# Instructure discovery Scraper (`getdataforme/instructure-discovery-scraper`) Actor

The Instructure Discovery Scraper efficiently extracts data from Instructure resources for research and analysis. It offers customizable queries, proxy support, scalable performance, and versatile output formats. Ideal for market research, competitive intelligence, and academic studies.

- **URL**: https://apify.com/getdataforme/instructure-discovery-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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?

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

## Instructure Discovery Scraper

### Introduction

The Instructure Discovery Scraper is a powerful tool designed to extract valuable information from Instructure's resources, such as webinars and educational content. This actor enables users to efficiently gather data for research, analysis, and strategic decision-making.

### Features

- **Efficient Data Extraction**: Quickly scrape relevant content from Instructure's resources.
- **Customizable Queries**: Tailor your search with specific keywords to get precise results.
- **Proxy Support**: Utilize Apify's residential proxies to ensure anonymity and access restricted content.
- **High Data Quality**: Reliable and structured output for easy integration into your workflows.
- **Scalable Performance**: Handle large volumes of data with ease, thanks to robust infrastructure.
- **User-Friendly Interface**: Simple setup and execution process for seamless operation.
- **Versatile Output Formats**: Export data in JSON, CSV, or Excel formats for diverse applications.

### Input Parameters

| Parameter           | Type     | Required | Description                                                                 | Example            |
|---------------------|----------|----------|-----------------------------------------------------------------------------|--------------------|
| `searchQuery`       | String   | Yes      | Enter the Search Keywords                                                   | `"canvas"`         |
| `maxItems`          | Integer  | No       | Maximum number of items to scrape                                           | `100`              |
| `proxyConfiguration`| Object   | No       | Specifies proxy servers used by the scraper to hide its origin              | `{ "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" }` |

### Example Usage

#### Input JSON

```json
{
  "searchQuery": "canvas",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}
```

#### Output JSON

```json
[
  {
    "content_type": "On-Demand Webinar",
    "date": "Apr 22, 2026",
    "title": "New & Next: The Next Generation of Canvas",
    "url": "https://www.instructure.com/resources/webinars/new-next-showcase-next-generation-canvas-and-beyond",
    "description": "In this session, we introduced new Canvas tiers: Canvas Core, Canvas Plus, and Canvas Next, which simplify how customers access AI and other advanced capabilities...",
    "learn_more_url": "https://www.instructure.com/resources/webinars/new-next-showcase-next-generation-canvas-and-beyond",
    "search_query": "canvas",
    "page_number": 1,
    "source": "instructure",
    "scraped_at": "2026-04-27T08:24:15.076Z"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gather insights on educational trends and offerings.
- **Competitive Intelligence**: Monitor competitor strategies and content.
- **Price Monitoring**: Track pricing changes in educational services.
- **Content Aggregation**: Compile educational resources for distribution.
- **Academic Research**: Collect data for scholarly studies and publications.
- **Business Automation**: Integrate scraped data into automated workflows.

### Installation and Usage

1. Search for "Instructure Discovery Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

### Output Format

The output data is structured as a JSON array, with each object containing fields such as `content_type`, `date`, `title`, `url`, `description`, `learn_more_url`, `search_query`, `page_number`, `source`, and `scraped_at`. This format ensures easy parsing and integration into various applications.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: <https://getdataforme.com/contact/>

We're here to help you get the most out of this Actor!

# Actor input Schema

## `searchQuery` (type: `string`):

Enter the Search Keywords

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

Maximum number of items to scrape.

## `proxyConfiguration` (type: `object`):

Specifies proxy servers that will be used by the scraper in order to hide its origin.

## Actor input object example

```json
{
  "searchQuery": "canvas",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# 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 = {
    "searchQuery": "canvas",
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/instructure-discovery-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 = {
    "searchQuery": "canvas",
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "US",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/instructure-discovery-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 '{
  "searchQuery": "canvas",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call getdataforme/instructure-discovery-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/instructure-discovery-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/GpaMOierOkDcnfigp/builds/b5Bb68BOhNO8GbCwM/openapi.json