# Company Search — 115M Companies by Size, Industry, Funding (`b2bsearch/company-database-search`) Actor

Search 115M companies by country, industry, headcount, site domain and funding — the stage of the last round, its amount and its date, filters the rest of this shelf does not carry at all. A free count preview sizes the segment before you pay $1.50 per 1,000 delivered rows.

- **URL**: https://apify.com/b2bsearch/company-database-search.md
- **Developed by:** [B2B Enrich Search](https://apify.com/b2bsearch) (community)
- **Categories:** Lead generation, AI, Agents
- **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 company rows

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

> **$1.50 per 1,000 companies, and the only company search here you can
> filter by funding.** Stage, amount and date of the last round are filters,
> not just columns. Size the segment for free before you take a row.

Search a company database by country, industry, headcount, funding and site
domains. This is a database search, not a live scrape: filter combinations
answer in seconds.

### Free count before you buy

A run returns companies. To size a segment first, set `previewOnly: true`:
the Actor answers with one free row, the number of matching companies, and
a note saying so. Tune the filters, then turn preview off to fetch the rows.

### Input

```json
{
  "countries": ["nl"],
  "employeesMin": 200,
  "hasFunding": true,
  "fundedAfter": "2022-01-01",
  "fundedBefore": "2026-01-01",
  "fundingRounds": ["seed", "series_a"],
  "fundingAmountMin": 1000000,
  "previewOnly": false,
  "maxResults": 500
}
```

- `countries`: two-letter codes, up to 10.
- `industries`: labels as they appear on company pages, up to 50.
- `companyDomains`: specific companies by site domain, up to 50.
- `employeesMin` / `employeesMax`: headcount range.
- `hasFunding` / `fundedAfter` / `fundedBefore`: filters on the last
  recorded round.
- `fundingRounds`: keep companies whose last round is one of `pre_seed`,
  `seed`, `angel`, `series_a` … `series_g`, `series_unknown`,
  `private_equity`, `debt_financing`, `grant`, `convertible_note`,
  `post_ipo_equity`, `post_ipo_debt`, `secondary_market`,
  `corporate_round`, `equity_crowdfunding`, `product_crowdfunding`,
  `initial_coin_offering`. One round is kept per company, so `seed` reads
  "has not raised past seed yet".
- `fundingAmountMin` / `fundingAmountMax`: size of that round, in USD.

At least one filter is required. There is no company-name search: a name
is ambiguous (150+ companies can share one), a site domain is not.

### What you get

| Group | Fields |
|---|---|
| Identity | company name, primary site domain, website URL |
| Size and industry | employee count, industry, verticals |
| Funding | last round type, date and amount |
| Story | founding year, description, operating status |
| Location | country code, headquarters (city, region, postal code) |

```json
{
  "_status": "found",
  "id": 456123,
  "name": "Acme Analytics",
  "domain": "acme-analytics.example",
  "website": "https://www.acme-analytics.example",
  "countryCode": "NL",
  "employeeCount": 85,
  "industry": "Software Development",
  "verticals": ["Analytics", "B2B SaaS"],
  "funding": { "hasFunding": true, "lastRoundType": "Series A", "lastRoundDate": "2023-05-01", "lastRoundAmount": 12000000 },
  "operatingStatus": "active",
  "founded": 2018,
  "description": "Product analytics for B2B teams…",
  "hq": { "locality": "Amsterdam", "region": "North Holland" }
}
```

*(anonymized sample)* Unknown facts are omitted, never shipped as empty
strings.

The **Output tab** has two views: *Overview* and *Funding & firmographics*.

### Pricing

| Event | Price | When |
|---|---|---|
| Company row | $0.0015 | after the row landed in your dataset |
| Count preview | **$0** | always free |

Set `maxResults` to cap the spend of a run.

### FAQ

**How do I get the people behind these companies?** Feed the `domain`
column to [Company Employees](https://apify.com/b2bsearch/company-employees),
or use [People Database Search](https://apify.com/b2bsearch/people-database-search)
with `companyDomains` for title-filtered slices.

### Use Company Search with AI agents and MCP

This Actor works as a tool for AI agents. Add it to Claude, ChatGPT, Cursor or any other MCP client through the Apify MCP server:

```
https://mcp.apify.com?tools=b2bsearch/company-database-search
```

- **Fast enough for a tool call.** A small request finishes in seconds, so the agent gets its answer inside one call.
- **Free count first.** `"previewOnly": true` returns the number of matches and charges nothing — let the agent size the segment before it buys rows.
- **The agent pays only for results.** Prices are per result (see the pricing section above) and every miss is a free row. Cap what one call may spend with `maxTotalChargeUsd`.
- **Rows explain themselves.** Each row has a `_status`; a row that is not a result says why in `_error`, so the agent can decide what to do next without guessing.
- **Bounded cost.** `maxResults` limits how many rows one call can deliver and bill.

