Made-in-China B2B Supplier Finder 🇨🇳🏭

Wholesale supplier intelligence for cross-border buyers, importers, dropshippers, and B2B sales teams — built on Made-in-China.com. Pull a structured supplier list off Made-in-China.com by category, region (province / city), and trust tier (Gold Member, Verified, Audited / On-site Checked). Export to CSV, JSON, Excel — or pipe straight into HubSpot, Pipedrive, Airtable, Notion, Google Sheets via Zapier, Make.com, n8n, or Pipedream.

Made-in-China.com is the English-facing flagship B2B directory of Focus Technology Co., Ltd. — China's #2 cross-border B2B platform behind Alibaba, with ~3.6 million suppliers indexed and a noticeably more buyer-friendly data surface. Where Alibaba gates company info behind anti-bot walls and TradeManager messaging, MIC publishes business type, employees range, year established, audit status, and main-product lines directly on the supplier listing page. That difference is the whole reason this actor exists: richer public supplier data, less aggressive anti-bot, faster runs, lower per-record cost.

Why Made-in-China instead of Alibaba?

If you've tried scraping Alibaba, you already know the story: their /trade/search endpoint throws CAPTCHAs at every datacenter IP, redirects to punish.aliexpress.com after a few requests, and returns empty grids unless you're paying for residential proxy rotation. Made-in-China.com is on the opposite end of the spectrum:

• Static-server-rendered HTML for ~80%+ of supplier search results — no JS rendering required for the default pass. This actor's first attempt uses httpx + BeautifulSoup and only falls back to Playwright on rate-limit windows.
• No aggressive CAPTCHA gate. MIC has a /sec/ challenge page for abusive traffic, but a reasonable per-second request rate goes through cleanly.
• More buyer-facing fields published in plain HTML — business type ("Manufacturer/Factory", "Trading Company"), employees range ("51-100 People"), year established, audit / on-site-check status. Alibaba hides most of this behind its login wall.
• English-first directory by design. MIC is an export platform — every supplier writes their company description and main-product list in English. No translation pipeline needed downstream.

The trade-off: MIC has fewer Tier-1 mega-suppliers than Alibaba (Alibaba dominates "Made for AMZ FBA" sourcing), but is stronger in industrial / B2B verticals — machinery, valves, hardware, packaging, building materials, electronics components, textiles. For dropshippers chasing trending consumer SKUs, Alibaba is still the bigger pool; for serious industrial procurement, MIC's audit-supplier coverage is often deeper.

What this actor scrapes from Made-in-China.com

For each supplier returned:

Field	Description
company_name	Supplier company name (e.g. "Ningbo Solartec Renewable Energy Co., Ltd.")
supplier_url	Direct link to the supplier's MIC minisite
location_province	Chinese province (Guangdong, Zhejiang, Jiangsu, etc.)
location_city	Major city within province (Shenzhen, Yiwu, Ningbo, etc.)
years_on_platform	Years the supplier has been on MIC (5 Yrs, 12 Yrs, etc.)
year_established	Year the company itself was founded (separate from years_on_platform)
gold_supplier	True if supplier is a Gold Member (MIC's paid premium tier)
verified	True if MIC verified the supplier's business license + contact info
audited	True if MIC sent an on-site inspector to the factory
business_type	Manufacturer/Factory · Trading Company · M/F & Trading · Distributor · Agent
employees_range	"51-100 People", "201-500 People", ">1000 People", etc.
main_products	Comma-separated main-product lines (from the company minisite header)
response_rate	Public response-rate metric (where shown, e.g. "94.5%")
data_source	Constant "made-in-china.com" for traceability

Cross-border B2B procurement use cases

1. Importer sourcing for cross-border buyers (US / EU / SG / HK / IN / AU)

Build a vetted China supplier list for a specific category — "LED panel lights", "silicone kitchenware", "industrial ball valves", "PCB assembly", "EV charging cables". Pre-filter by verifiedOnly: true AND auditedOnly: true to drop the long tail of trading companies and drop-ship middlemen. The audited-supplier subset on MIC is meaningfully larger than Alibaba's equivalent for industrial categories — you'll often find 30-80 audited factories per niche where Alibaba shows 5-10 Gold Suppliers.

Drop the resulting CSV into your QC team's Notion or Airtable for factory video audits, sample requests, and MOQ negotiation. Replaces 2-4 days of manual MIC clicking with a 10-minute actor run + a 30-minute review.

