# Newsletter Sponsor Intelligence (`technicaldost/newsletter-sponsor-intelligence`) Actor

Find newsletter and podcast sponsor evidence, creator contacts, and audience-fit signals.

- **URL**: https://apify.com/technicaldost/newsletter-sponsor-intelligence.md
- **Developed by:** [Technical Dost Solutions](https://apify.com/technicaldost) (community)
- **Categories:** Lead generation, Automation
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $8.00 / 1,000 newsletter sponsor results

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

## Newsletter Sponsor Intelligence

![Newsletter Sponsor Intelligence icon](.actor/icon.svg)

Find newsletter and podcast sponsor evidence, creator contacts, and audience-fit signals.

### What this Actor returns

- `publicationName`
- `platform`
- `publicationUrl`
- `authorName`
- `sponsorBrand`
- `evidenceText`
- `evidenceUrl`
- `postDate`
- `estimatedSubscribers`
- `topics`
- `contactEmail`
- `socialLinks`
- `sponsorFitScore`
- `confidenceScore`
- `scrapedAt`
- `sourceUrl`

### How to use it

1. Run once with the default input to validate the output schema.
2. Add public `startUrls` for live extraction where the target source allows public access.
3. Disable `fallbackToSampleIfEmpty` when you want failed/empty live runs to stay empty.
4. Schedule the Actor for monitoring workflows and export the dataset to JSON, CSV, Excel, API, or webhooks.

### Production notes

This Actor ships with a typed input schema, dataset schema, store icon, defensive parsing, sample data for integration tests, and generic public-page extraction. Some target platforms are dynamic, protected, or login-gated; for those, production-grade coverage should use compliant public URLs, official/export APIs, or a maintained provider adapter.

# Actor input Schema

## `keywords` (type: `array`):

Keywords for Newsletter Sponsor Intelligence.

## `platforms` (type: `array`):

Platforms for Newsletter Sponsor Intelligence.

## `startUrls` (type: `array`):

Start Urls for Newsletter Sponsor Intelligence.

## `maxPublications` (type: `number`):

Max Publications for Newsletter Sponsor Intelligence.

## `includeSponsorEvidence` (type: `boolean`):

Include Sponsor Evidence for Newsletter Sponsor Intelligence.

## `useSampleData` (type: `boolean`):

Return a schema-valid sample row. Useful for testing integrations; disable for live extraction.

## `proxyConfiguration` (type: `object`):

Apify proxy configuration for production crawling.

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

Maximum number of records to return.

## `fallbackToSampleIfEmpty` (type: `boolean`):

Return one clearly marked sample row if live extraction finds no records.

## Actor input object example

```json
{
  "keywords": [
    "AI newsletter"
  ],
  "platforms": [
    "substack",
    "beehiiv",
    "rss"
  ],
  "startUrls": [
    "https://stratechery.com/feed/"
  ],
  "maxPublications": 10,
  "includeSponsorEvidence": true,
  "useSampleData": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "maxResults": 25,
  "fallbackToSampleIfEmpty": true
}
```

# Actor output Schema

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

Structured dataset items produced by this Actor.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("technicaldost/newsletter-sponsor-intelligence").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("technicaldost/newsletter-sponsor-intelligence").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 '{}' |
apify call technicaldost/newsletter-sponsor-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,technicaldost/newsletter-sponsor-intelligence"
        }
    }
}
```

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/keFGnvADnwDALD9BB/builds/qR2EoSg3kQQVTU5sV/openapi.json