# Company Financials, Valuation & M\&A Scraper (Craft.co) (`foxlabs/craft-intelligence`) Actor

Scrape company financials from Craft.co: revenue, valuation, market cap, M\&A, executives & competitors as JSON. Low-cost Crunchbase / PitchBook alternative for VC/PE deal sourcing & M\&A research.

- **URL**: https://apify.com/foxlabs/craft-intelligence.md
- **Developed by:** [Berkan Kaplan](https://apify.com/foxlabs) (community)
- **Categories:** Business, Lead generation
- **Stats:** 23 total users, 7 monthly users, 74.4% runs succeeded, 2 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $4.00 / 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

## Company Intelligence — Craft 🏢

🎉 Turn Craft into clean, structured company intelligence — no login, no API key, one row per company, with firmographics, operating metrics and links.
Built for competitive intelligence, procurement and B2B research.

### 🔍 What is the Company Intelligence — and when should you use it?

Give this actor company names and it returns matching companies from Craft company-intelligence profiles — as clean, deduplicated rows you can filter, export or feed to an AI agent. Every run queries the source live, so the data is as fresh as the registry itself.

**Use it when you need:** a company company list for outreach; formation / status monitoring; or a canonical registry record for KYB and due diligence.

**Use something else when:** you need the official registry filing — this is an intelligence profile, not a government registry.

### 🤖 Use with AI agents

**Already on the Apify MCP server?** Ask for this Actor by name: `foxlabs/craft-intelligence`.

**Your agent can pay for its own runs.** This Actor is pay-per-event with agentic payments, so an agent can discover it, run it and settle the bill over **x402 (USDC on Base)** or **Skyfire** — no Apify account or API token of its own. Billing is the same either way: per delivered record, never for errors.

Otherwise paste this into Claude, ChatGPT, Cursor or any MCP-enabled assistant:

```
I want to pull company company records using the Apify Actor `foxlabs/craft-intelligence`.
Input: `queries` is a list of company names. `maxResultsPerQuery` caps rows per query.
Start with: {"queries":["undefined"],"maxResultsPerQuery":50}
Ask me what to look up, run the Actor, then summarise the rows as a table.
```

The machine-readable API, MCP config and OpenAPI definition live at `apify.com/foxlabs/craft-intelligence.md`.

### 📋 Overview

Everything you need to turn Craft company-intelligence profiles into clean, structured data — in one actor, with no login, cookies or API key.

**Why teams pick this actor:**

- ✅ **Whole dataset, one call** — name or ID in, matching companies out.
- 🧹 **No empty-promise columns** — only fields this registry actually fills; degenerate columns are removed.
- 🔗 **Stable identifiers** — every row carries the source's own IDs, ready to join across runs and to other Fox Labs actors.
- 💰 **Pay only for results** — per-row pricing, empty/failed lookups never billed.
- 🤖 **Agent-ready** — MCP + x402 agentic payments.

### ✨ Features

- 🔍 **Name or ID lookup** — relevance-ranked name search or exact registry-ID lookup.
- 🏢 **Full entity profile** — status, legal form, formation date, address and the registry’s own contact fields.
- 🧹 **Clean schema** — deduplicated camelCase rows, ready for CSV/Excel/JSON.

### 🎬 Quick Start

```bash
curl -X POST "https://api.apify.com/v2/acts/foxlabs~craft-intelligence/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries":["undefined"],"maxResultsPerQuery":50}'
```

### 🚀 Getting Started (3 steps)

1. **Choose your targets** — company names.
2. **Set the cap** — `maxResultsPerQuery` limits rows per query.
3. **Run and export** — get a clean dataset as JSON, CSV or Excel.

### 📥 Input

```json
{"queries":["undefined"],"maxResultsPerQuery":50}
```

| Field | Type | Description |
|---|---|---|
| `queries` | array | Company names. |
| `maxResultsPerQuery` | integer | Caps rows per query. |
| `maxConcurrency` | integer | How many queries to fetch at once. |
| `includeRaw` | boolean | Attach the source’s untouched record under `raw`. |

### 📤 Output

One row per company, saved to the dataset. Every row also carries `query`, `scrapedAt`, and — when a lookup fails — an `error` explaining why (never silently dropped, never billed).

