# Framer Vectors Scraper (`53prod/framer-vectors-scraper`) Actor

Extract vector data from Framer Marketplace. Use the form to scrape URLs, names, pricing, and product-related data.

- **URL**: https://apify.com/53prod/framer-vectors-scraper.md
- **Developed by:** [53 prod](https://apify.com/53prod) (community)
- **Categories:** Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.50 / 1,000 vector listeds

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?

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

## Framer Vectors Scraper

Extract publicly available vector data from the [Framer Marketplace](https://www.framer.com/community/marketplace/vectors/), optimized for the latest Framer website redesign (August 22, 2026).

The Actor uses persistent memory to track its scraping state and avoid collecting duplicate listings. This makes recurring runs more efficient and cost-effective. Output is structured, labeled, and ready for time-series analysis.

All data is collected from publicly available information.

### Key Features

- **Browse by category:**  Logos, Shapes, Illustrations, Icons, or All
- **Sort by Price:**  Paid, Free, or All
- **Discovery:**  Latest or Trending Vector listings
- **Max Items:**  Number of Vectors you want to process.
- **Extract Details Page:**  Creator url, email, license, tags, images, published, and last updated

### Important Note

Persistent state resets daily, so recurring runs may rediscover previously processed listings after the reset.

### Configuration

| Parameter | Type     | Description                       |
| :-------- | :------- | :-------------------------------- |
| `category`      | `string` |Filter by category (Logos, Icons, Illustrations, Shapes, or All.) |
| `pricing`      | `string` | Paid, Free, or All |
| `newest`      | `boolean` | Trending or Latest (Trending is default) |
| `include details`      | `boolean` | Enable to access vector page |
| `max items`      | `integer` | maximum vectors to process (0 = unlimited) |

### Output

| Parameter | Type     | Available                |
| :-------- | :------- | :------------------------- |
| `vector name` | `string` | Always |
| `url` | `string` | Always |
| `scraped date` | `string` | Always |
| `price` | `string` | Always |
| `creator` | `string` | Always |
| `creator email` | `string` | With details |
| `creator url` | `string` | With details |
| `vector published date` | `string` | With details |
| `vector last updated` | `string` | With details |
| `license` | `string` | With details |
| `tags` | `array` | With details |
| `thumbnail images` | `array` | With details |

### Example Output

```json
{
    "item_id": "/community/marketplace/vectors/example/",
    "scraped_date": "2026-08-23",
    "title": "example",
    "cost": "Free",
    "url": "https://www.framer.com/community/marketplace/vectors/example/",
    "author": "example",
    "email": "example@example.com",
    "published": "2026-08-16",
    "last_updated": "2026-08-16",
    "license": "Limited",
    "tags": [
      "Lifestyle"
    ],
    "creator_url": "https://www.framer.com/community/creator/example/",
    "image_urls": [
      "https://y4pdgnepgswqffpt.public.blob.vercel-storage.com/..."
    ]
  }
```

> **Note:** Field names in the example output may differ slightly from the human-readable output field descriptions above.

### Pricing

The Actor uses **Pay Per Event** pricing.

Enabling `include details` can generate additional events because the Actor needs to access individual vector pages.

For the lowest possible cost, disable detail extraction when the additional metadata is not required.

# Actor input Schema

## `category` (type: `string`):

Marketplace category to scrape.

## `pricing` (type: `string`):

Filter vectors by pricing. Set to all for both

## `newest` (type: `boolean`):

Sort marketplace vectors by newest first. Set to false for trending

## `include_details` (type: `boolean`):

Scrape creator url, email, license, images and last updated.

## `max_items` (type: `integer`):

Maximum number of vectors to scrape. Set to 0 for unlimited.

## Actor input object example

```json
{
  "category": "all",
  "pricing": "all",
  "newest": true,
  "include_details": true,
  "max_items": 0
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("53prod/framer-vectors-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("53prod/framer-vectors-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 '{}' |
apify call 53prod/framer-vectors-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,53prod/framer-vectors-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/eKdUKEqSE6E8qCN6U/builds/Aj9HYYwtH4fkz6CsT/openapi.json