# Clips4Sale Clips & Studios Scraper (`scrapers_lat/clips4sale-scraper`) Actor
Scrape the Clips4Sale catalog by keyword or category. Get clip title, price, studio, category, resolution, length, keywords and sale status for market and pricing research. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/clips4sale-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** E-commerce, Business, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.40 / 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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
## Clips4Sale Clips & Studios Scraper
> Search the Clips4Sale catalog by keyword or category and export clean records with clip title, price, studio, category, resolution, length and sale status for pricing and market research.
By keyword or category
Price & studio plus sale status
JSON / CSV / Excel output formats
### What you get
Each record is one clip in the catalog, ready for a pricing model, a spreadsheet or market research:
- **title** and **url**: the clip and a direct link
- **price**, **discountedPrice** and **onSale**: current pricing and sale status
- **studioName**, **studioId** and **studioUrl**: the studio that sells it
- **category** and **categoryId**
- **relatedCategories** and **relatedKeywords**: how the clip is tagged
- **format**, **resolution**, **lengthMinutes**, **sizeMB**
- **addedAt**: when it was published
- **description**: the clip description
- **performers**, **thumb**, **previewLink**
- **observedAt**: when the record was read
### Who is it for
| Use case | Who benefits |
|---|---|
| Pricing research | Creators and studios benchmarking clip prices in a niche |
| Market research | Analysts sizing demand and competition by category |
| Trend tracking | Teams watching which themes and studios are growing |
| Catalog building | Developers feeding a catalog or dashboard |
### How to use it
1. Enter a **search keyword** (or `all` to browse the newest clips), and optionally a **category id**.
2. Set **Max Items** and run.
3. Export the results as JSON, CSV or Excel, or pull them through the Apify API.
### Frequently Asked Questions
**What can I search?**
Any keyword against the public catalog, optionally narrowed to a single category by its numeric id. Use `all` to browse the newest clips across every category.
**Does it include prices?**
Yes. Each clip returns its price, its discounted price when it is on sale, and a sale flag, so you can compare pricing across studios and niches.
**How many clips per run?**
As many as you set in Max Items. The catalog paginates automatically until the limit is reached or the results run out.
**Is any of this behind a login?**
No. The actor only reads the public catalog listing (titles, prices, studios and tags). It does not access purchased content.
### Related scrapers
- [Google Play Apps Scraper](https://apify.com/scrapers_lat/google-play-apps-scraper)
- [App Store Reviews Scraper](https://apify.com/scrapers_lat/app-store-reviews-scraper)
- [Etsy Scraper](https://apify.com/scrapers_lat/etsy-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: marketplaces, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Clips4Sale. It only accesses publicly available catalog data. Use the results in accordance with the source's terms and applicable laws.
# Actor input Schema
## `searchQuery` (type: `string`):
A keyword to search the catalog (for example a niche or theme). Use 'all' to browse the newest clips across the whole catalog.
## `categoryId` (type: `string`):
Optional. Restrict to one category by its numeric id. Leave as 0 to search all categories.
## `maxItems` (type: `integer`):
Maximum number of clips to collect. Optional.
## `proxyConfiguration` (type: `object`):
Optional. Route requests through a proxy if you run large jobs. Not required for normal use.
## Actor input object example
```json
{
"searchQuery": "feet",
"categoryId": "0",
"maxItems": 60,
"proxyConfiguration": {
"useApifyProxy": false
}
}
````
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"searchQuery": "feet",
"categoryId": "0",
"maxItems": 60
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/clips4sale-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"searchQuery": "feet",
"categoryId": "0",
"maxItems": 60,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/clips4sale-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 '{
"searchQuery": "feet",
"categoryId": "0",
"maxItems": 60
}' |
apify call scrapers_lat/clips4sale-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/clips4sale-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Clips4Sale Clips & Studios Scraper",
"description": "Scrape the Clips4Sale catalog by keyword or category. Get clip title, price, studio, category, resolution, length, keywords and sale status for market and pricing research. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "UAZb51ymwcnVhiR8C"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~clips4sale-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-clips4sale-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~clips4sale-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-clips4sale-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~clips4sale-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-clips4sale-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"searchQuery": {
"title": "Search keyword",
"type": "string",
"description": "A keyword to search the catalog (for example a niche or theme). Use 'all' to browse the newest clips across the whole catalog."
},
"categoryId": {
"title": "Category ID",
"type": "string",
"description": "Optional. Restrict to one category by its numeric id. Leave as 0 to search all categories."
},
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of clips to collect. Optional."
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Optional. Route requests through a proxy if you run large jobs. Not required for normal use.",
"default": {
"useApifyProxy": false
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```