Industrial Supplier Intelligence | B2B Enrichment avatar

Industrial Supplier Intelligence | B2B Enrichment

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Industrial Supplier Intelligence | B2B Enrichment

Industrial Supplier Intelligence | B2B Enrichment

Enrich user-provided industrial supplier websites into procurement-ready B2B profiles with categories, capabilities, locations, certifications, contact pages, confidence, PPE charged events, and clear no-charge statuses.

Pricing

Pay per usage

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太郎 山田

太郎 山田

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4 days ago

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Industrial Supplier Intelligence

Turn user-provided industrial supplier websites into structured B2B supplier profiles for sourcing, procurement, supplier-risk review, and RFQ preparation. This actor is direct-source only: it fetches the supplier URLs and domains you provide and does not use search engines for discovery.

Use it when your team already has a target account list, supplier portal export, trade-show list, ERP vendor list, or shortlist from another workflow and needs consistent supplier facts before a buyer, analyst, or procurement system takes the next step.

Store Quickstart

Pick the smallest template that matches the buyer workflow:

  • Quickstart - 2 Supplier Websites: lowest-friction proof run. Enrich two public supplier websites, write dataset rows, and inspect categories, capabilities, certifications, contact pages, confidence, status, and chargedEvent.
  • Recurring Supplier Watch: schedule the same supplier list weekly or monthly. Compare companyName, categories, capabilities, locations, certifications, contactPage, confidence, and status across runs to catch changed public evidence.
  • Procurement Shortlist Enrichment: use supplier domains exported from procurement research, ERP, vendor master, or sourcing spreadsheets. Join the output back to your shortlist by website or sourceUrls.
  • RFQ Vendor Prequalification: run candidate vendors before an RFQ. Route success and useful partial rows to a buyer review queue; keep no-charge rows as list-cleanup tasks.

For production, start with dataset output in Apify. Once the row shape is accepted, downstream teams can send charged supplier rows to procurement tools, vendor-master enrichment, CRM/account intelligence, RFQ workspaces, or the public-sector Procurement Intel Actor when supplier intelligence should sit next to bid and award monitoring.

What It Does

  • Normalizes supplier URLs and bare domains into direct fetch targets.
  • Extracts public website signals for company name, industrial category, capabilities, locations, certifications, contact page, and source evidence.
  • Uses buyer-provided keywords only as local relevance hints against supplied pages. Keywords are not sent to search engines.
  • Emits one dataset row per supplied source, including no-charge diagnostic rows for invalid, blocked, not-found, and failed sources.
  • Passes custom pay-per-event billing only for useful supplier intelligence rows.

Runtime And Delivery Guardrails

  • Runtime: Node.js 20+ on Apify Actor Node 20.
  • dryRun: true validates inputs and output shape without dataset writes, webhook delivery, or custom PPE charges.
  • Production runs are dataset-first: dataset/PPE output completes before any webhook-style delivery hook is allowed to run.
  • Keep webhook handoff disabled until downstream teams accept the dataset schema and no-charge diagnostic rows.

B2B Use Cases

BuyerWorkflowValue
Procurement teamsEnrich supplier shortlists before RFQ or onboardingFaster vendor prequalification with consistent public evidence
Strategic sourcingRefresh known supplier lists by category, geography, or certificationRecurring visibility into capability and certification signals
RevOps and data teamsAppend supplier intelligence to CRM, vendor master, or account datasetsClean row shape with confidence and billing status for automation
Industrial marketplacesNormalize supplier profile fields from submitted websitesCategories, capabilities, contacts, and evidence URLs for listing review
Risk and diligence teamsPreserve blocked, not-found, and invalid rowsTransparent source quality without paying for unusable results

Input

FieldTypeDefaultDescription
urlsstring[][]Specific supplier website URLs to enrich. Use public home, about, capabilities, products, certifications, or contact pages.
domainsstring[][]Bare supplier domains. Domains are normalized to https://domain/ and fetched directly.
keywordsstring[][]Industrial terms used only for local scoring and category/capability hints against supplied sources.
regionstring""Optional buyer region or sourcing market, used as a location and relevance hint.
maxResultsinteger25Maximum normalized supplier sources to process and emit.

Provide at least one value in urls or domains. V1 intentionally has no search engine discovery, no private portal access, and no authentication.

Input Example

{
"urls": [
"https://www.parker.com/",
"https://www.smcusa.com/"
],
"domains": [],
"keywords": [
"industrial automation",
"pneumatics",
"ISO 9001"
],
"region": "United States",
"maxResults": 2
}

Output

The Apify dataset receives one row per requested source. Useful rows include supplier profile fields; diagnostic rows make invalid or unavailable sources visible for cleanup.

