Zapier Templates and Apps Scraper

Extract Zapier templates, workflow steps, app dependencies, categories, and app-directory records as structured JSON. Use the data for automation research, integration planning, content discovery, and competitive analysis.

The Actor reads Zapier's server-rendered data directly. It does not require a browser, and direct requests normally work without paid proxies.

Features

• Scrape Zapier's template library and template category pages
• Analyze individual Zapier template detail pages
• Extract nested workflows, steps, actions, and app identifiers
• Detect templates that use AI-related tools or language
• Scrape Zapier's app directory and app category pages
• Filter listing records by keyword
• Export JSON, CSV, Excel, XML, RSS, or HTML through Apify datasets
• Use optional Apify proxies when your network requires them

Use Cases

• Find high-demand Zapier automation ideas
• Compare Zapier templates with n8n, Make, or other automation ecosystems
• Prioritize SaaS integrations using app-directory and workflow data
• Research AI automation patterns and common app combinations
• Build market reports, searchable catalogs, or recommendation systems
• Discover topics for Zapier tutorials and implementation services

Input

Field	Type	Default	Description
startUrls	array	Zapier templates	Template listings, template details, app directory, or app category URLs
maxItems	integer	10	Maximum records to save; 0 saves every record available on the supplied pages
includeDetails	boolean	true	Open templates and extract workflow steps, apps, dates, and AI signals
keyword	string	empty	Filter by title, description, category, or template type
concurrency	integer	1	Parallel detail requests, from 1 to 10
proxyConfiguration	object	disabled	Optional Apify proxy configuration

Example input: template research

{
  "startUrls": [
    { "url": "https://zapier.com/templates" }
  ],
  "maxItems": 25,
  "includeDetails": true,
  "keyword": "AI",
  "concurrency": 1
}

Example input: app directory

{
  "startUrls": [
    { "url": "https://zapier.com/apps" },
    { "url": "https://zapier.com/apps/categories/artificial-intelligence" }
  ],
  "maxItems": 40,
  "includeDetails": false
}

Output

Each dataset item has record_type set to template or app.

Template record

{
  "record_type": "template",
  "template_id": "lqLYHjWWPbjjuOu55D2gZ",
  "title": "Manage FAQs and requests from Slack with AI",
  "description": "Transform requests into an intake process and a growing knowledge base.",
  "category": "Tickets & incidents",
  "template_type": "Multi-product solution",
  "url": "https://zapier.com/templates/details/helpdesk-automation-template-slack-clickup",
  "workflow_count": 11,
  "step_count": 69,
  "app_count": 10,
  "apps": ["SlackCLIAPI@1.14.9", "AICLIAPI@3.1.12"],
  "uses_ai": true,
  "workflows": [
    {
      "id": "_ZAP_1",
      "name": null,
      "steps": [
        {
          "id": "_GEN_1",
          "title": "New message posted to channel",
          "type": "read",
          "action": "channel_message",
          "app": "SlackCLIAPI@1.14.9"
        }
      ]
    }
  ],
  "scraped_at": "2026-08-29T12:00:00.000Z"
}

App record

{
  "record_type": "app",
  "app_id": "0d71fb90-f233-4ce0-bdb1-3a2c887dfadf",
  "slug": "google-sheets",
  "name": "Google Sheets",
  "description": "Create, edit, and share spreadsheets with Google Sheets.",
  "partner_tier": "PLATINUM",
  "is_premium": false,
  "is_beta": false,
  "url": "https://zapier.com/apps/google-sheets/integrations",
  "scraped_at": "2026-08-29T12:00:00.000Z"
}

Results are available in the run's default dataset. The STATS key in the default key-value store contains record counts and any non-fatal detail request errors.

How to Run

1. Open the Actor in Apify Console.
2. Add one or more supported Zapier URLs.
3. Choose the result limit and whether to extract workflow details.
4. Click Start.
5. Open Dataset to inspect or download the records.

Python API

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("scraper_guru/zapier-template-analyzer").call(run_input={
    "startUrls": [{"url": "https://zapier.com/templates"}],
    "maxItems": 10,
    "includeDetails": True,
})

items = client.dataset(run["defaultDatasetId"]).list_items().items

JavaScript API

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('scraper_guru/zapier-template-analyzer').call({
    startUrls: [{ url: 'https://zapier.com/apps' }],
    maxItems: 20,
    includeDetails: false,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();

Performance and Cost

The Actor uses HTTP requests instead of a headless browser, reducing startup time and memory usage. Listing-only runs are fastest. Deep template extraction makes one additional request per template and returns substantially richer workflow data.

Apify platform usage depends on run duration, memory, and any optional proxy traffic. Start with a small maxItems value when testing a new input.

FAQ

Which Zapier URLs are supported?

Use /templates, template category URLs, /templates/details/..., /apps, and /apps/categories/... URLs on zapier.com.

Do I need residential proxies?

Usually no. The Actor defaults to direct HTTP requests. Configure an Apify proxy only if direct requests are restricted in your environment.

What does deep extraction add?

With includeDetails enabled, template records include nested workflow steps, app identifiers, workflow and step counts, AI detection, descriptions, and source dates when Zapier exposes them.

Why can an app-directory run return fewer items than maxItems?

Zapier's server-rendered app page exposes a finite page of app records. maxItems is a ceiling, not a guarantee.

Can I scrape all visible templates?

Set maxItems to 0. For routine monitoring, smaller scheduled runs are more efficient.

Is this Actor affiliated with Zapier?

No. Zapier is a trademark of its respective owner. Use the Actor responsibly and follow applicable terms and laws.

Support

For custom automation datasets, integrations, or scraper development, contact mustaphaliaichi@gmail.com or visit MuLIAICHI on GitHub.