# Company Acquisitions & M\&A Data (`datahyena/company-acquisitions-ma`) Actor Get company acquisitions and mergers (M\&A) — acquirer, target, deal value, payment type, date — deduplicated and entity-resolved. A self-serve M\&A data API. - **URL**: https://apify.com/datahyena/company-acquisitions-ma.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 $50.00 / 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. 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
Datahyena ## Company Acquisitions & M&A Data **Get company acquisitions and mergers (M&A). Each record has the acquirer, target, deal value, payment type, and date, deduped and matched to a single company. A self-serve M&A data API.** `Pay per result` · `No API key` · `No signup` · Powered by [Datahyena](https://datahyena.com)
--- Acquisitions and mergers. Each record has the acquirer, target, deal value, payment type, and date. Records are deduped and matched to a single company, not a raw scrape. Set your filters, run, and you pay only for the records returned. ### Inputs | Input | Description | |---|---| | `maxItems` | Max records (default 100) | | `cursor` | Advanced: resume from a previous run's `NEXT_CURSOR` to paginate ahead | | `since` | Only records after this timestamp, e.g. 2026-01-01T00:00:00.000Z | | `minAmountUsd` | Minimum amount in USD. | | `maxAmountUsd` | Maximum amount in USD. | | `paymentType` | Filter by acquisition payment type. | | `isMerger` | Show only mergers. | #### Example output ```json { "acquirer": { "name": "Acme Corp", "domain": "acme.com" }, "target": { "name": "Beta Inc", "domain": "beta.io" }, "dealAmountUsd": 120000000, "paymentType": "cash", "isMerger": false, "announcedAt": "2026-03-10" } ```` ### FAQ **Is this a Crunchbase or PitchBook alternative?** Yes. It is a self-serve, API-first option next to Crunchbase, PitchBook, Coresignal, and Harmonic, with no sales call. **How do I get the next batch?** 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. **Can I get this data over API?** 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) · [Docs](https://datahyena.com/docs) · [MCP](https://datahyena.com/docs/mcp) ***
Built by Datahyena. B2B intent signals as an API.
# Actor input Schema ## `maxItems` (type: `integer`): Maximum records to fetch. You are charged per record returned. ## `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. ## `since` (type: `string`): Only records after this timestamp, e.g. 2026-01-01T00:00:00.000Z ## `minAmountUsd` (type: `integer`): Minimum amount in USD. ## `maxAmountUsd` (type: `integer`): Maximum amount in USD. ## `paymentType` (type: `string`): Filter by acquisition payment type. ## `isMerger` (type: `boolean`): Show only mergers. ## Actor input object example ```json { "maxItems": 100 } ``` # 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/company-acquisitions-ma").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/company-acquisitions-ma").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/company-acquisitions-ma --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=datahyena/company-acquisitions-ma", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Company Acquisitions & M&A Data", "description": "Get company acquisitions and mergers (M&A) — acquirer, target, deal value, payment type, date — deduplicated and entity-resolved. A self-serve M&A data API.", "version": "0.1", "x-build-id": "cpAzbgJ5CPcbKlfeJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/datahyena~company-acquisitions-ma/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-datahyena-company-acquisitions-ma", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/datahyena~company-acquisitions-ma/runs": { "post": { "operationId": "runs-sync-datahyena-company-acquisitions-ma", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/datahyena~company-acquisitions-ma/run-sync": { "post": { "operationId": "run-sync-datahyena-company-acquisitions-ma", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 }, "cursor": { "title": "Resume cursor (advanced)", "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." }, "since": { "title": "Since (ISO-8601)", "type": "string", "description": "Only records after this timestamp, e.g. 2026-01-01T00:00:00.000Z" }, "minAmountUsd": { "title": "Min amount (USD)", "type": "integer", "description": "Minimum amount in USD." }, "maxAmountUsd": { "title": "Max amount (USD)", "type": "integer", "description": "Maximum amount in USD." }, "paymentType": { "title": "Payment type", "enum": [ "cash", "stock", "mixed", "undisclosed" ], "type": "string", "description": "Filter by acquisition payment type." }, "isMerger": { "title": "Is merger", "type": "boolean", "description": "Show only mergers." } } }, "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 } } } } } } } } } } ```