| Field | Description |
|---|---|
| `url` | Url |
| `slug` | Slug |
| `name` | Name |
| `description` | Description |
| `website` | Website |
| `crunchbase` | Crunchbase |
| `foundedYear` | Founded Year |
| `ownership` | Ownership |
| `stockTicker` | Stock Ticker |
| `headquarters` | Headquarters |
| `headquartersCity` | Headquarters City |
| `headquartersState` | Headquarters State |
| `headquartersCountry` | Headquarters Country |
| `employees` | Registered employee count |
| `employeeHistory` | Employee History |
| `revenue` | Revenue |
| `revenueFormatted` | Revenue Formatted |
| `revenueExact` | Revenue Exact |
| `revenueCurrency` | Revenue Currency |
| `netIncome` | Net Income |
| `financialPeriod` | Financial Period |
| `incomeStatements` | Income Statements |
| `valuation` | Valuation |
| `valuationFormatted` | Valuation Formatted |
| `valuationExact` | Valuation Exact |
| `valuationDate` | Valuation Date |
| `isStaleValuation` | Is Stale Valuation |
| `marketCap` | Market Cap |
| `marketCapFormatted` | Market Cap Formatted |
| `marketCapExact` | Market Cap Exact |
| `marketCapDate` | Market Cap Date |
| `sharePrice` | Share Price |
| `sharePriceDate` | Share Price Date |
| `totalFunding` | Total Funding |
| `totalFundingFormatted` | Total Funding Formatted |
| `totalFundingExact` | Total Funding Exact |
| `social` | Social |
| `industries` | Industries |
| `industriesText` | Industries Text |
| `acquisitions` | Acquisitions |
| `executives` | Executives |
| `competitors` | Competitors |
| `offices` | Offices |

### 💼 Use cases

**1. Competitive intelligence** — profile competitors and their metrics.
*Input:* company names. *Output:* firmographics + metrics. *Use:* a competitor brief.

**2. Supplier research** — research suppliers before engaging.
*Input:* company names. *Output:* company profiles. *Use:* a vendor shortlist.

**3. Account research** — brief sales on target accounts.
*Input:* company names. *Output:* company intelligence. *Use:* an account one-pager.

### 🔗 Integration

**JavaScript / Node.js**

```javascript
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('foxlabs/craft-intelligence').call({"queries":["undefined"],"maxResultsPerQuery":50});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);
```

**Python**

```python
from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('foxlabs/craft-intelligence').call(run_input={"queries":["undefined"],"maxResultsPerQuery":50})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)
```

**Automation (n8n / Zapier / Make):** schedule or webhook → HTTP request to the actor API with your `queries` → handle the JSON dataset → push to a sheet, CRM or dashboard.

### 📊 Pricing

Pay-per-event: **per delivered record**. Empty or failed lookups are never billed. [View current pricing.](https://apify.com/foxlabs/craft-intelligence)

### ❓ FAQ

**Do I need an account, login or API key?** No. This reads Craft company-intelligence profiles.

**What do I search by?** Company names.

**How current is the data?** Every run queries the source live, so results are as fresh as the registry.

**What does each profile include?** Firmographics, operating and company-intelligence attributes and links as published on Craft.

**Can I export to CSV / Excel / JSON?** Yes — directly from the Apify dataset.

### 🐛 Troubleshooting

- **Fewer rows than expected** — raise `maxResultsPerQuery`, or refine the name.
- **A name returns an unexpected entity** — it matched a similar registered name; search the exact registry ID.
- **No rows for a name** — try the entity’s exact legal name or its registry ID.

### ⚖️ Is it legal to scrape this data?

This actor reads public company-intelligence profiles from Craft. Results can still contain personal data (e.g. a person’s name); personal data is protected by the GDPR and similar laws, so only process it with a legitimate basis. See Apify’s blog post on the legality of web scraping.

### 🤝 Support & contact

- 🌐 **Website:** [data.foxlabs.com.tr](https://data.foxlabs.com.tr)
- 📧 **Email:** info@foxlabs.com.tr
- 🐛 **Issues:** open a ticket in the Actor’s **Issues** tab
- 🧰 **More clean B2B data actors:** [Fox Labs on Apify](https://apify.com/foxlabs)

### Changelog

#### 0.4 — 2026-09-07

- **Enabled AI-agent payments (x402) + rebuilt the README to the full standard** (What-is / when, AI-agents + x402 agentic payments + MCP, Overview, Features, Use cases, Integration, FAQ, Troubleshooting, Support & contact).

#### 0.0

- Initial release: data from Craft company-intelligence profiles by name or registry ID.

# Actor input Schema

## `preset` (type: `string`):

Auto-fills well-known company anchors, then (with Discovery depth > 0) follows Craft.co's competitor graph. NOTE: the graph spans the broader tech/software space — a 'B2B Tech & Software' run also surfaces adjacent cloud, infra, dev-tools and large software vendors, not only narrow SaaS. A built-in blocklist drops pure hardware/semiconductor/telecom/electronics. Or leave blank and paste your own companies below.

