Clio App Directory Scraper

Extract structured data from the public Clio App Directory for legaltech lead generation, integration research, partner monitoring, and competitive intelligence.

The actor crawls Clio directory pages and app profile pages, then exports app names, Clio listing URLs, vendor websites, categories, descriptions, supported Clio products, availability, pricing labels, logos, screenshots, and timestamps.

What does Clio App Directory Scraper do?

Clio App Directory Scraper turns the public Clio integration marketplace into a clean dataset.

It can:

• 🧩 Crawl Clio App Directory pagination.
• 🔎 Start from category URLs or direct app listing URLs.
• 🏷️ Extract categories such as Intake, Marketing, Accounting, Text, and AI and Automation.
• 🌐 Capture vendor website links from app detail pages.
• 🖼️ Collect logo and screenshot URLs for app profiles.
• ⚖️ Export legaltech-specific details such as Clio products and regional availability.
• 📦 Save every result as a structured Apify dataset item.

Who is it for?

This actor is useful for teams that need a repeatable view of the Clio integration ecosystem.

Typical users include:

• Legaltech vendors building partnership or competitor lists.
• Law-firm operations teams comparing Clio-compatible apps.
• CRM enrichment teams adding vendor websites and categories.
• Agencies researching marketing, intake, payment, and automation vendors.
• Product managers monitoring new integrations and directory positioning.
• Data teams that need a dependable export instead of manual copy-paste.

Why use this actor?

The Clio directory is easy to browse manually, but hard to analyze at scale.

This actor helps when you need:

• A spreadsheet-ready list of Clio ecosystem vendors.
• Current app listing URLs and profile metadata.
• Category-specific lead lists.
• Vendor websites for enrichment or outreach.
• Periodic monitoring of app positioning and new integrations.
• A lightweight HTTP scraper that does not require a browser or login.

Data extracted

Each dataset item represents one Clio app listing.

Field	Description
name	App or integration name
listingUrl	Public Clio app profile URL
tagline	Short directory tagline when available
description	Detail-page benefits or meta description
categories	Directory categories shown for the app
vendorName	Vendor hostname derived from the outbound link
vendorWebsite	Vendor website or get-started URL
clioProducts	Clio products supported by the integration
availability	Region availability text
pricingText	Pricing label shown by Clio, when present
isFree	Whether the listing is labeled free
isCertified	Whether a Clio certification badge is detected
logoUrl	App logo URL
screenshots	Screenshot or video URLs from the profile
sourceUrl	Page used as the source for the result
scrapedAt	ISO timestamp for the extraction

How much does it cost to scrape Clio App Directory apps?

This actor uses pay-per-event pricing.

Current pricing is:

• Run start: $0.005
• App item: tiered per saved Clio app, with BRONZE at $0.000054693 per item and volume discounts down to $0.000015314 per item on DIAMOND

Production prices are calculated from real Apify cloud runs so users pay for successful extraction rather than idle compute.

Input

The most common input is the public directory homepage:

{
  "startUrls": [{ "url": "https://www.clio.com/app-directory/" }],
  "maxItems": 25,
  "includeDetails": true
}

Input fields

startUrls

Use Clio directory URLs, pagination URLs, category URLs, or direct app profile URLs.

Examples:

• https://www.clio.com/app-directory/
• https://www.clio.com/app-directory/page/2/
• https://www.clio.com/app-directory/case-status/
• https://www.clio.com/app-directory/?categories=automation

maxItems

Maximum number of app records to save.

Use a small value for quick testing and a larger value for a full directory crawl.

includeDetails

When enabled, the actor visits each app profile page for vendor website, categories, screenshots, products, and long descriptions.

Disable it when you only need fast directory-card data.

category

Optional text filter matched against extracted categories after detail pages are loaded.

keyword

Optional text filter matched against app name, tagline, description, vendor, and categories.