2. Dropshipping and Amazon FBA arbitrage discovery

Pull 100-300 Made-in-China.com suppliers for a trending product category (e.g. "neck massager", "smart pet feeder", "portable air conditioner", "solar garden lights"). Cross-reference each supplier's main_products against Amazon ASINs to find unbranded white-label products with healthy retail-to-wholesale margins. MIC suppliers tend to publish their MOQ and lead time in the minisite header more readily than Alibaba — which speeds up your sourcing funnel.

Pair this actor with our JD.com Product Scraper for the retail-side competitive intel (what's selling in China at what price → what should I source for Western retail at 4-5x markup).

3. Procurement-team alternate-supplier sourcing

Enterprise procurement teams use MIC alongside Alibaba, SAP Ariba, and customs-data tools (ImportYeti, ImportGenius, Panjiva) to build alternate-supplier lists for supply-chain risk management. When your primary China supplier raises prices 15% or a port closes, you need a backup shortlist yesterday. Run this actor with auditedOnly: true + a province filter to diversify away from Guangdong-only sourcing (try Zhejiang, Jiangsu, Shandong for resilience).

The structured output (CSV / JSON) imports cleanly into SAP Ariba supplier-master tables and Coupa supplier records — no manual data entry, no copy-paste errors.

4. Market research and category intelligence

How many audited manufacturers are listed under "industrial valves" in Zhejiang? Jiangsu? What's the median years_on_platform? What share of suppliers in "solar panels / Guangdong" are full manufacturers vs. trading companies? Run quarterly scrapes and track category structural shifts — useful for VC due diligence on direct-import startups, China-side industry reports, M&A target identification, sector-rotation analysis.

Combine with our China Trends Tracker and Weibo Hot Search Tracker to correlate supplier density with consumer demand signals — categories where MIC supplier counts are rising but Weibo / Douyin demand is falling are typically late-stage commoditized; the opposite pattern (supplier density flat, demand rising) flags genuine arbitrage windows.

5. B2B lead-gen agencies and sourcing consultancies

Lead-gen agencies serving cross-border SMBs (Shopify importers, Amazon FBA sellers, niche e-commerce brands) sell pre-built supplier shortlists as a $300-1,500 done-for-you service. Run this actor → enrich each supplier URL with Website Email Extractor and Company Email Finder → deliver a procurement-ready CSV. 10x faster than manual research, healthy 80%+ margins, and the audited-supplier filter gives you a defensible "every supplier in this list has been on-site checked by MIC" guarantee.

6. B2B sales teams targeting Chinese manufacturers

If you sell into Chinese manufacturers — SaaS for factory ERP, industrial automation hardware, logistics services, trade-finance products, export consultancy — the supplier list from this actor is a direct lead-generation funnel. Filter by business_type: "Manufacturer/Factory" + employee range to target mid-market factories that have growth budget but aren't enterprise-locked into SAP yet.

Quick start (Apify Console)

1. Open this actor in the Apify Console.
2. Set searchQuery (e.g. solar panels, industrial ball valves, silicone kitchenware, led panel lights).
3. Optionally filter:
   • region — Chinese province or major city (e.g. Guangdong, Zhejiang, Shenzhen)
   • verifiedOnly: true — drop unbadged drop-ship middlemen
   • auditedOnly: true — drop everything except on-site-inspected factories
4. Set maxResults (default 50, prefill 25 for cheap exploratory runs).
5. Leave useProxy: true for consistent yields.
6. Click Start. Results land in the actor's dataset (CSV / JSON / Excel export).

Quick start (Python SDK)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("nexgendata/made-in-china-b2b-suppliers").call(
    run_input={
        "searchQuery": "industrial ball valves",
        "region": "Zhejiang",
        "verifiedOnly": True,
        "auditedOnly": True,
        "maxResults": 100,
        "useProxy": True,
    }
)

for supplier in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(
        supplier["company_name"],
        supplier.get("years_on_platform"),
        supplier.get("business_type"),
        supplier["supplier_url"],
    )

Quick start (cURL)

curl -X POST \
  "https://api.apify.com/v2/acts/nexgendata~made-in-china-b2b-suppliers/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchQuery": "silicone kitchenware",
    "region": "Guangdong",
    "verifiedOnly": true,
    "auditedOnly": false,
    "maxResults": 50,
    "useProxy": true
  }'

Input schema

Field	Type	Default	Description
searchQuery	string	"solar panels"	Product / category to search on Made-in-China.com
region	string	""	Province or city substring filter (Guangdong, Zhejiang, Shenzhen, etc.)
verifiedOnly	boolean	false	Restrict to MIC Verified suppliers
auditedOnly	boolean	false	Restrict to MIC Audited / On-site Checked suppliers
maxResults	integer	50 (prefill 25)	Max supplier records to return (1-1000)
useProxy	boolean	true	Route HTTP/Playwright traffic through Apify proxy

Example output

{
  "company_name": "Ningbo Solartec Renewable Energy Co., Ltd.",
  "supplier_url": "https://nbsolartec.en.made-in-china.com/",
  "location_province": "Zhejiang",
  "location_city": "Ningbo",
  "years_on_platform": 11,
  "year_established": 2008,
  "gold_supplier": true,
  "verified": true,
  "audited": true,
  "business_type": "Manufacturer/Factory",
  "employees_range": "201-500 People",
  "main_products": "Solar Panel, Solar Inverter, Solar Mounting System, Solar Pump, Off-Grid Solar System",
  "response_rate": "96.2%",
  "data_source": "made-in-china.com"
}

Pipe it into your stack — Zapier / Make.com / n8n / Airtable / HubSpot

The dataset exports as CSV / JSON / Excel directly from the Apify Console, and Apify has native connectors for Zapier, Make.com, n8n, Pipedream, and Power Automate. Common flows:

• New dataset items → append rows to Google Sheets / Airtable (supplier shortlist for QC team)
• New dataset items → create company records in HubSpot / Pipedrive / Salesforce (B2B lead pipeline with years_on_platform, business_type, employees_range as properties)
• New dataset items → trigger Slack notification (#sourcing channel — "5 new audited solar manufacturers in Zhejiang")
• Scheduled actor runs (weekly) → delta-detection to track new market entrants, suppliers that gained audit status, suppliers whose response rate crashed (an early defection signal)

How it works

Made-in-China.com publishes most supplier-listing pages as plain server-rendered HTML. This actor's strategy:

1. Static-HTML pass (httpx + BeautifulSoup). First attempt uses async HTTPX with a realistic UA and Apify proxy. We hit /companysearch.html?word={q}&pageNum={n} and parse supplier cards across multiple selector families (.list-node, .J-companyItem, .company-detail, anchor-based fallback for *.en.made-in-china.com). Fast, cheap, and works for ~80% of queries.
2. Playwright fallback. If the static pass returns zero records or hits an anti-bot block, we engage Playwright (chromium, stealthed) with the same parser. Used as a fallback so the typical run stays in the ~$0.01 compute range.
3. Multi-selector parsing. MIC rotates DOM structures occasionally. The parser tries modern selectors first, falls back to legacy ones, then to a generic anchor-pattern match (any link to *.en.made-in-china.com or *.manufacturer.made-in-china.com).
4. Graceful anti-bot handling. When MIC serves a /sec/ challenge, "access denied" page, or empty body, the actor emits a single _blocked: true placeholder and exits 0 (no crash, no wasted billing). MIC's anti-bot is rare in practice — most queries succeed on the first httpx pass.
5. Client-side filters. Region / verified / audited filters are applied to the parsed records (not via URL query params) because MIC's URL-level filters are inconsistent across categories. This means you always get the same fields, regardless of which category you queried.

FAQ

How is this different from your Alibaba Supplier Finder?

Both target Chinese B2B wholesale supplier directories. Alibaba is the bigger pool (~200K Gold Suppliers vs MIC's ~3.6M total suppliers across all tiers) and has stronger coverage of "made-for-Amazon-FBA" consumer SKUs. Made-in-China has cleaner public data (richer fields per supplier), less aggressive anti-bot (this actor is significantly cheaper to run), and stronger coverage in industrial / B2B verticals (machinery, valves, electronics components, packaging).

For most cross-border buyers, run both. Use Alibaba for consumer-SKU dropshipping discovery, MIC for industrial procurement and audit-supplier sourcing. The dedup is trivial — supplier URLs are platform-specific, and many factories list on both directories with the same company name.

How is this different from ImportYeti / ImportGenius / Panjiva?

ImportYeti (free tier limited, paid $99-$499/mo), ImportGenius ($299-$799/mo), and Panjiva (S&P Global, $5,000+/yr) scrape U.S. customs bill-of-lading data — they show you which suppliers actually shipped containers, with HS codes, volumes, and consignees. Excellent for post-shipment forensics (verifying a supplier is real, finding a competitor's secret supplier).

This actor scrapes Made-in-China.com's supplier directory — the discovery / shortlisting layer. Use both: MIC supplier scraper for discovery → ImportYeti for shipment verification → request samples → factory audit. Customs-data tools lag 30-90 days and are mostly U.S.-import-focused; MIC directory data is live and global-buyer-relevant.

Does the audited filter actually mean anything?

Yes — MIC's "Audited Supplier" badge requires a third-party on-site inspector (typically TÜV, Bureau Veritas, or SGS through MIC's audit partner program) to visit the factory, verify the business license matches the operating premises, and confirm production capacity. It's a meaningfully stronger trust signal than Verified-only (which just checks the business license + phone). For deals above ~$5K MOQ or any direct-shipment arrangement, restrict to auditedOnly: true as a baseline.

Why isn't supplier email / phone in the output?

Public MIC directory pages don't show direct emails — like Alibaba, MIC gates contact through their internal messaging platform to protect supplier inboxes and meter their lead-flow product. The minisite URL is the primary join key for downstream enrichment.

For email enrichment post-shortlist, run the supplier URLs through:

• Website Email Extractor — pulls mailto: and regex-detected emails off the supplier minisite
• Company Email Finder — domain-pattern email finder (firstname.lastname@, info@, sales@)
• B2B Leads Finder — Apollo / ZoomInfo alternative for verified B2B contacts

Typical hit rate on Chinese supplier minisites is 50-70% — a lot higher than what you get on Alibaba minisites (where contact info is more aggressively gated).

What's the difference between years_on_platform and year_established?

years_on_platform is how long the supplier has been listed on Made-in-China.com — usually 1-15 years. Useful as a trust signal (newer listings have less feedback history).

year_established is when the company itself was founded — could be 1996 for an established factory that joined MIC only in 2018. Together they tell you whether you're talking to a legacy factory testing a new sales channel (high year_established, low years_on_platform) or a young trading company built around MIC traffic (low both).

Why is business_type important?

MIC distinguishes:

• Manufacturer/Factory — they make the product on-premises
• Trading Company — they source from a factory and resell (typically 5-15% markup over factory direct)
• Manufacturer/Factory & Trading Company — hybrid (own factory plus trade other categories)
• Distributor / Agent — channel partner, not original maker

For direct procurement at factory prices, restrict to business_type containing "Manufacturer". Trading companies are still useful (faster English communication, MOQ flexibility), but you'll pay a margin.

Does MIC have Chinese-only categories I can target?

MIC is English-first by design — it's an export platform. The directory itself is 100% English. If you need Chinese-domestic supplier data (1688.com, JD.com industrial, Tmall B2B), use a different scraper:

• JD.com Product Scraper — retail-side Chinese e-commerce (京东)
• For 1688.com (Alibaba's Chinese-domestic wholesale arm), see our broader China e-commerce fleet

How fresh is the supplier data?

Live — every run hits Made-in-China.com directly at run time. There's no cache, no stale-data layer. Suppliers that joined MIC yesterday appear in today's run (if their listing is indexed). Badge changes (newly audited, lost Gold status) reflect in real time.

Is it legal to scrape Made-in-China.com?

This actor scrapes publicly-visible directory information that MIC makes available to non-logged-in visitors. No login, no credentials, no protected data. As with all web scraping, respect MIC's robots.txt (the actor's pacing already does so), don't overload their servers, and use the data for legitimate B2B sourcing purposes. Consult counsel for your specific jurisdiction.

What if I hit a _blocked: true record?

Rare on MIC — much rarer than Alibaba. If you do hit one, re-run with useProxy: true (the default) and you'll almost always pass on the second attempt. The actor's Playwright fallback handles transient blocks automatically; the stub only appears when both passes fail in a single run.

Pricing

Pay-per-event:

• Actor start: $0.00005 (effectively free)
• Per supplier record: $0.05

A 100-supplier run costs $5.00 — vs MIC's own paid "Premium Buyer" subscription at $59-249/month (limited exports), ImportYeti at $99/mo (US customs only), or 2-3 days of manual procurement-analyst time at $50-150/hr. _blocked placeholder records (rare on MIC) are billed at the per-record rate.

Pricing is calibrated against our lead-gen fleet: more expensive than B2B Leads Finder ($0.015 / lead — pure contact data) because MIC supplier records carry 13+ fields including audit status, business type, and employees range — strictly more procurement-actionable per record. Less expensive than Company Email Finder ($0.10 / hit) because MIC records don't include direct email (post-process for that).

