# Keyword Intel Pack — Trends + Autocomplete + News in One Run (`grokbob/keyword-intel-pack-ppe`) Actor

One seed → Trends summary, Autocomplete suggests, and News cards as flat rows. From $0.30 per 1,000 successful suggest rows (primary); trends $0.20/1k · article $0.50/1k — empty/blocked modules $0. Prefer standalone Trends or News for the primary SEO job.

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

## Pricing

from $0.30 / 1,000 successful suggest 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

## Keyword Intel Pack — Trends + Autocomplete + News in One Run

**Slug:** `keyword-intel-pack-ppe`\
**Job:** One seed → Trends interest summary + Google Autocomplete suggests + Google News cards as **flat agent-ready rows**. One run instead of three Actors.

### Pricing (Console locked)

| Event | Price | When |
| --- | ---: | --- |
| `suggest-row` (primary) | **$0.0003** (**$0.30 / 1,000** successful suggests) | Charged only on OK autocomplete rows |
| `trends-row` | **$0.0002** (**$0.20 / 1,000** successful Trends summaries) | Charged only on OK Trends rows with useful volume |
| `article-result` | **$0.0005** (**$0.50 / 1,000** successful news articles) | Charged only on OK news rows with title + URL |
| `apify-actor-start` | Platform start (~$0.01/GB, min 1) | May apply each run |

EMPTY / NO\_VOLUME / BLOCKED / FAILED do **not** take those custom events.

**From $0.30 per 1,000** successful suggest rows (primary).

**Store sticker:** suggest **$0.30 / 1k** · trends **$0.20 / 1k** · article **$0.50 / 1k** — empty/blocked modules $0.

### Why this pack

- Incumbents sell Trends, Autocomplete, and News as separate tools
- Agents stitch 3 calls; we return one flat dataset tagged by `module`
- Prefer standalone Trends or News Actors when you only need one lane

### Inputs

`seeds[]`, `geo`, `timeframe`, `hl`, `gl`, `modules{trends,suggest,news}`, caps, `dryRunMock`

### Local

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

UNLICENSED — GrokBob / Bob Helt.

# Actor input Schema

## `seeds` (type: `array`):

1–N seeds. Each seed fans out to Trends summary + autocomplete + news modules.

## `geo` (type: `string`):

Google Trends geo (e.g. US, GB).

## `timeframe` (type: `string`):

Google Trends timeframe string.

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

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

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

Suggest/news country code (lowercase for suggest, uppercase OK for news).

## `modules` (type: `object`):

Toggle pack modules. Default all on.

## `maxSuggestionsPerSeed` (type: `integer`):

Cap autocomplete suggestion rows (and billable events) per seed.

## `maxArticlesPerSeed` (type: `integer`):

Cap news article rows (and billable events) per seed.

## `maxSeeds` (type: `integer`):

Hard cap on seeds processed this run. Excess skipped with FAILED reason=maxSeeds.

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

When true, no live Google calls. Built-in fixtures only. Never use in production Store runs.

## Actor input object example

```json
{
  "seeds": [
    "openai",
    "empty",
    "blocked"
  ],
  "geo": "US",
  "timeframe": "today 12-m",
  "hl": "en",
  "gl": "us",
  "maxSuggestionsPerSeed": 8,
  "maxArticlesPerSeed": 5,
  "maxSeeds": 50,
  "dryRunMock": false
}
```

# Actor output Schema

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

Flat agent-ready module rows.

# 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 = {
    "seeds": [
        "openai",
        "empty",
        "blocked"
    ],
    "geo": "US",
    "timeframe": "today 12-m",
    "hl": "en",
    "gl": "us"
};

// Run the Actor and wait for it to finish
const run = await client.actor("grokbob/keyword-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 = {
    "seeds": [
        "openai",
        "empty",
        "blocked",
    ],
    "geo": "US",
    "timeframe": "today 12-m",
    "hl": "en",
    "gl": "us",
}

# Run the Actor and wait for it to finish
run = client.actor("grokbob/keyword-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 '{
  "seeds": [
    "openai",
    "empty",
    "blocked"
  ],
  "geo": "US",
  "timeframe": "today 12-m",
  "hl": "en",
  "gl": "us"
}' |
apify call grokbob/keyword-intel-pack-ppe --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,grokbob/keyword-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/kOPapQNuee2bPllQI/builds/7e1jBPHTBelhWgFzw/openapi.json