Output example

{
  "name": "Case Status",
  "listingUrl": "https://www.clio.com/app-directory/case-status/",
  "tagline": "Mobile Client Portal & Communication Platform for Law Firms",
  "categories": ["AI AND AUTOMATION", "TEXT"],
  "vendorName": "casestatus.com",
  "vendorWebsite": "https://www.casestatus.com/clio",
  "clioProducts": ["CLIO MANAGE"],
  "availability": "Available in the United States",
  "logoUrl": "https://www.clio.com/wp-content/uploads/2018/02/cs_icon.png",
  "scrapedAt": "2026-06-26T03:22:16.439Z"
}

How to run

1. Open the actor on Apify.
2. Keep the prefilled Clio directory URL or add your own Clio category/listing URLs.
3. Choose maxItems.
4. Keep includeDetails enabled for the richest data.
5. Start the run.
6. Export the dataset as JSON, CSV, Excel, or through the API.

Tips for best results

• Use includeDetails: true when you need vendor websites.
• Use direct app profile URLs for one-off enrichment.
• Use category URLs when you want a focused legaltech segment.
• Use keyword to keep only apps matching a buyer theme such as intake, payments, automation, or marketing.
• Schedule recurring runs to monitor new Clio ecosystem entries.

Integrations

You can connect the output to:

• Google Sheets for partnership research.
• Airtable for vendor tracking.
• HubSpot or Salesforce for CRM enrichment.
• Notion for legaltech competitive-intelligence notebooks.
• Clay or custom enrichment pipelines for outbound workflows.
• Webhooks for change-monitoring jobs.

API usage

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/clio-app-directory-scraper').call({
  startUrls: [{ url: 'https://www.clio.com/app-directory/' }],
  maxItems: 25,
  includeDetails: true,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')
run = client.actor('automation-lab/clio-app-directory-scraper').call(run_input={
    'startUrls': [{'url': 'https://www.clio.com/app-directory/'}],
    'maxItems': 25,
    'includeDetails': True,
})
items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)

cURL

curl -X POST 'https://api.apify.com/v2/acts/automation-lab~clio-app-directory-scraper/runs?token=YOUR_APIFY_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{"startUrls":[{"url":"https://www.clio.com/app-directory/"}],"maxItems":25,"includeDetails":true}'

MCP usage

Use this actor from Claude Desktop, Claude Code, or any MCP-compatible client through Apify MCP.

MCP tool URL:

https://mcp.apify.com/?tools=automation-lab/clio-app-directory-scraper

Claude Code setup:

$claude mcp add apify https://mcp.apify.com/?tools=automation-lab/clio-app-directory-scraper

Claude Desktop JSON config:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=automation-lab/clio-app-directory-scraper"
    }
  }
}

Example prompts:

• "Scrape the Clio App Directory and summarize vendors in the Intake category."
• "Find Clio apps with vendor websites and create a table of partnership targets."
• "Monitor the Clio directory for apps related to AI and automation."

Legality

The actor extracts publicly available Clio directory pages.

You are responsible for using the exported data lawfully and in line with applicable terms, privacy rules, and outreach regulations.

Avoid spam, excessive requests, or uses that would violate platform or data-protection requirements.

Troubleshooting

Why do some fields appear empty?

Some Clio listings do not expose every field. For example, a listing may not have a pricing label, screenshots, or a visible vendor website.

Why did my keyword return fewer results than expected?

The keyword filter is applied to extracted text. Try a broader keyword, remove the filter, or enable includeDetails so more page text is available.

Can I scrape only one app?

Yes. Put the direct Clio app listing URL in startUrls and set maxItems to 1.

FAQ

Does this actor need a Clio account?

No. It uses public directory pages and does not require login credentials.

Does it use a browser?

No. The actor is HTTP-first and parses server-rendered HTML with Cheerio.

Can I schedule it?

Yes. Schedule recurring Apify runs to monitor new Clio integrations or changes in categories and vendor links.

Can I export to CSV?

Yes. Apify datasets can be exported as CSV, JSON, Excel, XML, RSS, or HTML.

Related scrapers

Explore other automation-lab actors for marketplace, app ecosystem, company, and lead-generation workflows:

• https://apify.com/automation-lab/zapier-scraper
• https://apify.com/automation-lab/google-maps-lead-finder
• https://apify.com/automation-lab/website-contact-finder
• https://apify.com/automation-lab/company-domain-to-linkedin-url-resolver

Changelog

Initial version extracts Clio app directory listings and detail-page metadata with a lightweight Cheerio crawler.

Notes

The target site is public and currently returns server-rendered HTML, so browser fallback is not required.

Support

If a page layout changes or a field disappears, open an Apify issue with the run URL and example input.