Dealroom Power Law Company Profiles Scraper

Export startup and scale-up intelligence from Dealroom’s anonymous public Power Law index. Filter more than 9,000 indexed companies by sector, country, tier, founding year, valuation, or profile URL. Optionally enrich selected companies from their public dealroom.co profile pages.

The Actor uses direct HTTP requests—no login, browser, or proxy is required. It intentionally does not access locked data from app.dealroom.co.

What does this Dealroom scraper do?

The Actor downloads Dealroom’s public Power Law index once per run, validates its structure, applies filters locally, and saves normalized company records to the default dataset.

You can use it to:

• build startup and scale-up market maps;
• refresh CRM company lists;
• compare valuation cohorts;
• find companies by sector, country, or Power Law tier;
• collect public IPO and exit labels;
• enrich selected profiles with public KPI ranges and investor groups;
• monitor changes by scheduling repeat runs and comparing datasets.

Optional enrichment adds only information rendered on anonymous public profile pages. Ranges such as $10–50B remain ranges; the Actor does not invent or unlock exact premium values.

Who is it for?

• VC and PE analysts building sector, geography, and valuation cohorts.
• Startup scouts finding companies that match an investment thesis.
• Corporate development teams researching competitors, acquisitions, and market structure.
• B2B sales teams preparing targeted account lists for CRM import.
• Market researchers tracking public company, talent, footprint, and sentiment signals.
• Data teams feeding Dealroom’s public index into warehouses, spreadsheets, or BI tools.

Choose this Actor when the public Power Law company universe is the right source. It is not a replacement for a licensed Dealroom account or the locked app.dealroom.co product.

Why use this Actor?

• HTTP-first: no browser overhead or browser-level anti-bot complexity.
• Large public universe: the observed index contains 9,052 company records.
• Local filtering: one index request supports multiple filters efficiently.
• Precise targeting: pass Dealroom company profile URLs for a bounded company list.
• Optional enrichment: avoid profile requests when index fields are enough.
• Typed output: stable field names for datasets, APIs, and integrations.
• Transparent gaps: unavailable profile enrichment is marked rather than silently fabricated.
• Conservative requests: profile enrichment concurrency defaults to 3 and is capped at 8.

What data can you extract?

Field	Meaning
name, slug	Company identity in Dealroom
industries	Detailed industry labels from the index
headquarters, country	Public headquarters location
sector	Simplified Dealroom sector
foundedYear	Founding year
valuationUsd	Numeric valuation from the public index
valuationLabel	Compact displayed valuation such as $13B
tier	Power Law tier such as Unicorn or Decacorn
exitStatus	Public IPO or exit label
logoUrl	Public company logo URL
profileUrl	Public dealroom.co company profile
publishedLocally	Published-locally flag reported by the index
description	Public JSON-LD description when enriched
valuationRange	Public profile valuation range
valuationDate	Caption or date attached to valuation
revenueRange	Public profile revenue range
headcountRange	Public profile team-size range
investorsByStage	Public investor names grouped by entry stage
ownershipSummary	Text from the public ownership section
alumniSummary	Text from the public company-mafia section
footprintSummary	Text from the public global-footprint section
talentSummary	Text from the public talent-graph section
patentSummary	Text from the public patent section
dealsSummary	Text from public investments and acquisitions
sentimentSummary	Text from the public market-sentiment section
enrichmentStatus	not_requested, enriched, or unavailable
sourceGeneratedAt	Timestamp reported by the source index
scrapedAt	Timestamp when this Actor produced the record

Fields may be null when Dealroom does not publish the corresponding value. Section summaries are normalized public text and are capped to keep records practical.

Getting started

1. Open the Actor input page.
2. Leave company URLs empty to search the full public Power Law index.
3. Add country, sector, tier, year, valuation, or text filters.
4. Set maxItems to the maximum records you need.
5. Enable enrichProfiles only when public profile details are useful.
6. Start the run.
7. Export the dataset as JSON, CSV, Excel, XML, or another supported format.

A small index-only run is the fastest way to test a new filter combination.

Input parameters

Parameter	Type	Default	Description
startUrls	array	empty	Dealroom company profile URLs or slugs
searchTerms	string array	[]	Every term must match identity, industry, location, sector, or tier text
countries	string array	[]	Exact country names, case-insensitive
sectors	string array	[]	Exact simplified sectors, case-insensitive
tiers	string array	[]	Exact Power Law tiers, case-insensitive
foundedFrom	integer	unset	Earliest founding year
foundedTo	integer	unset	Latest founding year
valuationMinUsd	integer	unset	Minimum index valuation in USD
valuationMaxUsd	integer	unset	Maximum index valuation in USD
enrichProfiles	boolean	false	Fetch public company profile pages
maxItems	integer	100	Maximum saved companies, up to 9,052
profileConcurrency	integer	3	Concurrent profile requests, from 1 to 8

All filters also apply to companies supplied through startUrls. Unknown URLs are reported in the log and are not emitted as made-up records. Duplicate profile URLs fail validation to prevent duplicate output.