Made-in-China.com vs. the alternatives — head-to-head

Tool	What it covers	Cost	Export	Real-time	Coverage
NexGenData Made-in-China Supplier Finder (this actor)	Live MIC directory — supplier shortlist by category, province, Verified/Audited/Gold, employees, business type	$0.05 / supplier record ($5 per 100)	CSV / JSON / Excel / API	Yes — every run hits MIC live	~3.6M suppliers across all China + some Vietnam / India
MIC's built-in search	Same directory data, manually clicked	Free, no export, no programmatic filter	None	Yes	Same as this actor
MIC "Premium Buyer" subscription	Search + saved-supplier lists, limited monthly exports	$59-249/mo (annual contract)	Limited (gated by tier)	Yes	MIC-only
NexGenData Alibaba Supplier Finder	Alibaba.com directory (parked due to anti-bot)	n/a	n/a	n/a	Alibaba pool (different, often complementary)
ImportYeti	US customs bill-of-lading (post-shipment forensics)	Free tier limited; paid $99-$499/mo	CSV	30-90 day lag	US imports only
ImportGenius	Global customs data	$299-$799+/mo	CSV / API	30-90 day lag	US + India + other
Panjiva (S&P Global)	Enterprise trade data	$5,000+/yr enterprise license	API / dashboards	30-90 day lag	Global customs
Manual procurement analyst	Email + phone outreach to shortlist	$50-150/hr labor	Spreadsheet	Days-weeks	Whatever the analyst has time to click

Why this combination wins for cross-border buyers:

• MIC directory data is live + buyer-facing-rich (business type, employees, year established, audit status published in HTML). Customs-data tools have lag and are mostly US-import-focused.
• This actor's $0.05 / record pricing means a full 500-supplier category sweep costs $25 — vs a $99-$799 monthly subscription floor on customs-data tools.
• Output is structured CSV / JSON — drop straight into Airtable, Pipedrive, HubSpot, Notion, SAP Ariba supplier-list imports. MIC's own UI exports are gated by their subscription tier and are messy to post-process.
• For shipment verification (does this supplier actually export containers? to whom? at what volume?), pair this with ImportYeti. MIC supplier shortlist → customs-data verification → email enrichment → sample request → factory audit is the canonical cross-border sourcing funnel.

Tips for highest-quality supplier lists

1. Stack the trust filters. Set verifiedOnly: true AND auditedOnly: true AND a province filter for serious procurement. The audited-supplier subset on MIC is the highest-trust public tier short of paying for SGS / Bureau Veritas inspection ($800-3,000 per factory).
2. Search English-first, narrow keywords. MIC's directory is English-indexed. Better: 5 queries × 50 results = 250 records covering "monocrystalline solar panel", "polycrystalline solar panel", "solar module 400W", "solar inverter", "solar mounting bracket". Worse: one "solar" query × 250 results — pollutes with unrelated SKUs.
3. Diversify by province. Don't pull 100% Guangdong suppliers — supply-chain resilience requires geographic redundancy. Run separate queries per province (Guangdong, Zhejiang, Jiangsu, Shandong, Fujian) and merge the CSVs.
4. Pair with email enrichment. Run the supplier URLs through Website Email Extractor and Company Email Finder — 50-70% email-hit rates off MIC minisites in practice (better than Alibaba).
5. Re-run quarterly. Supplier rosters shift constantly. Schedule a quarterly delta scrape via Apify Scheduler and you'll catch new audited factories, badge upgrades, and response-rate drops (an early defection signal) before competitors do.
6. Cross-reference with demand signals. Combine with China Trends Tracker and Weibo Hot Search Tracker to find categories where supplier supply is rising faster than consumer demand (commoditizing — avoid) vs. demand rising faster than supply (arbitrage window — enter).

Integration: Apify schedules + webhooks

Schedule this actor to run weekly / monthly via Apify Scheduler — get a fresh CSV emailed to your procurement team every Monday morning. Or use Apify's webhook integration to push new dataset items into:

• Airtable — automatic supplier-shortlist tab with audit-status column
• HubSpot — auto-create company records with years_on_platform, business_type, employees_range as custom properties
• Slack — daily "5 new audited valve manufacturers in Zhejiang" alert to your sourcing channel
• Google Sheets — live dashboard for procurement leadership

Related actors from NexGenData

• JD.com Product Scraper 🇨🇳🛒 — Retail-side China e-commerce intelligence (京东). Use alongside this actor to cover both B2B (MIC) and B2C (JD.com) Chinese markets.
• China Trends Tracker 🇨🇳📈 — Baidu / Weibo / Douyin trending topics for category demand signals.
• Weibo Hot Search Tracker 🔥 — Real-time Weibo trending topics + sentiment. Pair with this actor to time category entry against viral demand.
• B2B Leads Finder 🎯 — Verified B2B contact emails by company / job title (Apollo / ZoomInfo alternative).
• Company Email Finder 📧 — Domain-pattern + public-source email finder for supplier outreach.

Try the full NexGenData fleet

281+ scrapers, lead-gen tools, MCP servers, and analytics actors at apify.com/nexgendata.

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🇨🇳 Built by NexGenData. Questions, custom Made-in-China data feeds, or enterprise pricing? Reach us through the Apify Console or visit thenextgennexus.com.