# Executive Job Change & Leadership Move Data (`datahyena/executive-job-changes`) Actor Track executive moves and leadership changes — person, company, role, seniority, move type, date — entity-resolved. A self-serve exec change / job change data API. - **URL**: https://apify.com/datahyena/executive-job-changes.md - **Developed by:** [Datahyena](https://apify.com/datahyena) (community) - **Categories:** Business, Lead generation, Developer tools - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $35.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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
Datahyena ## Executive Job Change & Leadership Move Data **Track executive moves and leadership changes. Each record has the person, company, role, seniority, move type, and date. A self-serve exec change and job change data API.** `Pay per result` · `No API key` · `No signup` · Powered by [Datahyena](https://datahyena.com?utm_source=apify&utm_medium=readme&utm_content=executive-job-changes)
--- Executive moves and leadership changes. Each record has the person, company, role, seniority, and move type. Every record is **deduplicated across the outlets that reported it and resolved to a single canonical company** — one clean row per real-world event, not a raw scrape. Set your filters, run, and pay only for the records returned. No API key, no signup, no sales call. Use it for **executive moves, job change data, leadership changes, exec change signals, people movement data** — sales prospecting, market and competitive research, data enrichment, and deal sourcing. ### What you get Each record includes: - **Person** - **Company** - **Role** - **Move** - **Announced** Results export to JSON, CSV, or Excel, or stream straight to your database via the Apify API. ### Common use cases - **Sales & prospecting** — build fresh, high-intent lists and reach the right accounts at the right moment. - **Market & competitive research** — track executive moves across industries, geographies, and time. - **Data enrichment** — append clean, deduped executive moves to your CRM or data warehouse. - **Deal sourcing** — for investors and corp-dev teams scanning new activity. ### Filters | Input | Description | |---|---| | `maxItems` | Max records (default 100) | | `cursor` | Advanced: resume from a previous run's `NEXT_CURSOR` to paginate ahead | | `since` | Only records on or after this date (YYYY-MM-DD), e.g. 2026-01-01. ISO-8601 timestamps also work. | | `until` | Only records on or before this date (YYYY-MM-DD, inclusive). ISO-8601 timestamps also work. | | `country` | Filter by company HQ country. | | `moveType` | Filter by executive move type. | | `roleSeniority` | Filter by seniority. | Leave everything empty to get the newest records first, or narrow by the filters above. Each run saves a `NEXT_CURSOR` for pagination. #### Example output ```json { "person": { "name": "Jane Doe", "linkedinUrl": "https://www.linkedin.com/in/janedoe" }, "company": { "name": "Acme Corp", "domain": "acme.com" }, "role": "VP of Sales", "roleSeniority": "vp_level", "moveType": "appointment", "announcedAt": "2026-05-02" } ```` ### FAQ **What data does this actor return?** Executive moves and leadership changes. Each record has the person, company, role, seniority, and move type. Person, Company, Role, Move, Announced — deduped and matched to canonical companies. **Is this a Crunchbase, PitchBook, or Coresignal alternative?** Yes. It is a self-serve, API-first alternative to Crunchbase, PitchBook, Coresignal, and Harmonic — pay per result, no annual contract, no sales call. **How is the data deduplicated?** Each real-world event is matched across every outlet that reported it and resolved to one canonical company (and investors), so you never get the same round or deal twice. **How do I get the next batch of records?** Each run saves a `NEXT_CURSOR` to its key-value store. Pass it as the `cursor` input on the next run to continue where you left off. For new records over time, use the `since` filter. **How fresh is the data?** New records are available within hours of being reported. **Is there a free way to try it?** Yes — run it here and pay only for the records returned, or go direct at datahyena.com with 50 free credits. **Can I get this data over an API instead?** Yes. Datahyena is API-first: REST, webhooks, or MCP (Claude, Cursor, Codex). This actor is the Apify-native way to run it. ### Use it in your own stack For ongoing use it is cheaper and more flexible to go direct: REST, webhooks, and MCP, with subscription pricing and 50 free credits to start. [datahyena.com](https://datahyena.com?utm_source=apify\&utm_medium=readme\&utm_content=executive-job-changes) · [Docs](https://datahyena.com/docs?utm_source=apify\&utm_medium=readme\&utm_content=executive-job-changes) · [MCP](https://datahyena.com/docs/mcp?utm_source=apify\&utm_medium=readme\&utm_content=executive-job-changes) ***
Built by Datahyena. Company-event signals as an API.
