# Content Intel Pack — News Articles + Transcript Rows (`grokbob/content-intel-pack-ppe`) Actor

Topics and/or YouTube URLs → News articles plus transcript rows for content briefs. From $0.50 per 1,000 successful article or transcript rows — empty/blocked cost $0. Prefer the Google News Scraper for article-only jobs.

- **URL**: https://apify.com/grokbob/content-intel-pack-ppe.md
- **Developed by:** [Bob](https://apify.com/grokbob) (community)
- **Categories:** News, Videos, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 successful article 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

## Content Intel Pack — News Articles + Transcript Rows

**Slug:** `content-intel-pack-ppe`\
**Job:** Topics and/or YouTube URLs → **news article rows + transcript rows** tagged by topic for content/RAG briefs.

### Pricing (Console locked)

| Event | Price | When |
| --- | ---: | --- |
| `article-result` (primary) | **$0.0005** (**$0.50 / 1,000** successful article rows) | Charged only on OK news rows with real title + URL |
| `transcript-result` | **$0.0005** (**$0.50 / 1,000** successful transcript rows) | Charged only on OK captions (≥1 segment) |
| `apify-actor-start` | Platform start (~$0.01/GB, min 1) | May apply each run |

EMPTY / NO\_CAPTIONS / BLOCKED / FAILED do **not** take `article-result` or `transcript-result`.

**Store sticker:** From **$0.50 per 1,000** successful article or transcript rows — empty/blocked cost $0.

### What you get

- Flat article rows (headline, URL, source, date) tagged by topic
- Flat transcript rows (video URL, segments) when captions are usable

### Prefer standalone?

- Article-only jobs → **Google News Scraper** sibling
- This pack is the combined content brief door

### Input

`topics[]`, optional YouTube URLs / video ids, module toggles, caps, `dryRunMock`

### Local

```bash
npm install && npm test
ACTOR_TEST_MODE=mock npm start
```

UNLICENSED — GrokBob / Bob Helt.

# Actor input Schema

## `topics` (type: `array`):

Content topics → Google News fanout (+ optional YT search stubs in mock).

## `youtubeUrls` (type: `array`):

Optional direct video URLs/IDs for transcript module.

## `hl` (type: `string`):

Google language code (hl), e.g. en, es, de.

## `gl` (type: `string`):

Google country / region code (gl), e.g. us, gb, de.

## `lang` (type: `string`):

Preferred caption / content language code.

## `maxArticlesPerTopic` (type: `integer`):

Cap news articles per topic.

## `maxTopics` (type: `integer`):

Hard cap on topics processed this run.

## `maxVideos` (type: `integer`):

Hard cap on YouTube URLs/IDs processed this run.

## `dryRunMock` (type: `boolean`):

When true, use built-in fixtures and do not call live network. For local/CI only — never production Store runs.

## Actor input object example

```json
{
  "topics": [
    "openai",
    "empty"
  ],
  "youtubeUrls": [
    "dQw4w9WgXcQ",
    "nocaptions"
  ],
  "hl": "en",
  "gl": "US",
  "lang": "en",
  "maxArticlesPerTopic": 5,
  "maxTopics": 30,
  "maxVideos": 30,
  "dryRunMock": false
}
```

# 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 = {
    "topics": [
        "openai",
        "empty"
    ],
    "youtubeUrls": [
        "dQw4w9WgXcQ",
        "nocaptions"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("grokbob/content-intel-pack-ppe").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 = {
    "topics": [
        "openai",
        "empty",
    ],
    "youtubeUrls": [
        "dQw4w9WgXcQ",
        "nocaptions",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("grokbob/content-intel-pack-ppe").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 '{
  "topics": [
    "openai",
    "empty"
  ],
  "youtubeUrls": [
    "dQw4w9WgXcQ",
    "nocaptions"
  ]
}' |
apify call grokbob/content-intel-pack-ppe --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,grokbob/content-intel-pack-ppe"
        }
    }
}
```

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/yVEqwtMK2eXod4mwX/builds/lZKyEGSlSGfViqZW0/openapi.json