Input an agent can send as is:

```json
{
  "countries": [
    "nl"
  ],
  "employeesMin": 200,
  "hasFunding": true,
  "maxResults": 25
}
```

The same Actor is available as a tool in LangChain, CrewAI and the OpenAI Agents SDK, and as a step in n8n, Make and Zapier through the Apify integrations.

### Which actor in this family?

One database, ten doors. Misses are free on every one of them.

| Actor | Input → output |
|---|---|
| [Profile Lookup](https://apify.com/b2bsearch/profile-lookup) | profile URL → full career profile |
| [Reverse Email Lookup](https://apify.com/b2bsearch/reverse-email-lookup) | email → person, profile URL and employer |
| [Name to Profile](https://apify.com/b2bsearch/name-to-profile) | name + company domain → profile |
| [Social Handle Lookup](https://apify.com/b2bsearch/social-handle-lookup) | GitHub, X/Twitter or Facebook handle → profile |
| [Bulk People Enrichment](https://apify.com/b2bsearch/bulk-people-enrichment) | CSV of emails, URLs, handles or names → profiles |
| [LinkedIn Email Finder](https://apify.com/b2bsearch/linkedin-email-finder) | profile URL → email addresses on record |
| [Work Email Finder](https://apify.com/b2bsearch/work-email-finder) | name + company domain → work email candidates |
| [Company Employees](https://apify.com/b2bsearch/company-employees) | company domain → current staff |
| [People Database Search](https://apify.com/b2bsearch/people-database-search) | filters → people |
| **Company Database Search** (this one) | filters → companies |

### Disclaimer

This Actor is an independent product. It is not affiliated with, endorsed by
or sponsored by LinkedIn. It does not access, crawl or scrape any of them at
run time: answers come from our own database of publicly available
professional data, and the network names only describe the kind of data it
covers. To have a person's data removed, open an issue on this Actor with only
the profile link — nothing else is needed, and it is removed from every listing.

# Actor input Schema

## `countries` (type: `array`):

Two-letter country codes (us, de, nl...). At most 10 per run.

## `industries` (type: `array`):

Industry labels as they appear on company pages (example: "Information Technology & Services"). At most 50.

## `companyDomains` (type: `array`):

Look up specific companies by their site domain (acme.com). At most 50.

## `employeesMin` (type: `integer`):

Keep companies with at least this many employees.

## `employeesMax` (type: `integer`):

Keep companies with at most this many employees.

## `hasFunding` (type: `boolean`):

Keep only companies with at least one recorded funding round.

## `fundedAfter` (type: `string`):

Keep companies whose last funding round is on or after this date (YYYY-MM-DD).

## `fundedBefore` (type: `string`):

Keep companies whose last funding round is on or before this date (YYYY-MM-DD). Pair with "Funded after" to take a single vintage.

## `fundingRounds` (type: `array`):

Keep companies whose LAST recorded round is one of these. The store keeps one round per company, so "Seed" reads "has not raised past seed yet" — which is the stage filter most lists are built on.

## `fundingAmountMin` (type: `integer`):

Keep companies whose last round raised at least this much.

## `fundingAmountMax` (type: `integer`):

Keep companies whose last round raised at most this much.

## `previewOnly` (type: `boolean`):

Answer with the number of matching companies instead of the rows. Free — use it to size a segment before you buy. Off by default: a run returns rows.

## `maxResults` (type: `integer`):

Stop after this many rows (default 500, maximum 50000). Billing is per delivered row: $1.50 per 1,000 companies in the plain-row tier.

## Actor input object example

```json
{
  "countries": [
    "nl"
  ],
  "employeesMin": 200,
  "hasFunding": true,
  "previewOnly": false,
  "maxResults": 25
}
```

# Actor output Schema

## `results` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "countries": [
        "nl"
    ],
    "employeesMin": 200,
    "hasFunding": true,
    "maxResults": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("b2bsearch/company-database-search").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 = {
    "countries": ["nl"],
    "employeesMin": 200,
    "hasFunding": True,
    "maxResults": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("b2bsearch/company-database-search").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "countries": [
    "nl"
  ],
  "employeesMin": 200,
  "hasFunding": true,
  "maxResults": 25
}' |
apify call b2bsearch/company-database-search --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,b2bsearch/company-database-search"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/zd5uHpxFE9cxx6UA7/builds/UQ9OQhjhnNKhEKWwA/openapi.json