# Actor input Schema ## `maxItems` (type: `integer`): Maximum records to fetch. You are charged per record returned. ## `since` (type: `string`): Only records on or after this date (YYYY-MM-DD), e.g. 2026-01-01. ISO-8601 timestamps also work. ## `until` (type: `string`): Only records on or before this date (YYYY-MM-DD, inclusive). ISO-8601 timestamps also work. ## `country` (type: `string`): Filter by company HQ country. ## `moveType` (type: `string`): Filter by executive move type. ## `roleSeniority` (type: `string`): Filter by seniority. ## `cursor` (type: `string`): Resume from a previous run's NEXT\_CURSOR (saved in the run's key-value store) to paginate ahead. Leave empty to start from the newest records. ## Actor input object example ```json { "maxItems": 100 } ``` # Actor output Schema ## `results` (type: `string`): Executive Job Change & Leadership Move Data records (the run's 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("datahyena/executive-job-changes").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("datahyena/executive-job-changes").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 datahyena/executive-job-changes --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=datahyena/executive-job-changes", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Executive Job Change & Leadership Move Data", "description": "Track executive moves and leadership changes — person, company, role, seniority, move type, date — entity-resolved. A self-serve exec change / job change data API.", "version": "0.1", "x-build-id": "LHN4e9BTqibfit56m" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/datahyena~executive-job-changes/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-datahyena-executive-job-changes", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/datahyena~executive-job-changes/runs": { "post": { "operationId": "runs-sync-datahyena-executive-job-changes", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/datahyena~executive-job-changes/run-sync": { "post": { "operationId": "run-sync-datahyena-executive-job-changes", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "maxItems": { "title": "Max records", "minimum": 1, "type": "integer", "description": "Maximum records to fetch. You are charged per record returned.", "default": 100 }, "since": { "title": "Since (date)", "pattern": "^\\d{4}-\\d{2}-\\d{2}(T\\d{2}:\\d{2}(:\\d{2}(\\.\\d+)?)?(Z|[+-]\\d{2}:?\\d{2})?)?$", "type": "string", "description": "Only records on or after this date (YYYY-MM-DD), e.g. 2026-01-01. ISO-8601 timestamps also work." }, "until": { "title": "Until (date)", "pattern": "^\\d{4}-\\d{2}-\\d{2}(T\\d{2}:\\d{2}(:\\d{2}(\\.\\d+)?)?(Z|[+-]\\d{2}:?\\d{2})?)?$", "type": "string", "description": "Only records on or before this date (YYYY-MM-DD, inclusive). ISO-8601 timestamps also work." }, "country": { "title": "HQ country", "enum": [ "AE", "AR", "AT", "AU", "BD", "BE", "BR", "BS", "CA", "CH", "CL", "CN", "CO", "CY", "CZ", "DE", "DK", "EE", "EG", "ES", "FI", "FR", "GB", "GR", "HK", "HU", "ID", "IE", "IL", "IN", "IT", "JP", "KE", "KR", "LT", "LU", "LV", "MX", "MY", "NG", "NL", "NO", "NZ", "PH", "PK", "PL", "PT", "RO", "RU", "SA", "SE", "SG", "TH", "TR", "TW", "UA", "US", "VN", "ZA" ], "type": "string", "description": "Filter by company HQ country." }, "moveType": { "title": "Move type", "enum": [ "appointment", "promotion", "departure", "transition" ], "type": "string", "description": "Filter by executive move type." }, "roleSeniority": { "title": "Role seniority", "enum": [ "c_level", "vp_level", "founder" ], "type": "string", "description": "Filter by seniority." }, "cursor": { "title": "Resume cursor", "type": "string", "description": "Resume from a previous run's NEXT_CURSOR (saved in the run's key-value store) to paginate ahead. Leave empty to start from the newest records." } } }, "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 } } } } } } } } } } ```