{ "openapi": "3.0.1", "info": { "title": "Event Organizer Contacts: Luma & Eventbrite Host Emails", "description": "Event organizer and host contact finder for Luma and Eventbrite. Give events, organizer pages or a city; get one row per organizer with website, X, Instagram, LinkedIn and the public email on their own site. $0.01 per organizer with an email, $0.002 socials only, nothing found free.", "version": "0.1", "x-build-id": "o1wSfC2GY0YVSfNGA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/datagleaner~event-organizer-contacts/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-datagleaner-event-organizer-contacts", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/datagleaner~event-organizer-contacts/runs": { "post": { "operationId": "runs-sync-datagleaner-event-organizer-contacts", "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/datagleaner~event-organizer-contacts/run-sync": { "post": { "operationId": "run-sync-datagleaner-event-organizer-contacts", "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": { "lumaPlaces": { "title": "Luma cities or calendars", "type": "array", "description": "Luma city pages such as `sf`, `nyc`, `london`, `berlin` or `tokyo` (or full links like https://luma.com/sf), and Luma calendar pages (community pages such as https://luma.com/oss4ai). Every organizer of the upcoming events listed there is returned: the calendar itself and each host.", "items": { "type": "string" } }, "eventbriteCities": { "title": "Eventbrite cities", "type": "array", "description": "Eventbrite locations: a slug such as `ny--new-york` or `united-kingdom--london`, a name such as `Austin, TX` or `london`, `online`, or a full Eventbrite search link (https://www.eventbrite.com/d/...). The organizers of the events found there are returned.", "items": { "type": "string" } }, "eventbriteKeyword": { "title": "Eventbrite keyword", "type": "string", "description": "Optional. Narrows the Eventbrite city search to a topic, for example `tech`, `startup` or `wine tasting`. Given without a city, it searches online events." }, "eventUrls": { "title": "Event URLs", "type": "array", "description": "Luma event links (https://luma.com/abc123 or lu.ma/abc123) or Eventbrite event links (https://www.eventbrite.com/e/...). Returns each event's organizers and hosts.", "items": { "type": "string" } }, "organizerUrls": { "title": "Organizer URLs", "type": "array", "description": "Organizer pages to look up directly: Eventbrite organizer profiles (https://www.eventbrite.com/o/name-123456), Luma calendars (https://luma.com/oss4ai) or Luma user profiles (https://luma.com/user/name).", "items": { "type": "string" } }, "datasetId": { "title": "Dataset ID (from another Actor)", "type": "string", "description": "Optional. Read Eventbrite organizers from this dataset, for example the results of an Eventbrite scraper, and add them to the inputs above. Each item's organizer link or id (`primary_organizer.url`, `organizerUrl`, `organizer_id`, `primary_organizer_id`) is used, else its event link (`url`, `eventUrl`); items with neither are skipped. In an integration use `{{resource.defaultDatasetId}}`." }, "datasetField": { "title": "Link field in the dataset", "type": "string", "description": "Optional. Name of the field that holds the Eventbrite organizer or event link when it is not one of the usual ones. Tried first." }, "maxDatasetItems": { "title": "Max organizers and events from the dataset", "minimum": 1, "type": "integer", "description": "Stop reading the dataset after this many unique organizers and events. The Max organizers limit below still applies to the output.", "default": 1000 }, "maxOrganizers": { "title": "Max organizers", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Stop collecting after this many unique organizers across all inputs. Each organizer is one row, however many of its events were seen.", "default": 100 }, "followWebsites": { "title": "Look for an email on the organizer's website", "type": "boolean", "description": "Visit up to 2 pages of each organizer's own website (the home page, then its contact page if needed) and collect the public email, phone and missing socials. Off: only the platform profile is used, which is faster but rarely has an email.", "default": true }, "onlyWithEmail": { "title": "Only organizers with an email", "type": "boolean", "description": "Output only organizers where a public email was found. Organizers left out are not charged.", "default": false }, "maxConcurrency": { "title": "Organizers in parallel", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many organizers are looked up at the same time.", "default": 5 }, "delaySecs": { "title": "Pacing (seconds)", "minimum": 0, "maximum": 30, "type": "integer", "description": "A random pause of up to this many seconds before each Luma or Eventbrite request and each website visit. Raise it on very large runs.", "default": 1 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional. Defaults to no proxy. Use one only if Luma or Eventbrite start answering with errors on large runs." } } }, "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 }, "PROXY_UNBLOCKER_UNITS": { "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 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } } } } } } } } }