Failory Startups Scraper

Extract structured startup profiles from public Failory startup directory pages.

Use this actor to collect startup names, websites, industries, descriptions, founders, funding snippets, headquarters, investor names, and source-page metadata from country and category lists such as United States startups, SaaS startups, fintech startups, and AI startups.

What does Failory Startups Scraper do?

Failory Startups Scraper turns public Failory directory pages into clean dataset rows.

It fetches Failory pages over HTTP, parses the startup cards and company detail tables, and exports one row per startup profile.

Typical rows include:

• 🚀 Startup name
• 🔗 Website URL
• 🧭 Failory source URL
• 🏷️ Industries and category badges
• 📝 Company description
• 📍 Headquarters, city, and country
• 👥 Founders
• 💰 Funding amount and latest funding status
• 🏦 Top investors
• 🖼️ Logo URL
• ⏱️ Scrape timestamp

Who is it for?

This actor is useful for teams that need startup intelligence without manual copy-paste.

• 🧲 Lead generation teams building startup prospect lists
• 💼 B2B sales teams targeting funded companies
• 📊 Market researchers mapping startup categories
• 🏦 Investors and accelerators screening startup ecosystems
• 🧪 Product marketers researching competitor categories
• 🧰 Data teams feeding startup records into CRMs or BI tools

Why use this actor?

Failory pages are useful but manual browsing is slow.

This actor gives you structured, exportable records that can be filtered, enriched, deduplicated, and joined with other datasets.

Benefits:

• No browser automation needed for normal runs
• Public HTTP pages only
• Country and category page support
• Source metadata included for traceability
• One dataset row per startup
• Works with Apify datasets, webhooks, APIs, and integrations

What Failory pages can I scrape?

Use public URLs under https://www.failory.com/startups.

Examples:

• https://www.failory.com/startups/united-states
• https://www.failory.com/startups/saas
• https://www.failory.com/startups/artificial-intelligence
• https://www.failory.com/startups/fintech
• https://www.failory.com/startups/united-kingdom

You can also provide slugs like united-states, saas, or artificial-intelligence.

Data table

Field	Description
startupName	Startup or company name
rank	Rank/order on the Failory page
websiteUrl	External website linked by Failory
sourceUrl	Failory page where the startup was found
sourcePageTitle	Page title or heading
sourcePageSlug	Failory slug after /startups/
sourcePageType	Country, category, directory, or unknown
sourcePageLabel	Human-readable page label
description	Startup description paragraph
industries	Array of Failory badges
industryText	Comma-separated industries for CSV tools
headquarters	Headquarters text
city	Parsed city from headquarters
country	Parsed country from headquarters
yearFounded	Founded year
founders	Founder names
fundingAmount	Funding amount text
startupSize	Size bucket from Failory
lastFundingStatus	Latest funding stage/status
topInvestors	Investor names
logoUrl	Logo image URL
scrapedAt	ISO timestamp

How much does it cost to scrape Failory startup profiles?

The default pay-per-event setup is designed for affordable startup lead generation.

Pricing uses:

• A small run-start event
• A per-profile result event for each startup saved

At the BRONZE price, 1,000 startup profiles cost $0.50 plus the small start fee. Tiered discounts apply on higher Apify plans.

How to run it

1. Open the actor on Apify.
2. Add one or more Failory startup directory URLs.
3. Optionally add slugs such as saas or united-states.
4. Set maxItems to the number of startup profiles you need.
5. Set maxPages if you start from a broad directory page.
6. Click Start.
7. Export the dataset as JSON, CSV, Excel, XML, RSS, or HTML.

Input example

{
  "startUrls": [
    { "url": "https://www.failory.com/startups/united-states" },
    { "url": "https://www.failory.com/startups/saas" }
  ],
  "slugs": ["artificial-intelligence"],
  "maxItems": 100,
  "maxPages": 5
}

Output example

{
  "startupName": "Perplexity",
  "rank": 2,
  "websiteUrl": "https://www.perplexity.ai/?ref=failory",
  "sourceUrl": "https://www.failory.com/startups/united-states",
  "sourcePageType": "country",
  "sourcePageLabel": "United States",
  "description": "Perplexity has developed an AI-powered answer engine...",
  "industries": ["AI", "Chatbot", "Generative AI"],
  "headquarters": "San Francisco, California, United States",
  "country": "United States",
  "yearFounded": 2022,
  "fundingAmount": "$1.5B",
  "lastFundingStatus": "Venture Round"
}

Tips for best results

• Start with one or two specific pages before scraping many categories.
• Use maxItems to control dataset size and cost.
• Use sourcePageLabel to group records by country or category.
• Deduplicate by startupName and websiteUrl when combining pages.
• Use industryText for spreadsheet filters.
• Use industries when processing JSON programmatically.

