Company Financials, Valuation & M&A Scraper (Craft.co) avatar

Company Financials, Valuation & M&A Scraper (Craft.co)

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from $4.00 / 1,000 results

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Company Financials, Valuation & M&A Scraper (Craft.co)

Company Financials, Valuation & M&A Scraper (Craft.co)

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.

Pricing

from $4.00 / 1,000 results

Rating

5.0

(2)

Developer

Berkan Kaplan

Berkan Kaplan

Maintained by Community

Actor stats

2

Bookmarked

23

Total users

7

Monthly active users

3 days ago

Last modified

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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

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 capmaxResultsPerQuery limits rows per query.
  3. Run and export — get a clean dataset as JSON, CSV or Excel.

📥 Input

{"queries":["undefined"],"maxResultsPerQuery":50}
FieldTypeDescription
queriesarrayCompany names.
maxResultsPerQueryintegerCaps rows per query.
maxConcurrencyintegerHow many queries to fetch at once.
includeRawbooleanAttach 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).

FieldDescription
urlUrl
slugSlug
nameName
descriptionDescription
websiteWebsite
crunchbaseCrunchbase
foundedYearFounded Year
ownershipOwnership
stockTickerStock Ticker
headquartersHeadquarters
headquartersCityHeadquarters City
headquartersStateHeadquarters State
headquartersCountryHeadquarters Country
employeesRegistered employee count
employeeHistoryEmployee History
revenueRevenue
revenueFormattedRevenue Formatted
revenueExactRevenue Exact
revenueCurrencyRevenue Currency
netIncomeNet Income
financialPeriodFinancial Period
incomeStatementsIncome Statements
valuationValuation
valuationFormattedValuation Formatted
valuationExactValuation Exact
valuationDateValuation Date
isStaleValuationIs Stale Valuation
marketCapMarket Cap
marketCapFormattedMarket Cap Formatted
marketCapExactMarket Cap Exact
marketCapDateMarket Cap Date
sharePriceShare Price
sharePriceDateShare Price Date
totalFundingTotal Funding
totalFundingFormattedTotal Funding Formatted
totalFundingExactTotal Funding Exact
socialSocial
industriesIndustries
industriesTextIndustries Text
acquisitionsAcquisitions
executivesExecutives
competitorsCompetitors
officesOffices

💼 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

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

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.

❓ 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.

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

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.