## `companyNames` (type: `array`):

Just type company names — one per line. We turn each into its Craft.co page automatically (e.g. `Stripe` → craft.co/stripe). Easiest way to scrape a specific list — works great for companies whose name is their slug. ⚠ A bare name maps to craft.co/<name>; if several companies share a name it can land on the wrong one (e.g. `Notion` → a small unrelated company; the well-known one is `notion-labs`). When in doubt, paste the exact Craft.co URL in the field below instead.

## `companyUrls` (type: `array`):

Use this when a name doesn't resolve, or to upload a .txt/.csv of many companies. Full URLs only here, e.g. `https://craft.co/stripe`.

## `includeCompetitors` (type: `boolean`):

Each company's competitor list — name, Craft.co URL and revenue (competitor revenue is often null on Craft.co).

## `includeAcquisitions` (type: `boolean`):

Acquisition / subsidiary history — company, date, amount and Craft.co URL (date & amount are usually null on Craft.co).

## `includeLeadership` (type: `boolean`):

Executive team — name + title.

## `maxResults` (type: `integer`):

Hard cap on companies returned (also your cost cap). PPE $4/1K → 100 ≈ $0.40.

## `maxConcurrency` (type: `integer`):

Craft.co rate-limits header-bare requests; keep concurrency moderate (5-10). Higher raises the 403 rate and wastes compute. Max 20.

## `maxDepth` (type: `integer`):

How far to follow Craft.co's competitor graph for a live, broad pool (not a static anchor list):
• 0 = only the companies you list / preset anchors — no discovery
• 1 = + each company's direct competitors
• 2 = + competitors-of-competitors (DEFAULT for presets — densest live sweep)
• 3 = one hop further (market-wide)
• 4 = exhaustive crawl
With a preset, discovery is ON by default (depth 2) so every run reflects today's market. Set 0 to scrape only an exact company list. 'Maximum companies' is always your hard cost cap (raise it for more density).

## `industryKeywords` (type: `array`):

Only applied when depth > 0. Discovered companies whose industry tags match none of these keywords are skipped — this stops drift into unrelated sectors (e.g. fintech → e-commerce). Presets fill this automatically.

## `industryBlocklist` (type: `array`):

Only applied when depth > 0. Discovered companies whose industry tags match ANY of these keywords are dropped — even if they also match the whitelist. Keeps unwanted sectors (e.g. hardware, telecom, semiconductors) out of a competitor sweep. Merged with the preset's built-in blocklist.

## `enrichFromOwler` (type: `boolean`):

OFF by default. When ON, companies whose revenue/employees are missing on Craft.co are looked up on Owler.com and backfilled ONLY when Owler's domain matches the company's website (so a wrong-name match like 'linear' → Linear Technology is rejected, never merged). Backfilled values are tagged `revenueSource:"owler"` + `revenueIsEstimate:true` and a verified `owlerUrl` is added. Note: this fetches a second page per missing-data company, so it roughly doubles cost/time for those rows.

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

Craft.co blocks datacenter IPs — RESIDENTIAL proxy is required and set by default (measured 2026-07-28: datacenter 403s on every request, residential returns full profiles).

## Actor input object example

```json
{
  "preset": "",
  "companyNames": [
    "Stripe",
    "Airbnb",
    "Notion"
  ],
  "companyUrls": [],
  "includeCompetitors": true,
  "includeAcquisitions": true,
  "includeLeadership": true,
  "maxResults": 100,
  "maxConcurrency": 5,
  "maxDepth": 2,
  "industryKeywords": [],
  "industryBlocklist": [],
  "enrichFromOwler": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `dataset` (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 = {
    "companyNames": [
        "Stripe",
        "Airbnb",
        "Notion"
    ],
    "companyUrls": [],
    "maxResults": 100,
    "maxConcurrency": 5,
    "maxDepth": 2,
    "industryKeywords": [],
    "industryBlocklist": [],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("foxlabs/craft-intelligence").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 = {
    "companyNames": [
        "Stripe",
        "Airbnb",
        "Notion",
    ],
    "companyUrls": [],
    "maxResults": 100,
    "maxConcurrency": 5,
    "maxDepth": 2,
    "industryKeywords": [],
    "industryBlocklist": [],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("foxlabs/craft-intelligence").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 '{
  "companyNames": [
    "Stripe",
    "Airbnb",
    "Notion"
  ],
  "companyUrls": [],
  "maxResults": 100,
  "maxConcurrency": 5,
  "maxDepth": 2,
  "industryKeywords": [],
  "industryBlocklist": [],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call foxlabs/craft-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,foxlabs/craft-intelligence"
        }
    }
}

```

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/zeDIjCsRdWfBbrf0A/builds/T1awSIqEQTUTdyRLy/openapi.json