SiteSonar
Pricing
from $8.00 / 1,000 results
SiteSonar
Turn any website URL into a clean, structured company profile: name, description, industry, emails, phones, socials, locations, team, products, and more. Fast and low-cost with no per-page AI fees. Tested on 3,000+ real business sites
Pricing
from $8.00 / 1,000 results
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Logical Vivacity
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22 days ago
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SiteSonar - Company Data & Contact Extractor π°οΈ
Turn any website URL into a clean, structured company profile in seconds. Feed SiteSonar a list of domains and get back ready-to-use JSON: company name, description, industry, emails, phone numbers, social links, office locations, team members, products, and more - no manual copy-pasting, no AI tokens billed per page, no cleanup afterward.
Perfect for lead enrichment, sales prospecting, CRM hydration, market research, competitor mapping, and building B2B datasets at scale.
Why SiteSonar?
- β‘ Fast & cheap. Built to process thousands of domains without burning through per-page AI costs. Predictable pricing, high throughput.
- π― Structured, not scraped. You get typed fields (emails, phones, socials, locations, peopleβ¦), not a wall of raw text to parse yourself.
- π§Ή Clean by default. Aggressive noise-filtering removes cookie banners, nav junk, boilerplate, and duplicate contacts - so what lands in your CRM is usable on day one.
- π Tested at scale. Validated across 3,000+ real business websites spanning dozens of industries and countries.
- π Drop-in ready. Standard Apify dataset output - export to CSV, Excel, JSON, or push straight into your database, Google Sheets, or CRM via the Apify API and integrations (Make, Zapier, n8n).
What you get for every website
| Field | Description |
|---|---|
company_name, legal_name | Business identity |
description, tagline | What the company does |
industry, category | Classification for segmentation |
emails, phones | De-duplicated contact points |
socials | LinkedIn, X/Twitter, Facebook, Instagram, YouTube, GitHub, TikTok⦠|
locations | Parsed addresses (street, city, region, postal, country) |
people | Team members with role, email, and LinkedIn where available |
products_services | Structured product/service list with pricing when shown |
booking_url | Scheduling / appointment link (Calendly, Acuity, and more) |
related_domains | Other domains the site links out to, de-duplicated |
logo_url, favicon_url | Brand assets |
founded_year, copyright_year | Company age signals |
hours, geo, ratings | Opening hours, coordinates, review scores |
faqs, testimonials | On-page FAQs and customer quotes |
(Field availability depends on what each website actually publishes.)
Typical coverage across real websites
Measured on a 3,000-site benchmark:
- Company name & socials: ~100%
- Category & description: ~90%
- Industry & products: ~85%
- Phone numbers: ~63% Β· Locations: ~55% Β· Emails: ~54%
- Team members, FAQs, booking links, ratings and more where present
How to use it
- Click Try for free.
- Paste one or more website URLs into Start URLs (or upload a list).
- (Optional) Tune crawl depth and page limits.
- Run it, then export the results as JSON / CSV / Excel - or connect it to your CRM, spreadsheet, or workflow tool.
Example input
{"startUrls": [{ "url": "https://www.stripe.com" },{ "url": "https://www.notion.so" }],"maxCrawlDepth": 2,"maxPagesPerSite": 20}
Example output (one row per website)
{"company_name": "Stripe","website": "stripe.com","industry": "Financial Services","category": "Software & IT","description": "Online payment processing for internet businesses.","emails": ["support@stripe.com"],"phones": ["+1 888-926-2289"],"socials": {"linkedin": "https://www.linkedin.com/company/stripe","twitter": "https://twitter.com/stripe"},"locations": [{ "raw": "354 Oyster Point Blvd, South San Francisco, CA 94080", "city": "South San Francisco", "region": "CA", "country": "US" }],"products_services": [{ "name": "Payments" },{ "name": "Billing" }],"related_domains": [{ "domain": "github.com", "links": 4 }]}
Input options
| Option | What it does |
|---|---|
| Start URLs | The websites to profile. One row is produced per site. |
| Max crawl depth | How many link-hops from the start page to explore. Higher = more coverage, slower. |
| Max pages per site | Hard cap on pages per website so large sites stay fast. |
| Stay on the same domain | Keep the crawl on the company's own site (recommended). |
| Prioritize about/contact/team pages | Visit the pages richest in company info first. |
| Render mode | Cheerio (fastest), Auto (render only when a page needs it), or Browser (always render JS-heavy pages). |
Common use cases
- Sales & lead enrichment - turn a list of domains into contactable leads.
- CRM hydration - fill missing company fields automatically.
- Market & competitor research - profile an entire industry in one run.
- Recruiting & partnerships - surface team members and their roles.
- Data & directory building - assemble structured B2B datasets.
Integrations & export
Results are stored in a standard Apify dataset, so you can:
- Download as JSON, CSV, Excel, or HTML.
- Pull them via the Apify API.
- Automate delivery to Google Sheets, Make, Zapier, n8n, Slack, or your own database using Apify integrations.
FAQ
Does it work on any website? It works best on standard business websites. Pages that publish clear company information return the richest profiles; sparse or heavily locked-down sites return fewer fields.
Will it get blocked? SiteSonar runs on Apify's infrastructure with proxy support. For tougher sites, enable a browser render mode and/or proxies from the run options.
How much does it cost? Because it does not spend AI tokens per page, SiteSonar is built to be one of the most cost-efficient ways to enrich company data at volume. See the pricing on this Actor's page.
Is my usage compliant? You are responsible for using extracted data in line with the target sites' terms and applicable law (including GDPR/CCPA where relevant). SiteSonar only collects information that websites publish publicly.
Built for teams that need clean company data fast - without the per-page AI bill. Start with the free trial and see your first profiles in under a minute.