# Amazon Influencer Posts Scraper (`powerai/amazon-influencer-posts-scraper`) Actor

Export posts from an Amazon Influencer storefront—titles, links, thumbnails, types, and more—one row per post with a collection timestamp.

- **URL**: https://apify.com/powerai/amazon-influencer-posts-scraper.md
- **Developed by:** [PowerAI](https://apify.com/powerai) (community)
- **Categories:** E-commerce, Integrations, Other
- **Stats:** 8 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Amazon Influencer Posts Scraper

Collect public posts from an Amazon Influencer’s storefront: titles, links, thumbnails, post types, pins, and optional list/video metadata—saved as one row per post, with a timestamp on each row.

### Key Features

- Collect up to your chosen **maximum** number of posts; follows **cursor** paging until that limit or until there is no next page
- Core fields: **post\_id** (e.g. `amzn1.ideas…` for idea lists), **post\_type** (e.g. `List`), **post\_title**, **post\_url** (shop/list or post URL), **post\_thumbnail**, **is\_pinned**
- **list\_items\_count** appears on list-style posts (number of items in the list); **video\_duration** may appear on video posts
- Filters: **marketplace** (country), **scope** (all posts, idea lists only, photos, or videos), optional **search query**, **language**, and optional **fields** projection
- Each record includes **scrapedAt** (ISO 8601) when the row was written

### Why Use It?

- **Practical**: See what an influencer publishes on Amazon in one structured export
- **Structured**: JSON rows for research, monitoring, or content workflows
- **Steady**: Stops at your cap or when the feed ends

### Great For

- Influencer content audits and competitive research
- Tracking idea lists, photo posts, and video posts by scope
- Building catalogs of storefront content with stable URLs

### Input Parameters

| Parameter | Required | Description |
|-----------|----------|-------------|
| `influencer_name` | Yes | Influencer storefront name or handle. |
| `maxResults` | No | Maximum posts to collect (default: 48). |
| `geo` | No | Which country’s Amazon site to use (default: `US`). Pick **UK** for the United Kingdom marketplace. |
| `scope` | No | `ALL`, `IDEA_LISTS`, `PHOTOS`, or `VIDEOS` (default: all—no scope filter). |
| `query` | No | Optional keyword filter within that influencer’s posts. |
| `language` | No | Preferred language when supported (e.g. `en_US`). |
| `fields` | No | Comma-separated attributes if you want a narrower payload. |

### Output

Each dataset row is one post. The actor appends **scrapedAt** (ISO 8601). Fields depend on **post\_type** (lists vs photos vs videos).

| Field | Type | Description |
|-------|------|-------------|
| `post_id` | string | Stable id for the post (e.g. idea-list ids often look like `amzn1.ideas.…`). |
| `post_type` | string | Content kind, e.g. `List` for idea lists. |
| `post_title` | string | Title shown on the storefront. |
| `post_url` | string | URL to open the list or post (often under `/shop/…/list/…`). |
| `post_thumbnail` | string | Thumbnail image URL. |
| `is_pinned` | boolean | Whether the post is pinned on the influencer page. |
| `list_items_count` | number | How many products/items are in the list (when applicable). |
| `video_duration` | string | May appear on video posts. |
| `scrapedAt` | string | When this row was collected (ISO 8601). |

#### Sample record (idea list)

```json
{
  "post_id": "amzn1.ideas.3842UIVTBU82O",
  "post_type": "List",
  "post_title": "HAIR TOOLS",
  "post_url": "https://www.amazon.com/shop/rockybarnes/list/3842UIVTBU82O",
  "post_thumbnail": "https://m.media-amazon.com/images/I/61-dI4F6bjL._AC_._US550_SCLZZZZZZZ_.jpg",
  "is_pinned": false,
  "list_items_count": 33,
  "scrapedAt": "2026-03-24T03:37:32.223Z"
}
```

### Notes

- Availability and fields depend on the influencer and marketplace.
- Respect Amazon’s terms and applicable laws when using scraped data.

# Actor input Schema

## `influencer_name` (type: `string`):

Amazon Influencer storefront name or handle to load posts for.

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

Maximum number of posts to collect across cursor pages.

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

Which Amazon country site to use. Choose UK for the United Kingdom marketplace.

## `scope` (type: `string`):

Which kinds of posts to include. All means no scope filter.

## `query` (type: `string`):

Optional keyword filter within the influencer’s posts.

## `language` (type: `string`):

Optional result language (e.g. en\_US) when supported.

## `fields` (type: `string`):

Optional comma-separated list to limit which attributes appear in each row.

## Actor input object example

```json
{
  "influencer_name": "rockybarnes",
  "maxResults": 40,
  "geo": "US",
  "scope": "ALL",
  "language": "en_US"
}
```

# 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 = {
    "influencer_name": "rockybarnes",
    "maxResults": 40,
    "geo": "US",
    "scope": "ALL",
    "language": "en_US"
};

// Run the Actor and wait for it to finish
const run = await client.actor("powerai/amazon-influencer-posts-scraper").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 = {
    "influencer_name": "rockybarnes",
    "maxResults": 40,
    "geo": "US",
    "scope": "ALL",
    "language": "en_US",
}

# Run the Actor and wait for it to finish
run = client.actor("powerai/amazon-influencer-posts-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "influencer_name": "rockybarnes",
  "maxResults": 40,
  "geo": "US",
  "scope": "ALL",
  "language": "en_US"
}' |
apify call powerai/amazon-influencer-posts-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=powerai/amazon-influencer-posts-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/lgYi5foaAEKSlItNM/builds/85cdBiJfjutGxGPSM/openapi.json