# India: Startup Funding, M\&A, IPO Tracker (`nesora/india-startup-funding-tracker`) Actor Structured Indian startup funding rounds, M\&A deals, IPOs, and exits. Parses headlines into company, amount, round type, and lead investor. Filter by date, minimum amount, or news category. For VCs, founders, corp dev, analysts, and journalists. - **URL**: https://apify.com/nesora/india-startup-funding-tracker.md - **Developed by:** [Neel Raut](https://apify.com/nesora) (community) - **Categories:** Business, News, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $8.00 / 1,000 funding news records 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 ## India: Startup Funding, M&A, IPO Tracker Structured tracking of Indian startup funding rounds, M&A deals, IPOs, and exits — parsed from live news headlines into queryable fields. **Company, amount, round type, lead investor, news category** — all in clean JSON. ### Who this is for - **VCs and PE funds** — track deal flow in real time, monitor portfolio peers - **Founders** — see who's raising, what valuations, who's investing in your sector - **Corp dev / M&A teams** — track acquisition targets and consolidation patterns - **Investment bankers** — sourcing IPO mandates and exit opportunities - **Journalists** — story leads, weekly funding roundups - **Analysts** — market intelligence dashboards, sector heat maps ### Input | Field | Type | Description | |---|---|---| | `daysBack` | integer | Pull news from last N days. Default 30. | | `newsCategories` | array | Filter to specific categories: `funding`, `ma`, `ipo`, `exit`, `regulatory`, `leadership`, `shutdown`. Default: funding-only categories. | | `roundTypes` | array | Filter to funding rounds: `Seed`, `Series A/B/C/D/E/F`, `IPO`, `Debt`, etc. | | `minAmountUsd` | number | Filter to deals >= this amount in USD millions. INR amounts auto-converted at ~83 INR/USD. | | `companyKeyword` | string | Filter to articles mentioning a specific company. | | `maxResults` | integer | Cap on records. Default 100. | ### Sample output ```json { "company": "Truefan AI", "newsCategory": "funding", "roundType": "Series A", "amountRaw": "$10 Mn", "amountInr": 830000000, "amountUsd": 10, "leadInvestor": "", "title": "Video generation startup Truefan AI raises $10 Mn in Series A round", "publishedAt": "2026-06-04T05:22:07.000Z", "articleUrl": "https://entrackr.com/news/video-generation-startup-truefan-ai-raises-10-mn-in-series-a-round-11999795" } ```` ### Pricing Pay-per-event: charged per news record returned. ### Data source News headlines and excerpts from [Entrackr](https://entrackr.com), one of India's leading startup news publications. This actor structures their public RSS feed into queryable JSON. For full articles and analysis, visit Entrackr directly. ### Limitations - Headlines don't always disclose round details (e.g., undisclosed rounds will have empty `amountUsd`) - Lead investor only extracted when "Led by ..." appears in title - Some news (regulatory, leadership) won't have funding amounts — that's intentional, the actor tracks the full Indian startup news cycle, not just funding # Actor input Schema ## `daysBack` (type: `integer`): Pull news from the last N days. Entrackr RSS typically holds the latest ~100 stories regardless. ## `newsCategories` (type: `array`): Filter to specific news categories. Valid values: funding, ma, ipo, exit, regulatory, leadership, shutdown, other. Leave empty for all. ## `roundTypes` (type: `array`): Filter to funding rounds. Valid values: Seed, Pre-Seed, Series A, Series B, Series C, Series D, Series E, Series F, Pre-IPO, IPO, Debt, Bridge, QIP. Leave empty for all. ## `minAmountUsd` (type: `number`): Filter to rounds where the disclosed amount is >= this value, in millions USD. Example: 10 = $10M+ rounds. Indian amounts (Rs Cr) are converted at ~83 INR/USD. ## `companyKeyword` (type: `string`): Filter to articles mentioning a specific company name. Case insensitive. ## `maxResults` (type: `integer`): Maximum number of records to return. ## Actor input object example ```json { "daysBack": 30, "newsCategories": [ "funding", "ma", "ipo", "exit" ], "minAmountUsd": 0, "companyKeyword": "Zepto", "maxResults": 100 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("nesora/india-startup-funding-tracker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("nesora/india-startup-funding-tracker").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 nesora/india-startup-funding-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nesora/india-startup-funding-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "India: Startup Funding, M&A, IPO Tracker", "description": "Structured Indian startup funding rounds, M&A deals, IPOs, and exits. Parses headlines into company, amount, round type, and lead investor. Filter by date, minimum amount, or news category. For VCs, founders, corp dev, analysts, and journalists.", "version": "0.1", "x-build-id": "rpbXCaPdKpcJVTUbq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nesora~india-startup-funding-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nesora-india-startup-funding-tracker", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nesora~india-startup-funding-tracker/runs": { "post": { "operationId": "runs-sync-nesora-india-startup-funding-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nesora~india-startup-funding-tracker/run-sync": { "post": { "operationId": "run-sync-nesora-india-startup-funding-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "daysBack": { "title": "Days back to include", "minimum": 1, "maximum": 365, "type": "integer", "description": "Pull news from the last N days. Entrackr RSS typically holds the latest ~100 stories regardless.", "default": 30 }, "newsCategories": { "title": "News categories", "uniqueItems": true, "type": "array", "description": "Filter to specific news categories. Valid values: funding, ma, ipo, exit, regulatory, leadership, shutdown, other. Leave empty for all.", "items": { "type": "string" }, "default": [ "funding", "ma", "ipo", "exit" ] }, "roundTypes": { "title": "Round type filter", "uniqueItems": true, "type": "array", "description": "Filter to funding rounds. Valid values: Seed, Pre-Seed, Series A, Series B, Series C, Series D, Series E, Series F, Pre-IPO, IPO, Debt, Bridge, QIP. Leave empty for all.", "items": { "type": "string" } }, "minAmountUsd": { "title": "Minimum amount in USD (millions)", "minimum": 0, "type": "number", "description": "Filter to rounds where the disclosed amount is >= this value, in millions USD. Example: 10 = $10M+ rounds. Indian amounts (Rs Cr) are converted at ~83 INR/USD.", "default": 0 }, "companyKeyword": { "title": "Company name keyword", "type": "string", "description": "Filter to articles mentioning a specific company name. Case insensitive." }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of records to return.", "default": 100 } } }, "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 } } } } } } } } } } ```