# Replicate AI Models Scraper (`parseforge/replicate-models-scraper`) Actor

Scrapes AI model metadata from Replicate's Explore page or any collection. Returns each model as a flat row with name, description, run count, owner, and hardware details.

- **URL**: https://apify.com/parseforge/replicate-models-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** AI, Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $7.69 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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

[![ParseForge](https://raw.githubusercontent.com/ParseForge/apify-assets/main/banner.jpg)](https://apify.com/parseforge?fpr=vmoqkp)

### Replicate AI Models Scraper

**Scrape AI model metadata from Replicate's Explore page or any collection, up to a million models per run.** Every model comes with its name, description, run count, owner, and hardware details. No API key required. Export to CSV, JSON, Excel, or XML.

Replicate's official API needs a token and pagination logic for browsing models. This reads the public model feeds directly, filtered by collection slug, and returns each match in one fixed schema. You get a flat dataset of AI models without writing a single line of code.

| Who uses it | What they scrape Replicate for |
|---|---|
| AI developers | Find trending open-source models for a new project. |
| Product managers | Monitor which model categories are growing fastest. |
| Market researchers | Track model popularity and run counts over time. |
| Content curators | Build a searchable directory of AI models by task. |

### What it does

This Actor collects AI model listings from Replicate by collection or from the main Explore feed, and returns each model as a flat row.

- 🧭 **Explore feed:** scrape featured, official, and trending models from the main Explore page.
- 📂 **Collection scraping:** target a specific collection like text-to-image, image-editing, or language-models.
- 🔢 **Flexible volume:** collect anywhere from a single model up to 1,000,000 per run.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

### What you can do with Replicate data

**📈 Track model trends.**

A market researcher scrapes the text-to-image collection weekly to see which new models are gaining runs and which are fading.

**🧪 Find models for a prototype.**

An AI developer scrapes the language-models collection to compare open-source LLMs by run count and hardware before integrating one.

**📋 Build a model directory.**

A content curator scrapes the full Explore feed daily to populate a searchable website of AI models with descriptions and owner names.

**📊 Monitor the competitive landscape.**

A product manager scrapes the image-editing collection to see which companies are publishing the most models and how their run counts compare.

### Why choose this scraper

|  | What you get |
|---|---|
| **No API key** | Scrapes the public web feeds, no token or registration needed. |
| **Fixed schema** | Every model returns the same fields, ready for analysis. |
| **Collection filter** | Narrow results to a single task category like text-to-video. |
| **High volume** | Collect up to a million models in one long run. |

### How it compares

No other Store actor targets Replicate the same way, so the honest comparison is with the alternatives teams actually weigh.

| | Replicate AI Models Scraper | Build it in-house | By hand |
|---|---|---|---|
| Setup | Run it now, zero config | Days of engineering | None, but hours per pull |
| When Replicate changes | Maintained for you | You fix it | You re-learn the page |
| Proxies, retries, anti-bot | Built in | Your problem | Browser only |
| Output | Fixed JSON schema, CSV/Excel export | Whatever you build | Copy-paste |
| Cost | Pay per result | Engineering time | Analyst hours |

### Configure the run

Drive the Actor from the Explore page or a collection slug, and set a maximum number of models to collect so only the newest or most relevant entries reach your dataset. The Input tab lists every parameter.

A first run with the defaults:

```json
{
  "maxItems": 10
}
```

A larger pull:

```json
{
  "maxItems": 200
}
```

### Pricing

Pay-per-result: **$0.0085 per result** collected. You pay only for the results written to your dataset.

| Results collected | Approximate cost |
|---|---|
| 100 results | $0.85 |
| 1,000 results | $8.50 |
| 10,000 results | $85.00 |

New Apify accounts start with $5 in free credit.

### Free users

Free-plan runs return up to 10 results as a preview. [Upgrade your Apify plan](https://console.apify.com/sign-up?fpr=vmoqkp) to collect up to 1,000,000 results per run.

