pro", "description": "Aggregate upcoming events from Meetup, Lu.ma and Eventbrite into one deduplicated dataset: title, date, venue, address, coordinates, category, image and links. Meetup and Lu.ma rows add RSVP counts and organizer details. Every run reports exactly which searches completed.", "version": "2.0", "x-build-id": "LFz351t1gkwxdiJPb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/webdatalabs~event-scraper-pro/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-webdatalabs-event-scraper-pro", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/webdatalabs~event-scraper-pro/runs": { "post": { "operationId": "runs-sync-webdatalabs-event-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/webdatalabs~event-scraper-pro/run-sync": { "post": { "operationId": "run-sync-webdatalabs-event-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "cities" ], "properties": { "keywords": { "title": "Keywords", "minItems": 1, "type": "array", "description": "Topics to search for (e.g. tech, AI, startup, design). Eventbrite and Meetup run one search per keyword AND per city, so 11 keywords x 3 cities = 33 searches. If a run stops before finishing them all, it names the exact keyword/city pairs it skipped in the run status and the OUTPUT record — keep the list short if you need every keyword covered.", "items": { "type": "string" }, "default": [ "tech", "startup" ] }, "cities": { "title": "Cities", "minItems": 1, "type": "array", "description": "Cities to search (e.g. Berlin, Munich, London). Every keyword is searched in every city, so cities multiply the work. Searches are interleaved across cities, so a run that stops early still reaches every city rather than exhausting the first one.", "items": { "type": "string" }, "default": [ "Berlin" ] }, "country": { "title": "Country", "enum": [ "DE", "US", "GB", "FR", "NL", "AT", "CH", "ES", "IT", "PL", "CA", "AU", "IE", "SE" ], "type": "string", "description": "Country the cities are in (used to build the correct platform URLs).", "default": "DE" }, "platforms": { "title": "Platforms", "minItems": 1, "uniqueItems": true, "type": "array", "description": "Which sources to scrape. Meetup & Lu.ma are fast HTTP and include RSVP/guest counts. Eventbrite runs a browser over a residential proxy (auto-enabled), so it is slower and capped at a 180-second budget — with many keywords x cities it will not finish every search, and the run states in its status message and OUTPUT record exactly which combinations were skipped.", "items": { "type": "string", "enum": [ "meetup", "luma", "eventbrite" ], "enumTitles": [ "Meetup (RSVP counts + organizer)", "Lu.ma (guest counts, city-centric)", "Eventbrite (browser + residential; no RSVP/price, organizer link only)" ] }, "default": [ "meetup", "luma", "eventbrite" ] }, "dateFrom": { "title": "Date From", "type": "string", "description": "Earliest event start date (YYYY-MM-DD). Leave empty for today." }, "dateTo": { "title": "Date To", "type": "string", "description": "Latest event start date (YYYY-MM-DD). Leave empty for +1 month." }, "includeOnline": { "title": "Include online events", "type": "boolean", "description": "Include virtual/online events. Uncheck for in-person only.", "default": true }, "minAttendees": { "title": "Minimum attendees", "minimum": 0, "type": "integer", "description": "Only keep events with at least this many RSVPs/guests (0 = no filter). Applies to Meetup & Lu.ma only; Eventbrite has no public count and is always kept.", "default": 0 }, "includeFree": { "title": "Include free events", "type": "boolean", "description": "Include free/no-cost events.", "default": true }, "includePaid": { "title": "Include paid events", "type": "boolean", "description": "Include paid/ticketed events.", "default": true }, "maxItemsPerPlatform": { "title": "Max results per platform", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Hard cap on events per platform — the run stops the moment it is reached and you are never billed past it. Note this cap usually ends the run before all keyword/city searches happen: each Eventbrite search returns about 20 events, so a cap of 50 is met after roughly 3 searches. Raise the cap for broader keyword/city coverage. Eventbrite also has a 180-second budget that limits it to roughly 100-250 events per run no matter how high you set this; the run reports exactly how many searches completed.", "default": 50 }, "onlyNewEvents": { "title": "Only new events (incremental)", "type": "boolean", "description": "For scheduled/monitor runs: skip events already returned by previous runs of this exact query. Off by default so a normal run always returns the full result set.", "default": false }, "generateICS": { "title": "Generate calendar (.ics) file", "type": "boolean", "description": "Save an .ics calendar of the results to the Key-Value Store (importable into Google/Outlook/Apple Calendar).", "default": false }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "POST the results to this URL on completion (n8n/Zapier/Make). Leave empty to skip." }, "webhookHeaders": { "title": "Webhook headers", "type": "object", "description": "Optional headers for the webhook (e.g. an Authorization token)." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy for Meetup & Lu.ma. Automatic (datacenter) is enough for these two. Eventbrite automatically uses a residential proxy for reliable access. Switch this to RESIDENTIAL only if Meetup/Lu.ma start blocking.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } }