Owler Company Scraper

Owler Company Scraper

Enrich companies with business intelligence from Owler — firmographics, competitors, funding, acquisitions, investments, leadership, and news events — from a list of website domains, plain company names, Owler URLs, or a whole sector. Export analysis-ready rows as JSON, CSV, or Excel.

Feed domains straight from a CRM export and get back 40+ fields per company — revenue, headcount, HQ, exchange/ticker, SIC codes, CEO, a ranked competitor list with per-competitor firmographics, funding rounds and investors, M&A history, and a news timeline — or point a sector preset at Owler's live competitor graph and map an entire market.

Copy to your AI assistant

Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this Actor.

Actor: parsebird/owler-company-scraper (Apify). Enriches companies with data from Owler.com. Call it with ApifyClient.
Provide at least one source; all sources merge and de-duplicate:
  companyDomains[]  website domains ("apple.com") — most precise, resolved via Owler search on the company website
  companyNames[]    plain names ("Bright Data", "AT&T")
  companyUrls[]     Owler slugs or URLs ("apify" or "https://www.owler.com/company/apify")
  preset            one of: saas | fintech | ai-ml | ecommerce | gaming | crypto-web3  (starts from ~20 anchors)
  presetDepth       0-4 (default 2) — how deep to follow competitors-of-competitors
Enrichment toggles (all true by default): includeCompetitors, includeFunding, includeAcquisitions, includeInvestments,
  includeNewsEvents, includeFinancialHistory, includeLeadership, includeSocial
maxResults          default 100, max 100000 — hard cap / cost ceiling
maxConcurrency      default 10, max 50
Output: one row per company — url, name, legalName, description, summary, website, domain, logo, phoneNumber, industry,
  industries[], industrySectors[], ownership, sicCodes[], yearFounded, headquarters, address{}, exchange, ticker,
  employees, employeesFormatted, employeesRange, revenueAmount, revenueFormatted, revenueRange, followers, ceo{},
  leadership[], competitors[], totalCompetitors, funding{rounds[]{investors[]}}, fundingByYear[], acquisitions[],
  totalAcquisitions, investments[], firstInvestment{}, totalInvestments, keyHighlights[], revenueQuarterly[], momentum[],
  social{}, scrapedAt. Unresolved companies return {error, input, kind, scrapedAt}.
Pricing: pay-per-result. API docs: https://apify.com/parsebird/owler-company-scraper/api

What does Owler Company Scraper do?

This Actor reads Owler's public company API — the same data behind every owler.com/company/… profile — and returns it as one structured row per company.

• 🏢 Firmographics — legal name, description, industry taxonomy, ownership, year founded, HQ and full address, phone, employee count with range, revenue with range, SIC codes, stock exchange and ticker (only when the company is actually listed).
• 🥊 Competitor graph — a ranked competitor list with each competitor's own revenue, headcount, HQ, ownership, and proximity score, plus the total competitor count Owler tracks.
• 💵 Funding — total raised, round-by-round history with dates and named investors (linked to their Owler profiles), and an annual funding chart.
• 🤝 M&A — acquisitions the company has made (with amounts, dates, sources) and the company's own venture investments, including its first recorded investment.
• 📰 News & momentum — Owler's key-highlight event timeline, quarterly revenue for public companies, and revenue/employee trend signals.
• 👔 People — CEO with Owler rating and social links, plus the wider executive team.
• 🔀 Sector presets — start from ~20 curated anchors for SaaS, Fintech, AI/ML, E-commerce, Gaming, or Crypto/Web3 and traverse Owler's live competitor graph up to 4 hops deep.

How is this different from opening Owler profiles by hand?

Owler shows a slice of each section behind a sign-in wall and a paywall. This Actor returns the full competitor list with firmographics, the complete funding and acquisition history, every recorded investment, and the news timeline — for hundreds of companies per run, keyed by domain so it joins straight onto your CRM.

Input parameters

You must supply at least one source of companies. Everything else has defaults.

Parameter	Type	Default	Description
companyDomains	array	[]	Website domains (apple.com). Most precise input.
companyNames	array	[]	Plain company names.
companyUrls	array	[]	Owler slugs or owler.com/company/… URLs.
preset	enum	—	saas, fintech, ai-ml, ecommerce, gaming, crypto-web3.
presetDepth	integer	2	Competitor-graph hops for the preset (0–4).
includeCompetitors	boolean	true	Competitor list + total.
includeFunding	boolean	true	Funding rounds, investors, annual chart.
includeAcquisitions	boolean	true	Acquisitions the company made.
includeInvestments	boolean	true	The company's own investments.
includeNewsEvents	boolean	true	Key-highlight news timeline.
includeFinancialHistory	boolean	true	Quarterly revenue + momentum.
includeLeadership	boolean	true	Executive team.
includeSocial	boolean	true	Social profile URLs.
maxResults	integer	100	Hard cap on unique companies (max 100,000).
maxConcurrency	integer	10	Parallel Owler requests (max 50).
proxyConfiguration	object	none	Optional; Owler works without a proxy.

Input examples

{ "companyDomains": ["apple.com", "salesforce.com", "stripe.com", "shopify.com"], "includeCompetitors": true }

{ "preset": "saas", "presetDepth": 2, "maxResults": 1000 }

{ "companyNames": ["Sony", "Microsoft", "Google"], "includeAcquisitions": true, "includeInvestments": true, "includeCompetitors": false, "includeFunding": false, "includeNewsEvents": false, "includeFinancialHistory": false, "includeLeadership": false, "includeSocial": false }

Output example

{
  "url": "https://www.owler.com/company/sony",
  "name": "Sony",
  "legalName": "Sony Corporation",
  "description": "Sony is a Japan-based multinational conglomerate ...",
  "website": "https://www.sony.com",
  "domain": "sony.com",
  "industry": "Computers, Peripherals, Networking and Electronic Equipment",
  "industries": ["Technology Hardware & Equipment"],
  "ownership": "Public",
  "sicCodes": ["3669", "3577", "3576", "3575", "3600"],
  "yearFounded": 1946,
  "headquarters": "Minato-ku, Tōkyō Prefecture, JP",
  "address": { "street1": "1-7-1 Konan", "city": "Minato-ku", "state": "Tōkyō Prefecture", "country": "JP", "zipcode": "108-0075" },
  "exchange": "TSE",
  "ticker": "6758",
  "employees": 112000,
  "employeesRange": "100,000+",
  "revenueAmount": 86469744028,
  "revenueFormatted": "86.5B",
  "revenueRange": "$50B - 100B",
  "followers": 55997,
  "ceo": { "name": "Hiroki Totoki", "designation": "President & CEO", "rating": 73, "linkedin": "https://www.linkedin.com/in/hiroki-totoki-943b5513/" },
  "competitors": [
    { "position": 1, "name": "Samsung", "url": "https://www.owler.com/company/samsung", "domain": "samsung.com", "proximityScore": 100000, "ownership": "Public", "revenueAmount": 161407240007, "employeeCount": 267860 }
  ],
  "totalCompetitors": 29,
  "funding": { "totalAmount": 10000000, "totalFormatted": "10M", "totalRounds": 1, "rounds": [ { "date": "Oct 2023", "round": "Investment Fund", "amount": 10000000, "investors": [] } ] },
  "acquisitions": [ { "companyName": "STATSports Group Limited", "date": "Oct 2025", "undisclosed": true, "owlerUrl": "https://www.owler.com/company/statsports" } ],
  "totalAcquisitions": 20,
  "investments": [ { "companyName": "Qoly", "teamName": "qolycoltd", "date": "Feb 2026", "amount": 11468052 } ],
  "firstInvestment": { "companyName": "Intellectual Ventures", "date": "2014" },
  "totalInvestments": 18,
  "keyHighlights": [ { "type": "partnership", "headline": "Sony and VITEC Join Forces to Transform IPTV and Digital Signage", "date": "2026-06-12T00:00:00.000Z", "sourceName": "Zacks" } ],
  "revenueQuarterly": [ { "period": "Q1 2025", "revenueAmount": 19336030834 } ],
  "momentum": [ { "metric": "revenue", "changePercentage": -1.3, "direction": "down" } ],
  "social": { "twitter": "https://twitter.com/sony", "linkedin": "https://www.linkedin.com/company/sony", "facebook": "https://www.facebook.com/Sony" },
  "scrapedAt": "2026-08-29T10:00:00.000Z"
}

What data can you extract from Owler?

Field	Type	Description
url	string	Owler profile URL.
name / legalName	string	Display name and full legal entity name.
description / summary	string	Short and longer business summary.
website / domain	string	Official website and bare domain (handy for joins).
logo / phoneNumber	string	Logo URL and public phone.
industry / industries / industrySectors	string / array / array	Joined industry, broad taxonomy, specific sectors.
ownership	string	Public or Private.
sicCodes	array	Standard Industrial Classification codes.
yearFounded	number	Founding year.
headquarters / address	string / object	city, state, country and a structured address.
exchange / ticker	string	Stock exchange and symbol — null unless the company is actually listed.
employees / employeesFormatted / employeesRange	number / string / string	Headcount, locale string, Owler bucket.
revenueAmount / revenueFormatted / revenueRange	number / string / string	Revenue (USD), short form, range.
followers	number	Owler community followers.
ceo	object	name, designation, rating, photoUrl, linkedin, twitter.
leadership	array	Executive team.
competitors / totalCompetitors	array / number	Per-competitor firmographics + full count Owler tracks.
funding	object	totalAmount, totalRounds, rounds[] with investors[].
fundingByYear	array	{ year, amount } annual chart.
acquisitions / totalAcquisitions	array / number	M&A the company made.
investments / firstInvestment / totalInvestments	array / object / number	The company's own investments.
keyHighlights	array	News/event timeline — { type, headline, date, sourceUrl, sourceName, owlerReportUrl, mentionCount }.
revenueQuarterly	array	{ period, revenueAmount } — public companies only.
momentum	array	{ metric, changePercentage, direction } for revenue and employee.
social	object	LinkedIn, Twitter/X, Facebook, YouTube, Instagram.
scrapedAt	string	ISO extraction timestamp.

How to enrich companies from Owler

1. Open the Actor and click Try for free.
2. Paste website domains from your CRM export into Company domains (one per line). Or add plain names, Owler URLs, or pick a sector preset.
3. Turn off any enrichment sections you do not need for leaner rows.
4. Set Max results as your cost ceiling.
5. Click Start, then download the results as JSON, CSV, or Excel from the Storage tab, or pull them from the API.

How much does it cost to scrape Owler?

This Actor uses the pay-per-result model — you are charged per company row pushed to the dataset.

Plan	Price per company	Price per 1,000
Free	$0.00379	$3.79
Bronze	$0.00349	$3.49
Silver	$0.00329	$3.29
Gold	$0.00299	$2.99

Enriching 1,000 companies on the Free plan costs about $3.79. Error rows count as results. Your monthly Apify platform credits typically cover hundreds of companies at no extra cost.

How it works

1. Each domain and name is resolved to the exact Owler company via Owler's own search (domains are matched on the company website).
2. companyUrls are parsed to Owler slugs; a slug that no longer exists is re-resolved via search.
3. A preset starts from ~20 curated sector anchors and walks Owler's live getCompanyCG competitor graph breadth-first up to presetDepth hops.
4. For every company, the Actor fetches the profile and the enrichment sections you enabled in parallel, normalises them into the output schema, and de-duplicates by profile URL.
5. Companies that cannot be resolved are emitted as schema-consistent error rows so a CSV pipeline never silently drops a line.

Using the Actor via API

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run = client.actor("parsebird/owler-company-scraper").call(run_input={
    "companyDomains": ["stripe.com", "revolut.com", "plaid.com"],
    "includeFunding": True,
    "includeLeadership": True,
    "maxResults": 500,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["name"], "—", item.get("revenueFormatted"), "—", item.get("totalCompetitors"))

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });

const run = await client.actor('parsebird/owler-company-scraper').call({
    preset: 'fintech',
    presetDepth: 2,
    maxResults: 1000,
});

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

The Actor runs on the Apify platform, so you also get scheduling, a full REST API, webhooks, and native integrations with Make, Zapier, Google Sheets, HubSpot, and Salesforce. Results export as JSON, CSV, Excel, XML, or RSS.

Use cases

• CRM enrichment — feed website domains from a Salesforce or HubSpot export and append revenue, headcount, industry, and leadership.
• Competitive intelligence — pull a company's ranked competitor list with each competitor's firmographics.
• Market mapping — traverse a whole sector's competitor graph with a preset.
• M&A and VC research — acquisition and investment history, funding rounds, and named investors.
• Sales and ABM — score and segment accounts by size, funding stage, and momentum signals.

FAQ

Do I need an Owler account or API key? No. The Actor reads Owler's public company API. You only need an Apify account.

Which input is most accurate? companyDomains. Owler matches the domain against the company's official website, so it lands on the right profile even for ambiguous names.

Why is exchange / ticker sometimes null? Owler occasionally leaves a stale exchange on a private company. When there is no ticker, the Actor returns null for both rather than implying a listing.

Why is revenueQuarterly empty? Owler publishes quarterly revenue only for listed public companies. Private companies and investment firms return [].

How does the preset traversal work? It starts from ~20 curated anchor companies for the sector and follows Owler's live competitor graph breadth-first. presetDepth: 0 returns just the anchors; 2 (default) usually yields a few hundred companies; 4 maps the whole sector.

What happens to companies that can't be found? They are written as rows with an error string plus the original input and kind, so downstream joins stay aligned.

Can I schedule recurring runs? Yes. Use Apify's scheduler to refresh your account list daily or weekly, and route changes into your CRM. Found a problem? Open an issue on the Issues tab.

Related Actors

• LinkedIn Company Scraper — company pages and headcount from LinkedIn.
• Northdata Scraper — official company registers and financials.
• Indeed Jobs Scraper — job listings and company data from Indeed.
• Browse the full ParseBird publisher page for more scrapers.

Legal and compliance

This Actor collects only publicly available company information from Owler — data any visitor can view. It does not access private data or bypass authentication. You are responsible for using the scraped data in accordance with Owler's terms, applicable laws (including the GDPR and CCPA where relevant), and the purpose limitations that apply to personal data such as executive names and profiles. If you plan to scrape at scale or redistribute the data commercially, seek legal advice first. See Apify's guide on the legality of web scraping.