# Company Timeline Data (`datahyena/company-timeline`) Actor

Get a company's complete event timeline — funding rounds, acquisitions, and executive moves — resolved to one canonical company, with firmographics and investors. Paste a list of companies (domain, name, LinkedIn URL, or Datahyena id); get one clean, deduplicated row per company and per event.

- **URL**: https://apify.com/datahyena/company-timeline.md
- **Developed by:** [Datahyena](https://apify.com/datahyena) (community)
- **Categories:** Lead generation, Developer tools, Automation
- **Stats:** 2 total users, 1 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

<div align="center">

<img src="https://datahyena.com/static/images/logo.png" alt="Datahyena" height="64" />

## Company Timeline Data

**Get a company's complete event timeline — funding rounds, acquisitions, and executive moves — resolved to one canonical company, with firmographics and investors. Paste a list of companies (domain, name, LinkedIn URL, or Datahyena id); get one clean, deduplicated row per company and per event.**

`Pay per record` · `No API key` · `No signup` · Powered by [Datahyena](https://datahyena.com?utm_source=apify&utm_medium=readme&utm_content=company-timeline)

</div>

---

A company's full history — funding rounds, acquisitions, and executive moves — plus firmographics and the investors on its cap table. Paste your target accounts and get back one clean row per record — a company row plus one row per event — each **deduplicated across the outlets that reported it and resolved to a single canonical company**, not a raw scrape. You pay per result: the company is one record and each event (funding round, acquisition, executive move) is one more, so a company with no events costs one record and a rich history costs a few. Unresolved companies cost nothing.

Use it for **company timeline, company history, funding history, company intelligence, account research, company profile data** — account research, CRM enrichment, competitive monitoring, and deal sourcing.

### What you get

Flat rows you can sort, filter, and export straight to a sheet. Every row carries `recordType`, `companyName`, and `companyDomain`, so rows join back to their company. Two kinds of rows:

- **Company row** (`recordType: company`) — firmographics (domain, LinkedIn, HQ, industry, employee count, founded year) plus the deduplicated investors on its cap table.
- **Event rows** (`recordType: funding | acquisition | exec_move`) — one per event, with its date and details.

Filter to `recordType = company` for a firmographic table, or to an event type for a deal feed. Results export to JSON, CSV, or Excel, or stream straight to your database via the Apify API.

### Common use cases

- **Account research** — pull the full story on every target account before a call.
- **CRM enrichment** — append funding, M&A, and leadership history to your accounts.
- **Competitive monitoring** — track how rivals raise, acquire, and hire over time.
- **Deal sourcing** — for investors and corp-dev teams sizing up a company fast.

### Input

| Input | Description |
|---|---|
| `companies` | One company per line: a domain, company name, LinkedIn URL, or Datahyena id. Billed per record (company + each event). |
| `include` | Event kinds to include (funding, acquisitions, exec_moves). Leave empty for all. Fewer kinds means fewer events, so a lower cost. |

#### Example output

```json
[
  {
    "recordType": "company",
    "companyName": "Legora",
    "companyDomain": "legora.com",
    "date": null,
    "hqCountry": {
      "code": "SE",
      "name": "Sweden"
    },
    "industryGroup": "Professional Services",
    "investors": [
      {
        "name": "General Catalyst"
      },
      {
        "name": "Y Combinator"
      }
    ]
  },
  {
    "recordType": "funding",
    "companyName": "Legora",
    "companyDomain": "legora.com",
    "date": "2026-04-15",
    "round": "series-b",
    "amountUsd": 50000000,
    "announcedAt": "2026-04-15"
  },
  {
    "recordType": "exec_move",
    "companyName": "Legora",
    "companyDomain": "legora.com",
    "date": "2026-02-01",
    "role": "VP of Engineering",
    "moveType": "appointment",
    "announcedAt": "2026-02-01"
  }
]
````

### FAQ

**What does this actor return?**

For each company you list: one company row (firmographics + investors) and one row per event (funding round, acquisition, executive move), deduped and matched to a single canonical company. Every row carries `companyName` and `companyDomain` so you can join events back to their company.

**How do I identify a company?**

Any of a domain (`stripe.com`), a company name, a LinkedIn URL, or a Datahyena company id. We resolve each to one canonical company.