FieldTypeDescription
companyNamestringnull
websitestringnull
categoriesstring[]Industrial categories inferred from public text and keyword hints.
capabilitiesstring[]Capability terms such as CNC machining, assembly, automation, logistics, or private label.
locationsstring[]Detected public location strings and optional region hint matches.
certificationsstring[]Text-detected certifications such as ISO 9001, ISO 13485, IATF 16949, AS9100, UL, CE, RoHS, or REACH.
contactPagestringnull
sourceUrlsstring[]Source URLs used as evidence for the row.
confidencenumber0 to 1 score based on profile completeness and keyword evidence.
statusstringsuccess, partial, invalid, blocked, not_found, or error.
chargedEventstringnull

Output Example

{
"companyName": "Acme Industrial Manufacturing",
"website": "https://acme.example",
"categories": ["machining", "metal fabrication"],
"capabilities": ["CNC machining", "milling", "welding", "assembly"],
"locations": ["Cleveland, United States"],
"certifications": ["ISO 9001:2015", "ROHS"],
"contactPage": "https://acme.example/contact",
"sourceUrls": ["https://acme.example/"],
"confidence": 0.9,
"status": "success",
"chargedEvent": "supplier_profile_enriched"
}

No-charge diagnostic rows stay in the dataset so list owners know which vendor records need repair:

{
"companyName": null,
"website": "https://missing-supplier.example/",
"categories": [],
"capabilities": [],
"locations": [],
"certifications": [],
"contactPage": null,
"sourceUrls": ["https://missing-supplier.example/"],
"confidence": 0,
"status": "not_found",
"chargedEvent": null
}

Pricing And No-Charge Rules

This actor is designed for custom pay-per-event pricing. It only charges when the row contains useful supplier intelligence.

StatusCharged eventChargeMeaning
successsupplier_profile_enrichedYesProfile has enough evidence for analyst or procurement review.
partialsupplier_partialYesSome useful public evidence was found, but the profile is incomplete.
invalidnullNoInput was empty or could not be normalized into a public URL/domain.
blockednullNoSource blocked the request or timed out.
not_foundnullNoSource was missing, non-HTML, or did not contain useful supplier evidence.
errornullNoFetch or processing failed.

Recommended starting PPE pricing:

  • apify-actor-start: $0.001
  • supplier_profile_enriched: $0.04
  • supplier_partial: $0.015

When custom PPE is configured, omit the default dataset item event. The actor passes chargedEvent explicitly for charged rows and leaves no-charge rows as null.

Procurement Integration

A practical handoff looks like this:

  1. Export supplier domains from ERP, vendor master, procurement research, sourcing spreadsheets, or account lists.
  2. Run this actor with dataset delivery and keep maxResults aligned with the review batch size.
  3. Filter rows where chargedEvent is supplier_profile_enriched or supplier_partial.
  4. Send those rows to buyer review, RFQ workspaces, CRM/account enrichment, or vendor onboarding.
  5. Keep invalid, blocked, not_found, and error rows as no-charge cleanup tasks.
  6. For public-sector teams, combine enriched supplier rows with bid and award signals from Procurement Intel Actor.

API Usage

Run this actor programmatically using the Apify API. Replace YOUR_API_TOKEN with your token from Apify Console -> Settings -> Integrations.

cURL

curl -X POST "https://api.apify.com/v2/acts/taroyamada~industrial-supplier-intelligence/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
-H "Content-Type: application/json" \
-d '{ "urls": ["https://www.parker.com/", "https://www.smcusa.com/"], "keywords": ["industrial automation", "pneumatics", "ISO 9001"], "region": "United States", "maxResults": 2 }'

Python

from apify_client import ApifyClient
client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("taroyamada/industrial-supplier-intelligence").call(run_input={
"urls": ["https://www.parker.com/", "https://www.smcusa.com/"],
"keywords": ["industrial automation", "pneumatics", "ISO 9001"],
"region": "United States",
"maxResults": 2,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item["website"], item["status"], item["chargedEvent"])

JavaScript / Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('taroyamada/industrial-supplier-intelligence').call({
urls: ['https://www.parker.com/', 'https://www.smcusa.com/'],
keywords: ['industrial automation', 'pneumatics', 'ISO 9001'],
region: 'United States',
maxResults: 2,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.map((row) => ({ website: row.website, status: row.status, chargedEvent: row.chargedEvent })));

Limits

  • No search engine discovery in V1.
  • No authentication, paywall bypassing, private portal access, or private supplier data collection.
  • Public HTML extraction only; JavaScript-heavy supplier sites may return partial or no-charge statuses.
  • Certifications are text-detected and should be verified against source pages before procurement decisions.
  • The actor does not decide supplier approval. It creates structured evidence for procurement and analyst review.

Local Run

npm install
npm start
npm test