Example: search for US AI unicorns

{
  "countries": ["United States"],
  "sectors": ["AI"],
  "tiers": ["Unicorn"],
  "maxItems": 100
}

Example: enrich one public profile

{
  "startUrls": [
    { "url": "https://dealroom.co/companies/openai" }
  ],
  "enrichProfiles": true,
  "maxItems": 1
}

Output example

A current enriched profile record has this shape:

{
  "name": "OpenAI",
  "slug": "openai",
  "industries": ["Enterprise Software"],
  "headquarters": "San Francisco, United States",
  "country": "United States",
  "sector": "AI",
  "foundedYear": 2015,
  "valuationUsd": 852000000000,
  "valuationLabel": "$852B",
  "tier": "Centicorn",
  "exitStatus": null,
  "profileUrl": "https://dealroom.co/companies/openai",
  "description": "Maker of ChatGPT. AI research and deployment focused on AGI and generative models",
  "valuationRange": "$500B–1T",
  "valuationDate": "Latest valuation · Mar/2026",
  "revenueRange": "$10–50B",
  "headcountRange": "5–10k",
  "investorsByStage": [
    { "stage": "Seed", "investors": ["Khosla Ventures", "Y Combinator"] }
  ],
  "enrichmentStatus": "enriched",
  "sourceGeneratedAt": "2026-05-01T11:32:57.142Z",
  "scrapedAt": "2026-07-28T04:00:00.000Z"
}

Source values can change between runs. The dataset schema includes every emitted field, including optional section summaries.

How much does it cost to scrape Dealroom company profiles?

The Actor uses pay-per-event pricing:

• a $0.005 start fee per run;
• one item event for each company record saved;
• no separate event charge for optional profile enrichment.

Current item pricing decreases by platform tier:

Tier	Price per saved company
Free	$0.00115
Bronze	$0.00100
Silver	$0.00078
Gold	$0.00060
Platinum	$0.00040
Diamond	$0.00028

At the Free-tier event price, 100 saved companies cost about $0.12, including the start fee. One thousand saved companies cost about $1.16. A one-company enriched profile costs about $0.0062.

You are charged for saved company records, not rejected filters, missing profiles, or failed records. Apify displays the exact charge estimate for your account and run.

Efficient and reliable runs

• Start with index-only output and enable enrichment only when needed.
• Use startUrls to bound a known account list.
• Apply filters before raising maxItems.
• Keep profileConcurrency at 3 unless you have measured a larger workflow.
• Schedule repeat runs at a cadence appropriate for the source snapshot.
• Use sourceGeneratedAt to distinguish source freshness from scrapedAt.
• Treat an empty dataset as a valid no-match result when filters are restrictive.

The Actor retries transient network and server failures with bounded retries. Malformed input, unsupported domains, and structurally invalid source responses fail the run rather than returning misleading empty success.

Limitations

• Coverage is limited to Dealroom’s anonymous public Power Law index.
• The Actor does not log in or access app.dealroom.co.
• Public profiles can expose ranges instead of exact premium values.
• Profile sections vary by company; absent sections remain null or empty.
• Dealroom may update field labels, HTML structure, records, or the index generation schedule.
• maxItems follows source order after filtering; it is not a custom ranking algorithm.
• Text search is a case-insensitive substring match, not semantic search.
• Profile enrichment is HTTP-based and does not execute client-side interactions.

Workflow ideas

VC market map

Filter by country, sector, tier, and founding year. Export CSV to a spreadsheet, then add internal thesis and owner columns.

CRM refresh

Supply known Dealroom profile URLs, enable enrichment, and map stable slug or profileUrl values to CRM company IDs. Use scrapedAt for refresh auditing.

Valuation cohort monitor

Schedule a recurring run with valuation thresholds. Compare valuationUsd, valuationLabel, and tier against the previous dataset.

Corporate development research

Enrich a bounded company list and inspect public investor, ownership, footprint, patent, deals, and sentiment sections. Treat these fields as research signals, not investment advice.

Data warehouse ingestion

Call the Actor through the API, wait for completion, and load the default dataset items endpoint into your warehouse. Use the stable field names from dataset_schema.json.

