# Influencer Fake Followers Check - Real Or All Bots? (`reapx/creator-credibility-scorer`) Actor

"They want $4,000 for one post. Is anyone actually seeing it?" Get the real engagement rate against creators the same size, spot bought-follower spikes, and know who is worth paying before the money moves.

- **URL**: https://apify.com/reapx/creator-credibility-scorer.md
- **Developed by:** [Tarek Etman](https://apify.com/reapx) (community)
- **Categories:** For creators, Marketing, Social media
- **Stats:** 1 total users, 0 monthly users, 94.1% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.91 / 1,000 creator checkeds

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/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

![reapX - the record of what changed](https://reapx.dev/reapx.gif)

## Real Audience, Or All Bots?

> *"They want $4,000 for one post. Is anyone actually going to see it?"*

Follower count tells you nothing. A bought audience and a real one look identical on the
profile, and by the time you find out which you bought, the money has gone.

You get one number out of 100, and every piece of it is something we measured: how the
followers arrived and whether the curve has jumps no real account produces, what the engagement
rate is **against creators the same size**, how much conversation sits under the likes, and how
steady it is post to post. Bought engagement is suspiciously even; real audiences are messy.

**What comes back reads like this:**

> *"@creator scores 34/100. They gained 40,000 followers in three days in March and their
> comment-to-like ratio is a tenth of what creators their size run at. The likes are there.
> The people are not."*

Every part of that score says what it was built from, so you can defend the call to a client.

### ⬇️ Input

The actor accepts an array of creator canonical handles, maximum creator count, and an optional proxy configuration.

| Field | Type | Description |
|---|---|---|
| `handles` | Array | The creators you want checked - one handle per line. |
| `maxCreators` | Integer | Maximum number of creator profiles to process in a single run. |
| `proxyConfiguration` | Object | Optional proxy settings to rotate exit IPs per request. |

### ⬆️ Output

Every processed creator profile outputs a structured record to the default dataset.

- `canonicalHandle` (Stable per-row identifier)
- `credibilityScore` (Composite score 0-100)
- Derived answer metrics and profile attributes.

### How it works

1. **Multi-Metric Extraction**: Collects profile metrics, video counts, like counts, and comment threads without mandatory proxy spend.
2. **Scoring**: Weighs engagement ratios, repeat-commenter overlap and the shape of the growth curve into one number you can defend.
3. **Ledger History Trail**: Tracks history depth via `daysTracked`, `firstSeenAt`, and `lastSeenAt` so agencies can defend numbers in client decks.

### ❓ FAQ

#### How is the score worked out?

The score combines peer-adjusted engagement multipliers, comment author repeat rates (pod signals), follower growth continuity, and geographic commenter alignment into a 0-100 index.

#### Why does followerSpikeFlag return null on initial runs?

Step-change spike detection requires observed historical runs over time. On the first run, the actor returns `null` along with a `computedStatus` object noting that tracking begins today.

### 💬 Your feedback

Want different weights, or the data wired into something you already run? reapxdev@proton.me.

***

*Unofficial - not affiliated with social networks. Collects only data visible without logging in.*
reapx · reapx.dev · reapxdev@proton.me

# Actor input Schema

## `handles` (type: `array`):

One handle per line - the creators you are about to pay, or the ones a client sent you. Paste the whole list and check them together.

## `maxCreators` (type: `integer`):

How many of the creators on your list we work through in one run. Raise it when you are checking a full shortlist rather than one name.

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

How the run reaches the platform. The default is already the route that works for this source, so leave it alone unless you have a reason to change it.

## Actor input object example

```json
{
  "handles": [
    "khaby.lame",
    "nike",
    "gymshark",
    "natgeo"
  ],
  "maxCreators": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `items` (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 = {
    "handles": [
        "khaby.lame",
        "nike",
        "gymshark",
        "natgeo"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("reapx/creator-credibility-scorer").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 = {
    "handles": [
        "khaby.lame",
        "nike",
        "gymshark",
        "natgeo",
    ],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("reapx/creator-credibility-scorer").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 '{
  "handles": [
    "khaby.lame",
    "nike",
    "gymshark",
    "natgeo"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call reapx/creator-credibility-scorer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=reapx/creator-credibility-scorer",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/7I7mVgWEEjiCGTSNz/builds/PtKupambBFd3nGtfE/openapi.json