MCP Company Researcher — AI Lead Qualification in 30 Seconds

Feed it a domain. Get back a structured JSON profile: tech stack, employee count, funding round, social handles, recent news — ready to pipe into Claude, GPT, or any MCP-compatible agent.

Built for go-to-market teams who do 50-500 company lookups per day and need to stop wasting SDR hours on manual enrichment.

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Why this exists

Every sales pipeline wastes 40-60% of SDR time on manual company research:

• Open LinkedIn → guess employee count
• Open Crunchbase → find last funding round
• Open Twitter/LinkedIn → copy social handles
• Open TechCrunch → scan last 3 news items

This actor does all four in one API call. Output is a clean JSON object structured for LLM consumption — no scraping logic, no rate-limit management, no parsing.

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What you get

{
  "domain": "stripe.com",
  "company_name": "Stripe",
  "employees": "7000-10000",
  "industry": "Payment infrastructure",
  "tech_stack": ["Ruby", "Rails", "React", "AWS", "Redis"],
  "funding": {
    "last_round": "Series I",
    "amount_usd": 6500000000,
    "date": "2023-03-15"
  },
  "socials": {
    "linkedin": "stripe",
    "twitter": "stripe",
    "github": "stripe"
  },
  "recent_news": [
    {"title": "Stripe expands to 50 new countries", "date": "2026-03-12", "source": "TechCrunch"}
  ]
}

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How to use it (Python)

from apify_client import ApifyClient
import os

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("knotless_cadence/mcp-company-researcher").call(
    run_input={"domain": "stripe.com"}
)
profile = list(client.dataset(run["defaultDatasetId"]).iterate_items())[0]
print(profile)

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How to use it in Claude / MCP

Register the actor as an MCP tool in your agent config. Claude calls it directly whenever it needs company context — no glue code.

{
  "tool_name": "company_research",
  "actor_id": "knotless_cadence/mcp-company-researcher",
  "description": "Enrich a domain with firmographic + technographic data"
}

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Common questions

Q: How is this different from Clearbit / Apollo / ZoomInfo? A: Those are CRM-focused and priced at $500+/month. This is a per-lookup API at Apify's actor pricing. No contract, no seats.

Q: Does it scrape LinkedIn? A: No. Employee estimates come from public web signals (job postings, news mentions, company site size). No auth walls crossed.

Q: What's the accuracy on funding data? A: ~85% on Series A+. Seed-stage companies with no press coverage are harder.

Q: Does it work for SMBs and local businesses? A: Yes for any company with a live website and a LinkedIn/Crunchbase footprint. Pure local businesses (under 10 employees, no online presence) will return sparse profiles.

Q: How fresh is the news data? A: Last 30 days, sorted by recency.

Q: Can I batch 1000 domains? A: Yes — pass an array {"domains": ["a.com", "b.com", ...]}. Rate-limited to Apify's concurrency rules.

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Pricing

Usage	Cost
1-100 lookups / month	Free Apify tier covers it
100-1000 / month	~$0.01 per lookup
1000+ / month	Custom PPR pricing available

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Other actors you might use

This actor pairs well with these in my store (77 more scrapers total):

• knotless_cadence/trustpilot-reviews-scraper — review harvesting (249+ runs)
• knotless_cadence/reddit-scraper-free — subreddit monitoring (72+ runs)
• knotless_cadence/domain-availability-checker — brandname research
• Full portfolio: https://apify.com/knotless_cadence

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Need something custom?

If you want a scraper tailored to your pipeline (specific data fields, specific source, specific output schema), I build custom Python scrapers.

Questions or custom work: spinov001@gmail.com | Community: t.me/scraping_ai