🏭 Thomasnet Supplier Scraper

🚀 Pull structured B2B supplier records from Thomasnet — 25+ fields per company, ready for your CRM, sourcing pipeline, or model.

Get a clean dataset of US industrial suppliers from any Thomasnet category in minutes. Company name, address (with lat/lng), primary phone, website, brands, families, year founded, employee bracket, sales bracket, and the full 25-deep classification tree. No selectors. No "Please enable JavaScript" pages. No maintenance.

✨ Why this scraper

• ⚡️ Single-call rich records — every supplier comes back with 25+ typed fields (lat/lng, year founded, sales bracket, employees bracket, full category tree, social links, key personnel). No separate detail-fetch step, no DOM scraping, no XPath drift.
• 🔎 Keyword search — give it a free-text term ("steel pipe", "cnc machining") and it auto-resolves to category headings. No need to hunt for heading IDs.
• 🚀 Fast — one network call per 100 suppliers, full record in one shot. A 250-record heading run finishes in seconds.
• 🛡 Reliable — retry, fingerprint rotation, structured rejection diagnostics, failure-budget guard that aborts a broken run before it burns your CU.
• 🔁 Dedup-safe — same supplier across multiple categories appears once.
• 📦 JSON / CSV / Excel — pipe straight into Sheets, Postgres, HubSpot, or your warehouse.

🚀 Quick start

1. Click Try for free above.
2. Enter a search keyword (e.g. gates, cnc machining) — or a specific heading ID if you have one.
3. Set maxItems and hit Start → wait → Download as JSON / CSV / Excel.

🛠 Input

Field	What it does
searchKeywords	Free-text terms ("gates", "steel pipe") — auto-resolved to category heading IDs.
headingIds	Direct numeric heading IDs from any Thomasnet category URL — skip if using keywords.
startUrls	Specific supplier-profile URLs to scrape directly (skips category discovery).
maxItems	Hard cap on records (default 50, 0 = unlimited). Each heading currently returns up to ~290 unique suppliers — set 0 to keep them all.
concurrency	Parallel headings to crawl in flight (default 5, max 25).

📋 Sample input

{
  "searchKeywords": ["cnc machining"],
  "maxItems": 200
}

📦 Sample output

{
  "url": "https://www.thomasnet.com/company/long-fence-inc-358322/profile",
  "id": "358322",
  "name": "Long Fence, Inc.",
  "website": "http://www.longfence.com/commercial/",
  "phone": "(866) 966-4337",
  "logoUrl": "https://cdn.thomasnet.com/ccp/00358322/36527.png",
  "description": "Custom manufacturer and installation of fences, gates, decks...",
  "annualSales": "Under $1 Mil",
  "numberEmployees": "200-499",
  "yearFounded": "1945",
  "isClaimed": true,
  "isAdvertiser": true,
  "xometryVerified": false,
  "isMultiLocation": true,
  "tier": "VERIFIED",
  "type": "C",
  "address": {
    "address1": "8545 Edgeworth Dr.",
    "city": "Capitol Heights",
    "state": "MD",
    "stateName": "Maryland",
    "zip": "20743",
    "country": "USA",
    "latitude": 38.876765,
    "longitude": -76.881892
  },
  "primaryHeading": {
    "headingId": "33470279",
    "name": "Gates",
    "familyName": "Gates",
    "familyId": "162627"
  },
  "headings": [{ "headingId": "180307", "name": "Access Control Systems" }, "..."],
  "families": [{ "id": "161624", "name": "Fences" }, "..."],
  "brands": ["Alutech", "Cookson"],
  "otherActivities": ["D", "M", "S"],
  "businessDetails": {
    "Website": [{ "url": "http://www.longfence.com/commercial/", "text": "Homepage" }],
    "Primary Company Type": [{ "text": "Custom Manufacturer" }],
    "Annual Sales:": [{ "text": "Under $1 Mil" }],
    "No of Employees:": [{ "text": "200-499" }],
    "Year Founded:": [{ "text": "1945" }]
  },
  "scrapedAt": "2026-05-11T08:35:46Z"
}

💼 Use cases

Who	What for
💰 Sales & RevOps	Build territory lists by category — feed straight into Salesforce or HubSpot.
🤝 Procurement	Discover qualified suppliers for a specific industrial category, complete with phone, website, and certifications context.
📊 Market research	Map an industry by employee bracket, sales bracket, year founded, and geographic distribution.
🤖 ML / data teams	Training data for industrial taxonomy classifiers, NER on supplier descriptions, B2B knowledge graph projects.
🏗 PropTech / Logistics	Cross-reference supplier addresses (with lat/lng) with real-estate or shipping datasets.

💡 Tips & tricks

• Use keywords first. searchKeywords: ["gates"] is easier than hunting heading IDs — the underlying resolver returns precisely the matching categories.
• Set maxItems: 0 to walk the entire heading. Each heading caps around 290 unique suppliers on the current Thomasnet surface.
• Speed vs reliability: stick to concurrency: 5 for normal runs. Crank to 10–15 only when crawling many headings at once.

❓ FAQ

Are emails included? No. Thomasnet does not expose contact emails on supplier profiles publicly. The actor returns whatever Thomasnet itself shows — phone and website only.

How fresh is the data? Live from Thomasnet on every run — no caching layer.

Can I scrape one specific supplier? Yes. Put the profile URL in startUrls and leave the search/heading inputs empty.

📜 Licence & terms

The actor returns publicly visible profile data. You are responsible for complying with Thomasnet's terms of service, your local data-protection law, and any sector-specific rules in your jurisdiction.