🏭 Alibaba.com Product Scraper

Pull structured records from Alibaba.com Rental — clean fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines.

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

parseforge/alibaba-com-rental-scraper on Apify. Call: ApifyClient("TOKEN").actor("parseforge/alibaba-com-rental-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: startUrl (array, default [{"url": "https://www.alibaba.com/trade/search?SearchText=bl), maxItems (integer, default 10), searchQuery (string), minPrice (number), maxPrice (number), supplierCountry (string). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~alibaba-com-rental-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations

Collect product listings from Alibaba.com in seconds without coding. Extract prices, supplier details, MOQs, ratings, certifications, and full-resolution images from any Alibaba search or category page. Whether you're sourcing products, monitoring competitor costs, building a product database, or researching supplier options, this Alibaba scraper delivers structured data ready for analysis. Download your Alibaba product data as CSV, JSON, or Excel instantly.

The Alibaba.com Product Scraper collects up to 25 data fields per product including prices, tiers, supplier info, and certifications - with detail page enrichment for comprehensive sourcing intelligence.

✨ What Does It Do

• 🖼️ Product Images - capture full-resolution product photos and gallery URLs for your product database or marketplace listings
• 💰 Price Tiers - extract unit prices, minimum order quantities, and tiered rates to analyze cost structures and MOQ requirements
• 👤 Supplier Details - collect verified supplier names, locations, years in business, and contact information to evaluate partners
• 🏆 Ratings & Reviews - gather product ratings, review counts, and supplier reputation scores to benchmark quality
• 🔒 Trust Signals - extract trade assurance status, certifications, and warranty information to assess product authenticity
• 📋 Product Specifications - gather brand, model numbers, categories, and attributes to build detailed product catalogs

📋 How to Use

No technical skills required. Follow these simple steps:

1. Sign Up: Create a free account with $5 credit
2. Find the Tool: Search for "Alibaba.com Product Scraper" in the Apify Store and configure your input
3. Run It: Click "Start" and watch your results appear

That's it. No coding, no setup, no complicated configuration. Now you can export your data in CSV, Excel, or JSON format.

📊 Data fields

Each record includes: brand, categories, certifications, condition, description, imageUrl, images, leadTime, minOrderQuantity, minPrice, modelNumber, placeOfOrigin, price, priceCurrency, priceTiers, productAttributes, productId, rating, reviews, scrapedAt, supplierLocation, supplierName, supplierRating, supplierType, supplierUrl, supplierVerified, supplierYears, title, tradeAssurance, url, warranty. All 31 field names come from a real production run, so what you see here is what lands in your dataset.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Alibaba.com Product Scraper page on the Apify Store.
3. 🎯 Set input. Configure the input fields in the form (or paste a JSON), then set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Alibaba.com or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

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🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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