**What if a company isn't found?**

It is skipped and you are not charged for it. You only pay for companies we resolve and return.

**How is this priced?**

Pay per result, one result per row — the same model as our other actors. The company row is one result and each event row is one more, so a company with only firmographics is a single result and a company with a long funding, M\&A, and leadership history costs a few. Narrow the `include` list to pull fewer event kinds and pay less.

**How fresh is the data?**

New events land within hours of being reported and are added to the company's timeline.

**Can I get this 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=company-timeline) · [Docs](https://datahyena.com/docs?utm_source=apify\&utm_medium=readme\&utm_content=company-timeline) · [MCP](https://datahyena.com/docs/mcp?utm_source=apify\&utm_medium=readme\&utm_content=company-timeline)

***

<div align="center">
Built by <a href="https://datahyena.com?utm_source=apify&utm_medium=readme&utm_content=company-timeline">Datahyena</a>. Company-event signals as an API.
</div>

# Actor input Schema

## `companies` (type: `array`):

One company per line. Each line can be any of:

- **Website domain** — e.g. `stripe.com`
- **Company name** — e.g. `Anthropic`
- **LinkedIn company URL** — e.g. `https://www.linkedin.com/company/stripe`
- **Datahyena company id** (UUID) — must be a Datahyena id, not a LinkedIn or other id. Get one from the [Company Data actor](https://apify.com/datahyena/company-data-api) or the [Datahyena companies API](https://datahyena.com/docs?utm_source=apify\&utm_medium=input\&utm_content=company-timeline).

Billed per record: the company plus each event on its timeline. Companies we cannot resolve are skipped and cost nothing.

## `include` (type: `array`):

Which event kinds to include in each timeline. Leave empty to include all three. Choosing fewer kinds returns fewer events, so it costs less.

## Actor input object example

```json
{
  "companies": [
    "stripe.com",
    "Anthropic",
    "https://www.linkedin.com/company/openai"
  ]
}
```

# Actor output Schema

## `results` (type: `string`):

Company Timeline 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "companies": [
        "stripe.com",
        "Anthropic",
        "https://www.linkedin.com/company/openai"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("datahyena/company-timeline").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "companies": [
        "stripe.com",
        "Anthropic",
        "https://www.linkedin.com/company/openai",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("datahyena/company-timeline").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": [
    "stripe.com",
    "Anthropic",
    "https://www.linkedin.com/company/openai"
  ]
}' |
apify call datahyena/company-timeline --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=datahyena/company-timeline",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Company Timeline Data",
        "description": "Get a company's complete event timeline — funding rounds, acquisitions, and executive moves — resolved to one canonical company, with firmographics and investors. Paste a list of companies (domain, name, LinkedIn URL, or Datahyena id); get one clean, deduplicated row per company and per event.",
        "version": "0.1",
        "x-build-id": "52b35uV9BBAhRVo71"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/datahyena~company-timeline/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-datahyena-company-timeline",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/datahyena~company-timeline/runs": {
            "post": {
                "operationId": "runs-sync-datahyena-company-timeline",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/datahyena~company-timeline/run-sync": {
            "post": {
                "operationId": "run-sync-datahyena-company-timeline",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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 to look up",
                        "type": "array",
                        "description": "One company per line. Each line can be any of:\n\n- **Website domain** — e.g. `stripe.com`\n- **Company name** — e.g. `Anthropic`\n- **LinkedIn company URL** — e.g. `https://www.linkedin.com/company/stripe`\n- **Datahyena company id** (UUID) — must be a Datahyena id, not a LinkedIn or other id. Get one from the [Company Data actor](https://apify.com/datahyena/company-data-api) or the [Datahyena companies API](https://datahyena.com/docs?utm_source=apify&utm_medium=input&utm_content=company-timeline).\n\nBilled per record: the company plus each event on its timeline. Companies we cannot resolve are skipped and cost nothing.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "include": {
                        "title": "Include event kinds",
                        "uniqueItems": true,
                        "type": "array",
                        "description": "Which event kinds to include in each timeline. Leave empty to include all three. Choosing fewer kinds returns fewer events, so it costs less.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "funding",
                                "acquisitions",
                                "exec_moves"
                            ],
                            "enumTitles": [
                                "Funding rounds",
                                "Acquisitions",
                                "Executive moves"
                            ]
                        }
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```