# Duplicate & Near-Duplicate Content Checker (`victor187/duplicate-content-similarity-checker`) Actor

Compares texts or URLs pairwise for exact similarity percentage plus overlapping phrases as evidence. Catches near-duplicate pages, AI-generated content that reads too similar, and plagiarism.

- **URL**: https://apify.com/victor187/duplicate-content-similarity-checker.md
- **Developed by:** [victor](https://apify.com/victor187) (community)
- **Categories:** SEO tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 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

## Duplicate & Near-Duplicate Content Checker

Compare texts or URLs and get an exact similarity percentage — plus the actual overlapping phrases as evidence, not just a black-box score.

### What it does

Give it a list of texts (or URLs — it fetches and extracts the visible text for you) and it compares every pair, returning:

- A similarity percentage based on shared 8-word phrases
- The actual shared phrases, so you can see exactly what's duplicated, not just trust a number

### Input

```json
{
  "items": [
    { "id": "page-a", "url": "https://example.com/product-1" },
    { "id": "page-b", "text": "Or paste raw text directly instead of a URL." }
  ],
  "minSimilarityToReport": 20
}
```

### Who this is for

- SEO teams checking if AI-generated pages read too similar to each other
- Content managers finding redundant blog posts or landing pages
- Agencies verifying content is unique after a migration or rewrite
- E-commerce teams checking if product descriptions are too close to a competitor's or to each other

### Pricing

Pay per use — no subscription:

- $0.01 per run
- $0.005 per comparison returned

# Actor input Schema

## `items` (type: `array`):

Each item needs an "id" and either "text" (raw text) or "url" (the Actor will fetch and extract visible text). All items are compared pairwise.

## `minSimilarityToReport` (type: `integer`):

Only pairs at or above this similarity percentage are returned. Set to 0 to see all pairs.

## Actor input object example

```json
{
  "items": [
    {
      "id": "page-a",
      "text": "Our wireless headphones offer premium sound quality with active noise cancellation and up to 30 hours of battery life."
    },
    {
      "id": "page-b",
      "text": "These wireless headphones offer premium sound quality with active noise cancellation and up to 30 hours of battery life, plus a carrying case."
    }
  ],
  "minSimilarityToReport": 20
}
```

# Actor output Schema

## `comparisons` (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 = {
    "items": [
        {
            "id": "page-a",
            "text": "Our wireless headphones offer premium sound quality with active noise cancellation and up to 30 hours of battery life."
        },
        {
            "id": "page-b",
            "text": "These wireless headphones offer premium sound quality with active noise cancellation and up to 30 hours of battery life, plus a carrying case."
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("victor187/duplicate-content-similarity-checker").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 = { "items": [
        {
            "id": "page-a",
            "text": "Our wireless headphones offer premium sound quality with active noise cancellation and up to 30 hours of battery life.",
        },
        {
            "id": "page-b",
            "text": "These wireless headphones offer premium sound quality with active noise cancellation and up to 30 hours of battery life, plus a carrying case.",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("victor187/duplicate-content-similarity-checker").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 '{
  "items": [
    {
      "id": "page-a",
      "text": "Our wireless headphones offer premium sound quality with active noise cancellation and up to 30 hours of battery life."
    },
    {
      "id": "page-b",
      "text": "These wireless headphones offer premium sound quality with active noise cancellation and up to 30 hours of battery life, plus a carrying case."
    }
  ]
}' |
apify call victor187/duplicate-content-similarity-checker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,victor187/duplicate-content-similarity-checker"
        }
    }
}
```

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/rKhzcEdOOkfpjDgse/builds/hj0iJaAcq7CjCoedZ/openapi.json