# Indeed Search Scraper (`dtrungtin/indeed-search-scraper`) Actor

Extracting all jobs from the search page.

- **URL**: https://apify.com/dtrungtin/indeed-search-scraper.md
- **Developed by:** [Tin](https://apify.com/dtrungtin) (community)
- **Categories:** Jobs
- **Stats:** 5 total users, 3 monthly users, 81.8% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $30.00 / 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/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

#### Canva Templates Scraper

Canva Templates Scraper is an [Apify actor](https://apify.com/actors) for extracting templates from [Canva](https://www.canva.com/). It is build on top of [Apify SDK](https://sdk.apify.com/) and you can run it both on [Apify platform](https://my.apify.com) and locally.
You should go to www.canva.com and mouse over the "Templates" dropdown on the header and there you choose a category you want to scrape. It always has to have the format https://www.canva.com/xxxx/templates/.

- [Input](#input)
- [Output](#output)
- [Compute units consumption](#compute-units-consumption)

#### Input

| Field | Type | Description | Default value
| ----- | ---- | ----------- | -------------|
| startUrls | array | List of [Request](https://sdk.apify.com/docs/api/request#docsNav) objects that will be crawled. The URL can be a template list page `https://www.canva.com/banners/templates/`. | `https://www.canva.com/banners/templates/` |
| proxyConfiguration | object | Proxy must be always used when running on the platform  | `{ "useApifyProxy": true }`|

#### Output

Output is stored in a dataset. Each item is an information about a template. Example:

```
[{
  "url": "https://www.canva.com/templates/EAEeJtdDwwI-blue-and-orange-organic-and-handcrafted-welcome-message-elementary-back-to-school-banner/",
  "name": "Blue and Orange Organic and Handcrafted Welcome Message Elementary Back to School Banner",
  "colorList": [
    "#f0efed",
    "#0c5eaf",
    "#ed9f54",
    "#685347",
    "#cb4642"
  ],
  "fontList": [
    "Hero",
    "Marykate"
  ],
  "size": null,
  "categoryId": "tAEAieI2jOU",
  "templateId": "EAEeJtdDwwI",
  "typeId": "TAEJIJ68vc8",
  "frontImageUrl": "https://marketplace.canva.com/EAEeJtdDwwI/1/0/1600w/canva-blue-and-orange-organic-and-handcrafted-welcome-message-elementary-back-to-school-banner-0wSP4WNLyvw.jpg",
  "frontThumbImageUrl": "https://marketplace.canva.com/EAEeJtdDwwI/1/0/400w/canva-blue-and-orange-organic-and-handcrafted-welcome-message-elementary-back-to-school-banner-h2Zp-IRxzSU.jpg",
  "backImageUrl": null,
  "backThumbImageUrl": null
},
{
  "url": "https://www.canva.com/templates/EAEnshLmzZQ-blue-school-admission-registration-banner/",
  "name": "Blue School Admission Registration Banner",
  "colorList": [
    "#0e2e48",
    "#d5e2e9",
    "#94726e",
    "#a6b55c",
    "#e47b2b"
  ],
  "fontList": [
    "Montserrat Extra-Bold",
    "Montserrat Semi-Bold"
  ],
  "size": "72 × 36 in",
  "categoryId": false,
  "typeId": "CANVA_FOR_WORK",
  "frontImageUrl": "https://marketplace.canva.com/EAEnshLmzZQ/1/0/1600w/canva-blue-school-admission-registration-banner-_UNubrJDPn0.jpg",
  "frontThumbImageUrl": "https://marketplace.canva.com/EAEnshLmzZQ/1/0/400w/canva-blue-school-admission-registration-banner-dYsmwnrRXPU.jpg",
  "backImageUrl": null,
  "backThumbImageUrl": null
}]
```

### Related Actors you might like

Speed up your whole scraping workflow with these companion tools from the same developer:

- **[AI Dataset Search](https://apify.com/dtrungtin/ai-dataset-search)** — Search and explore your scraped datasets in plain English. Ask questions and instantly surface the profiles or records you need from the output of this and other Actors, without writing manual filters.
- **[AI Scraper Input Generator](https://apify.com/dtrungtin/ai-scraper-input-generator)** — Turn a plain-language description of what you want to scrape into a ready-to-run input configuration, so you can set up Actor runs in seconds instead of hand-editing JSON.

Together with **Indeed Search Scraper**, they cover the full loop: generate the input, run the scrape, then search the results.

#### Compute units consumption

Keep in mind that it is much more efficient to run one longer scrape (at least one minute) than more shorter ones because of the startup time.

The average consumption is **1 Compute unit for crawling 800 templates** scraped

#### Epilogue

Thank you for trying my actor. I will be very glad for a feedback that you can send to my email `dtrungtin@gmail.com`.

# Actor input Schema

## `startUrls` (type: `array`):

URLs to start with.

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

Limit of templates to be scraped

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://vn.indeed.com/jobs?q=nakivo"
    }
  ],
  "maxItems": 10
}
```

# 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 = {
    "startUrls": [
        {
            "url": "https://vn.indeed.com/jobs?q=nakivo"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("dtrungtin/indeed-search-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 = { "startUrls": [{ "url": "https://vn.indeed.com/jobs?q=nakivo" }] }

# Run the Actor and wait for it to finish
run = client.actor("dtrungtin/indeed-search-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 '{
  "startUrls": [
    {
      "url": "https://vn.indeed.com/jobs?q=nakivo"
    }
  ]
}' |
apify call dtrungtin/indeed-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=dtrungtin/indeed-search-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ytFppSFjoLmcSKvDZ/builds/yHeLVIAT2o3KwPPrN/openapi.json