API usage with cURL

Replace APIFY_TOKEN with your token:

curl -X POST \
  "https://api.apify.com/v2/acts/automation-lab~dealroom-power-law-company-profiles-scraper/runs?token=APIFY_TOKEN&waitForFinish=120" \
  -H "Content-Type: application/json" \
  -d '{
    "countries": ["United States"],
    "sectors": ["AI"],
    "maxItems": 25
  }'

Fetch results from the run’s defaultDatasetId or use an Apify client.

API usage with JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/dealroom-power-law-company-profiles-scraper').call({
  countries: ['United States'],
  sectors: ['AI'],
  enrichProfiles: false,
  maxItems: 25,
});

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

API usage with Python

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("automation-lab/dealroom-power-law-company-profiles-scraper").call(
    run_input={
        "countries": ["United States"],
        "sectors": ["AI"],
        "maxItems": 25,
    }
)
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)

Use with Apify MCP

Add the Actor to Claude Code:

claude mcp add --transport http apify \
  "https://mcp.apify.com?tools=automation-lab/dealroom-power-law-company-profiles-scraper"

Claude Desktop

Add this JSON to your Claude Desktop MCP configuration:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=automation-lab/dealroom-power-law-company-profiles-scraper"
    }
  }
}

Cursor

Add the same mcpServers.apify entry to your Cursor MCP settings, then restart Cursor so the Actor tool is discovered.

VS Code

Add the same HTTP MCP server URL through your VS Code MCP extension or workspace MCP configuration. Keep APIFY_TOKEN in the client environment when authentication is requested; never commit it.

Example prompts:

• “Find up to 50 US cybersecurity unicorns in Dealroom.”
• “Enrich these five public Dealroom company profile URLs.”
• “Build a CSV-ready list of UK fintech companies founded since 2020.”

Integrations

Send dataset results to:

• Google Sheets for analyst review;
• Airtable or a CRM for account enrichment;
• Slack or email for monitored cohort changes;
• BigQuery, Snowflake, or another warehouse;
• Zapier or Make for no-code workflows;
• custom applications through apify-client.

Use stable URL or slug fields for deduplication. Do not use company names alone as identifiers because names can change or collide.

Responsible use and legality

This Actor accesses anonymous public pages at dealroom.co. You are responsible for complying with Dealroom’s terms, applicable law, and your organization’s policies.

Do not use results for unlawful discrimination, harassment, spam, or misleading financial claims. Do not treat valuation ranges or sentiment indicators as verified investment advice. Store and share company data only for a lawful purpose. The Actor does not bypass authentication or unlock premium fields.

Troubleshooting

Why did my run return zero records?

Check exact country, sector, and tier spellings. All searchTerms must match each company, and all filters are combined. Start with one filter, inspect results, and then narrow the input.

Why is enrichmentStatus set to unavailable?

The index record was saved, but the corresponding public profile could not be parsed or fetched. Inspect the run log and retry later if the source had a transient problem. The Actor does not fabricate enrichment fields.

Why was my URL rejected?

Only dealroom.co/companies/{slug} profile URLs or plain company slugs are supported. Locked app.dealroom.co URLs and unrelated domains are intentionally rejected.

Why are valuation or revenue values ranges?

That is how Dealroom renders those values publicly. The Actor preserves ranges instead of claiming unavailable precision.

How do I reduce runtime?

Disable enrichProfiles, lower maxItems, or provide a short startUrls list. The full public index is fetched only once per run.

Related Automation Lab actors

• Craft.co Company Intelligence Scraper for another public company-intelligence source.
• Tracxn Startup & Company Intelligence Scraper for startup discovery from Tracxn’s public surface.
• LinkedIn Company Scraper for public company presence and profile fields on LinkedIn.
• SEC Company Facts API Scraper for official US public-company filing facts.

Use related Actors only when their source and output match your research objective.

FAQ

Does this Actor require a Dealroom account?

No. It targets the anonymous public Power Law index and public company profile pages.

Does it use a proxy or browser?

No by default. The current routes work with direct HTTP requests.

Can I scrape all indexed companies?

Yes. Set maxItems up to 9,052, subject to the current source size. Start with a smaller run to verify the output and cost.

Does enrichment cost a separate event?

No. Each saved company emits one item event whether enrichment is disabled, successful, or unavailable.

Can I filter explicit profile URLs?

Yes. Country, sector, tier, year, valuation, and search filters are applied to explicit profile selections too.

Is the data real-time?

No guarantee is made. sourceGeneratedAt reports the source snapshot timestamp, while scrapedAt reports when the Actor emitted the record.

What happens if Dealroom changes the response format?

The Actor validates status, content type, and index shape. A structural index failure stops the run rather than returning a misleading empty dataset. Optional profile failures preserve valid index records and mark enrichment unavailable.