### Run it

1. [Create a free Apify account with $5 in credit](https://console.apify.com/sign-up?fpr=vmoqkp).
2. Open the [Replicate AI Models Scraper](https://apify.com/parseforge/replicate-models-scraper?fpr=vmoqkp).
3. Set your inputs and any filters, then click **Start**.
4. Export the results as CSV, Excel, JSON, or XML from the **Dataset** tab.

Run it programmatically through the [Apify API](https://docs.apify.com/api/v2) (`run-sync-get-dataset-items`) or the [ApifyClient](https://docs.apify.com/api/client/js) for JavaScript and Python.

### Use with AI agents (MCP)

Give an AI agent live access to Replicate through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

```bash
claude mcp add --transport http apify "https://mcp.apify.com/?tools=parseforge/replicate-models-scraper"
```

Then prompt it in plain language to run the scraper and read back the results.

### Troubleshooting

**Why am I getting no results?**

Check that the collection slug is spelled correctly and matches an existing Replicate collection. If left empty, the Explore page will be scraped. Also ensure 'Maximum models' is set to at least 1.

**Why does the run stop before reaching my maximum models?**

The Actor stops when it has collected all available models on the page. If the collection or Explore feed has fewer models than your maximum, the run ends early.

**Some model fields are empty in my dataset.**

Not every model listing includes all metadata. If a field like hardware or description is missing on Replicate, it will appear empty in your results.

**The scraper is running slowly.**

Large runs with a high maximum model count take longer because the Actor scrolls through many pages. Reduce the maximum or run it less frequently.

**I get an error about an invalid collection slug.**

Visit replicate.com/collections to see the available collections. Use the exact slug from the URL, for example 'text-to-video' not 'text to video'.

### FAQ

| Question | Answer |
|---|---|
| Do I need a Replicate API key to use this scraper? | No. This Actor reads the public model listing pages on replicate.com, so no API key or account is required. |
| What is a collection slug? | A collection slug is the last part of a Replicate collection URL, for example 'text-to-image' in replicate.com/collections/text-to-image. Use it to scrape only models from that category. |
| Can I scrape all models on Replicate? | You can scrape up to 1,000,000 models per run from the Explore feed or a specific collection. The Explore feed includes featured, official, and trending models. |
| What data fields does the scraper return? | Each row includes the model name, description, run count, owner, hardware information, and other metadata visible on the listing page. |
| How do I scrape only the newest models? | Set a low 'Maximum models' value and run the Actor frequently. The Explore feed and collection pages list models with newer and trending ones first. |
| Can I filter models by run count or owner? | The Actor collects all models from the chosen source. To filter by run count or owner, export the dataset and filter it in a spreadsheet or database. |
| Is this an official Replicate integration? | No, this is an unofficial scraper built by ParseForge that reads public web pages. It is not affiliated with Replicate, Inc. |
| What export formats are supported? | You can export your dataset in CSV, JSON, Excel, or XML from the Apify platform. |
| How often can I run this Actor? | You can schedule it to run as often as you need, from once to every few minutes, using Apify's built-in scheduler. |
| Does this scraper handle pagination automatically? | Yes. The Actor scrolls through the model feed and collects entries until it reaches your set maximum or the end of the list. |

### Related actors

Browse the full [ParseForge collection](https://apify.com/parseforge?fpr=vmoqkp) for more scrapers.

🆘 **Need help?** Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ **Disclaimer.** This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Replicate, Inc. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.

# Actor input Schema

## `collection` (type: `string`):

Optional. A Replicate collection slug to scrape instead of the general explore feed, for example "text-to-image", "image-editing", "language-models", "text-to-video". Leave empty to scrape the Explore page.

## `maxItems` (type: `integer`):

How many models to collect per run.

## Actor input object example

```json
{
  "maxItems": 10
}
```

# 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 = {
    "collection": "",
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/replicate-models-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 = {
    "collection": "",
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("parseforge/replicate-models-scraper").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 '{
  "collection": "",
  "maxItems": 10
}' |
apify call parseforge/replicate-models-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,parseforge/replicate-models-scraper"
        }
    }
}

```

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/FdsTEGsiNRt1t7Qoa/builds/RYDQ9TLmSsTBe9DHr/openapi.json