# M\&A Deal Monitor (`schesds/ma-filings-monitor`) Actor Monitor companies for acquisition, merger, investment, and business-combination signals. - **URL**: https://apify.com/schesds/ma-filings-monitor.md - **Developed by:** [Tedd Shesden](https://apify.com/schesds) (community) - **Categories:** Business - **Stats:** 3 total users, 2 monthly users, 91.7% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## 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 ## M&A Deal Monitor Monitor companies for acquisition, merger, investment, and business-combination signals. This Actor is built for corporate development, competitive intelligence, market research, and investment workflows where you need a repeatable company watchlist instead of manual searches. ### What it does Add a list of companies and a date range. The Actor returns structured deal candidates with source links, evidence text, confidence labels, and review guidance. Common use cases: - Track recent acquisitions by competitors or portfolio companies - Monitor large public companies for startup acquisitions and strategic investments - Build recurring M&A watchlists for market maps, research dashboards, and alerts - Export deal signals for analysis in spreadsheets, BI tools, or databases ### Input The main input is a list of companies. You can use tickers or company names. ```json { "companies": ["AAPL", "MSFT", "GOOGL", "NVDA", "TSLA"], "monthsBack": 12 } ```` Optional date controls: - `startDate`: earliest date to inspect, in `YYYY-MM-DD` - `endDate`: latest date to inspect, in `YYYY-MM-DD` - `monthsBack`: used when `startDate` is empty ### Output Each detected signal is emitted as one `mna_deal_candidate` row. If a company cannot be processed, the Actor emits a `scrape_error` row with a clean diagnostic message. Main output fields: - `acquirerName` - `acquirerTicker` - `targetName` - `announcedDate` - `dealType` - `dealStatus` - `confidence` - `sourceName` - `sourceType` - `sourceUrl` - `evidenceText` - `needsReview` - `recommendedReviewAction` Results can be exported from Apify as JSON, CSV, Excel, XML, RSS, or HTML. ### Pricing This Actor uses pay-per-event pricing. You are charged for each delivered M\&A deal signal, not for companies that return no matching signals. The starting public beta price is **$5.00 per 1,000 delivered deal signals**. ### Confidence and review This Actor is a signal monitor, not a guaranteed complete M\&A database. Use: - `HIGH` confidence rows as stronger candidates - `MEDIUM` confidence rows as candidates that usually deserve a second-source check - `needsReview` and `recommendedReviewAction` to prioritize manual validation - `sourceUrl` and `evidenceText` to inspect the underlying source Coverage varies by company, date range, source availability, and how quietly a company discloses smaller transactions. ### Best practices - Start with 10-50 companies to validate coverage for your use case. - Use recognizable tickers when available. - Review important rows before using them in financial, legal, or investment decisions. - Schedule recurring runs if you want a monthly monitoring workflow. # Actor input Schema ## `companies` (type: `array`): Add company tickers or company names. Examples: AAPL, MSFT, Apple, Microsoft, NVIDIA. ## `startDate` (type: `string`): Earliest announcement or filing date to inspect, in YYYY-MM-DD format. Leave empty to use months back. ## `endDate` (type: `string`): Latest announcement or filing date to inspect, in YYYY-MM-DD format. Leave empty to use today. ## `monthsBack` (type: `integer`): Used when start date is empty. ## Actor input object example ```json { "companies": [ "AAPL", "MSFT", "GOOGL", "NVDA", "TSLA" ], "monthsBack": 12 } ``` # Actor output Schema ## `deals` (type: `string`): No description # 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 = { "companies": [ "AAPL", "MSFT", "GOOGL", "NVDA", "TSLA" ], "monthsBack": 12 }; // Run the Actor and wait for it to finish const run = await client.actor("schesds/ma-filings-monitor").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 = { "companies": [ "AAPL", "MSFT", "GOOGL", "NVDA", "TSLA", ], "monthsBack": 12, } # Run the Actor and wait for it to finish run = client.actor("schesds/ma-filings-monitor").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 '{ "companies": [ "AAPL", "MSFT", "GOOGL", "NVDA", "TSLA" ], "monthsBack": 12 }' | apify call schesds/ma-filings-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=schesds/ma-filings-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "M&A Deal Monitor", "description": "Monitor companies for acquisition, merger, investment, and business-combination signals.", "version": "0.1", "x-build-id": "pYjm5knVTnkAzAAbi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/schesds~ma-filings-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-schesds-ma-filings-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/schesds~ma-filings-monitor/runs": { "post": { "operationId": "runs-sync-schesds-ma-filings-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/schesds~ma-filings-monitor/run-sync": { "post": { "operationId": "run-sync-schesds-ma-filings-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "companies" ], "properties": { "companies": { "title": "Companies", "type": "array", "description": "Add company tickers or company names. Examples: AAPL, MSFT, Apple, Microsoft, NVIDIA.", "items": { "type": "string" } }, "startDate": { "title": "Start date", "type": "string", "description": "Earliest announcement or filing date to inspect, in YYYY-MM-DD format. Leave empty to use months back." }, "endDate": { "title": "End date", "type": "string", "description": "Latest announcement or filing date to inspect, in YYYY-MM-DD format. Leave empty to use today." }, "monthsBack": { "title": "Months back", "minimum": 1, "maximum": 120, "type": "integer", "description": "Used when start date is empty.", "default": 12 } } }, "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 } } } } } } } } } } ```