# Hubspot Data Import Actor (`jan.hranicky/hubspot-data-import-actor`) Actor - **URL**: https://apify.com/jan.hranicky/hubspot-data-import-actor.md - **Developed by:** [Jan Hranicky](https://apify.com/jan.hranicky) (community) - **Categories:** Automation, AI, Developer tools - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 undefined # Actor input Schema ## `hubspotAccessToken` (type: `string`): Your HubSpot access token. Works with both private app tokens (from Settings > Integrations > Private Apps) and OAuth access tokens. ## `datasetId` (type: `string`): Apify dataset containing leadsEnrichment[] rows per company. ## `importMode` (type: `string`): Only 'contacts' is supported. Each dataset item's leadsEnrichment[] rows are imported as HubSpot contacts. ## `companyUrlMapping` (type: `array`): Map company URLs to their HubSpot company IDs. Dataset items are matched via the 'originalStartUrl' field and leads are associated to the matched company. ## `dataMappings` (type: `array`): Map leadsEnrichment fields to HubSpot contact properties. 'source' must be a leadsEnrichment field name (e.g. 'email', 'firstName'); 'target' is the internal HubSpot contact property name (e.g. 'email', 'firstname'). ## `deduplication` (type: `string`): Existing-contact lookup key. 'email' matches on the HubSpot 'email' property; 'phone' matches on 'phone'. Leads missing the chosen value are skipped. ## Actor input object example ```json { "importMode": "contacts", "deduplication": "email" } ```` # Actor output Schema ## `results` (type: `string`): Individual import result for each company ## `summary` (type: `string`): Overall import summary with totals and counts # 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("jan.hranicky/hubspot-data-import-actor").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/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("jan.hranicky/hubspot-data-import-actor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call jan.hranicky/hubspot-data-import-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jan.hranicky/hubspot-data-import-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hubspot Data Import Actor", "version": "0.0", "x-build-id": "EV7HeGZG2iJzfcYWd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jan.hranicky~hubspot-data-import-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jan.hranicky-hubspot-data-import-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/jan.hranicky~hubspot-data-import-actor/runs": { "post": { "operationId": "runs-sync-jan.hranicky-hubspot-data-import-actor", "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/jan.hranicky~hubspot-data-import-actor/run-sync": { "post": { "operationId": "run-sync-jan.hranicky-hubspot-data-import-actor", "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": [ "hubspotAccessToken", "datasetId", "importMode", "companyUrlMapping", "dataMappings", "deduplication" ], "properties": { "hubspotAccessToken": { "title": "HubSpot access token", "type": "string", "description": "Your HubSpot access token. Works with both private app tokens (from Settings > Integrations > Private Apps) and OAuth access tokens." }, "datasetId": { "title": "Dataset", "type": "string", "description": "Apify dataset containing leadsEnrichment[] rows per company." }, "importMode": { "title": "Import mode", "enum": [ "contacts" ], "type": "string", "description": "Only 'contacts' is supported. Each dataset item's leadsEnrichment[] rows are imported as HubSpot contacts.", "default": "contacts" }, "companyUrlMapping": { "title": "Company URL to HubSpot ID mapping", "type": "array", "description": "Map company URLs to their HubSpot company IDs. Dataset items are matched via the 'originalStartUrl' field and leads are associated to the matched company.", "items": { "type": "object", "properties": { "url": { "type": "string", "title": "Company URL", "description": "The company website URL (e.g. 'https://example.com').", "editor": "textfield" }, "companyId": { "type": "string", "title": "HubSpot company ID", "description": "The HubSpot company ID that matched leads should be associated with.", "editor": "textfield" } }, "required": [ "companyId" ], "additionalProperties": false } }, "dataMappings": { "title": "Field mappings", "type": "array", "description": "Map leadsEnrichment fields to HubSpot contact properties. 'source' must be a leadsEnrichment field name (e.g. 'email', 'firstName'); 'target' is the internal HubSpot contact property name (e.g. 'email', 'firstname').", "items": { "type": "object", "properties": { "source": { "type": "string", "title": "Source field", "description": "leadsEnrichment field key (e.g. 'email', 'firstName', 'jobTitle').", "editor": "textfield" }, "target": { "type": "string", "title": "HubSpot property", "description": "Internal name of an existing HubSpot contact property (e.g. 'email', 'firstname').", "editor": "textfield" }, "overwriteMode": { "type": "string", "title": "When already set", "description": "'overwrite' replaces the existing HubSpot value; 'skip' leaves the existing value untouched when it is non-empty. Defaults to 'overwrite' if omitted.", "editor": "select", "enum": [ "overwrite", "skip" ], "default": "overwrite" } }, "required": [ "source", "target" ], "additionalProperties": false } }, "deduplication": { "title": "Deduplication key", "enum": [ "email", "phone" ], "type": "string", "description": "Existing-contact lookup key. 'email' matches on the HubSpot 'email' property; 'phone' matches on 'phone'. Leads missing the chosen value are skipped.", "default": "email" } } }, "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 } } } } } } } } } } ```