Integrations

You can connect the dataset to common workflows:

• 📇 Send startup records to a CRM
• 📬 Trigger outreach workflows with Apify webhooks
• 📊 Load startup datasets into BigQuery, Snowflake, or Sheets
• 🔎 Enrich websites with separate email or SEO actors
• 🧠 Feed profiles into research assistants or scoring models

API usage with Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/failory-startups-scraper').call({
  startUrls: [{ url: 'https://www.failory.com/startups/saas' }],
  maxItems: 50,
  maxPages: 2,
});

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

API usage with Python

from apify_client import ApifyClient
import os

client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('automation-lab/failory-startups-scraper').call(run_input={
    'startUrls': [{'url': 'https://www.failory.com/startups/united-states'}],
    'maxItems': 50,
    'maxPages': 2,
})
items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)

API usage with cURL

curl -X POST "https://api.apify.com/v2/acts/automation-lab~failory-startups-scraper/runs?token=$APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{"startUrls":[{"url":"https://www.failory.com/startups/saas"}],"maxItems":50,"maxPages":2}'

MCP integration

Use the actor from MCP-compatible tools through Apify MCP Server.

MCP URL:

https://mcp.apify.com/?tools=automation-lab/failory-startups-scraper

Add it from Claude Code with a command like:

$claude mcp add apify-failory-startups "https://mcp.apify.com/?tools=automation-lab/failory-startups-scraper"

JSON configuration example:

{
  "mcpServers": {
    "apify-failory-startups": {
      "url": "https://mcp.apify.com/?tools=automation-lab/failory-startups-scraper"
    }
  }
}

Example prompts:

• "Use the Failory Startups Scraper MCP tool to scrape 50 SaaS startups and summarize the most common industries."
• "Run automation-lab/failory-startups-scraper for United States startups and format the top funded companies as a table."
• "Find Failory AI startups with the MCP tool and identify founders and investors mentioned in the data."

Claude Desktop MCP setup

Add Apify MCP Server to Claude Desktop and include this actor in the tools query.

Use your Apify token for authentication. Then ask Claude to run automation-lab/failory-startups-scraper with a Failory URL and a small maxItems value.

Claude Code MCP setup

Configure the Apify MCP endpoint with:

https://mcp.apify.com/?tools=automation-lab/failory-startups-scraper

Add it from Claude Code with a command like:

$claude mcp add apify-failory-startups "https://mcp.apify.com/?tools=automation-lab/failory-startups-scraper"

You can also use a JSON-style MCP server configuration:

{
  "mcpServers": {
    "apify-failory-startups": {
      "url": "https://mcp.apify.com/?tools=automation-lab/failory-startups-scraper"
    }
  }
}

Then call the actor from your coding workflow to create fixtures, update prospect files, or refresh market datasets.

Example MCP prompts:

• "Use the Failory Startups Scraper tool to get 20 SaaS startups and save the names and websites as CSV."
• "Run the Failory actor for united-states with maxItems 10 and summarize funding stages."
• "Collect AI startup profiles from Failory and return founder and investor columns."

Data quality notes

The actor extracts what Failory publishes in the page HTML.

Some records may not include every field. For example, some pages may omit funding amount, investor names, or founder names. Empty values are exported as null or empty arrays depending on field type.

Limitations

• It does not log in to Failory.
• It does not bypass private data walls.
• It does not infer emails or phone numbers.
• It does not guarantee that Failory's public data is current.
• It extracts startup profiles from list pages, not unrelated blog posts.

FAQ

Can I scrape Failory without a login?

Yes. This actor only uses public Failory startup directory pages that are visible without an account.

Does it extract emails or phone numbers?

No. Failory startup directory pages do not consistently publish emails or phone numbers, so the actor does not invent or infer them.

Why do some pages return only a small number of records?

Some Failory pages expose a curated top list in the HTML. The actor exports the records available in that public page markup.

Can I start from the main /startups page?

Yes. The actor can discover country and category links from the main directory page. Increase maxPages if you want it to follow more discovered pages.

Troubleshooting

If you get zero records, check that your URL is a Failory startup directory page.

Good URL pattern:

https://www.failory.com/startups/<country-or-category-slug>

If a broad /startups page returns fewer records than expected, increase maxPages so the actor can follow more discovered directory links.

Legality

This actor is designed to scrape publicly available Failory pages. It does not access private accounts or restricted data. You are responsible for using the exported data in accordance with applicable laws, Failory's terms, and privacy rules that apply to your use case.

Related scrapers

Other automation-lab actors that may complement this workflow:

• https://apify.com/automation-lab/ycombinator-scraper
• https://apify.com/automation-lab/linktree-profile-scraper
• https://apify.com/automation-lab/sitejabber-reviews-scraper
• https://apify.com/automation-lab/npi-registry-provider-scraper

Changelog

0.1

Initial version with HTTP extraction for public Failory startup directory pages.

Support

If a Failory page layout changes or a specific startup category stops parsing, open an Apify issue with the input URL and run ID so we can reproduce it quickly.