# Funding Signals — Turn Fundraises into Warm B2B Leads (`noniner/funding-signals`) Actor

Point it at any Crunchbase/funding scraper's dataset and get recently funded companies scored as buying signals — fit to what you sell, what they'll likely spend the money on, and a tailored outreach angle. Companies that just raised are ready to buy.

- **URL**: https://apify.com/noniner/funding-signals.md
- **Developed by:** [Fredrik Hansson](https://apify.com/noniner) (community)
- **Categories:** AI, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $22.00 / 1,000 company scoreds

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/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

## Funding Signals — Turn Fundraises into Warm B2B Leads

A company that **just raised** is one of the strongest B2B buying signals — fresh budget, pressure to grow, new hires and tools. Point this at **any Crunchbase/funding scraper's dataset** and get those companies scored as leads for what you sell.

### What you get

Per funded company: name, round, amount, a **fit score** for your offering, the **likely spend areas** the money unlocks, and a **tailored outreach angle**.

### How to use

1. Run any Crunchbase / funding-rounds scraper on Apify.
2. Copy its **dataset ID**.
3. Run this actor with that `datasetId` and what you sell.

```json
{ "datasetId": "YOUR_FUNDING_DATASET_ID", "offering": "We sell developer tooling", "maxCompanies": 50 }
```

### Pricing

Pay per company scored.

### Note

Uses the public funding data you provide. You remain responsible for how you contact prospects (GDPR/CAN-SPAM). Not legal advice.

Actively maintained.

***

**Part of the [No Niner](https://noniner.io) toolkit** — no-code web scraping, enrichment & AI data tools, all pay-per-use. Browse the full set at **[noniner.io](https://noniner.io)**.

# Actor input Schema

## `datasetId` (type: `string`):

The dataset ID from any Crunchbase / funding-rounds scraper's run. The actor auto-detects company, round, amount and description fields.

## `offering` (type: `string`):

Your product/service. Drives the fit score, likely spend areas and outreach angle.

## `maxCompanies` (type: `integer`):

Cap on how many funded companies to score.

## `model` (type: `string`):

gpt-4o-mini is the cost-effective default.

## Actor input object example

```json
{
  "offering": "We sell developer tooling that helps engineering teams ship faster.",
  "maxCompanies": 50,
  "model": "gpt-4o-mini"
}
```

# Actor output Schema

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

All rows in the 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 = {
    "offering": "We sell developer tooling that helps engineering teams ship faster."
};

// Run the Actor and wait for it to finish
const run = await client.actor("noniner/funding-signals").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 = { "offering": "We sell developer tooling that helps engineering teams ship faster." }

# Run the Actor and wait for it to finish
run = client.actor("noniner/funding-signals").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 '{
  "offering": "We sell developer tooling that helps engineering teams ship faster."
}' |
apify call noniner/funding-signals --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,noniner/funding-signals"
        }
    }
}
```

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/2LSYezf1H8Y01LniA/builds/TBItblCmhrbezJNUH/openapi.json