🚀 Amazon B2B Email Scraper – The Ultimate Amazon B2B Lead Extractor 🔍📧

The Amazon B2B Email Scraper is a powerful automation tool designed to extract verified Amazon B2B emails, contact details, business domains, and product-linked profiles from Amazon listings, seller pages, and content-rich pages. 💼 It automatically scans Amazon pages based on your keywords, country, and Amazon region, helping you discover real Amazon B2B leads at scale.

With this tool, you can quickly build targeted outreach lists, enrich your CRM, and boost your sales pipeline. 🧲 From finding brand contacts to identifying Amazon sellers, this scraper simplifies B2B prospecting—making it a must-have for marketers, agencies, and lead-generation teams looking to dominate Amazon-focused niches.

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📦 What Amazon B2B Email can I extract?

Below is a breakdown of the data types extractable using the Amazon B2B Email Scraper:

Data Type	Description
Amazon B2B Email	Primary business emails found on Amazon-linked pages
Email Domain	Company or brand domain extracted from email
Amazon URL	Product, profile, or listing URL
Page Title	Title extracted from the Amazon page
Description Snippet	Text snippet containing the email
Keyword Source	Keyword used to trigger the search
Country	Target country for scraping
Scrape Source	Amazon region used (e.g., Amazon US)

✨ Perfect for building Amazon B2B lead lists, brand contacts, seller outreach, and more.

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🧾 Input Parameters

Example Input (JSON)

{
  "keywords": ["fitness", "gym", "workout"],
  "country": "United States",
  "scrapeFrom": "Amazon US",
  "engine": "legacy",
  "maxEmails": 20
}

Input Parameters Table

Parameter	Type	Description
keywords	Array	Keywords to search for Amazon emails
country	String	Target country for scraping
scrapeFrom	String	Amazon region (e.g., Amazon US)
engine	String	Select scraping engine: cost-effective or legacy
maxEmails	Integer	Maximum number of emails to extract

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📤 Output Format

Example Output (JSON)

[
  {
    "keyword": "fitness",
    "title": "The Art of Health Podcast",
    "url": "https://www.amazon.com/The-Art-of-Health-Podcast/dp/B0CGXL349Q",
    "description": "Send me your fitness related question...",
    "email": "mail@mariesteffen.com",
    "email_domain": "mariesteffen.com",
    "country": "us",
    "scrape_from": "amazon.com"
  }
]

Output Table

Field	Description
keyword	Keyword used to find the lead
title	Amazon page title
url	Page URL
description	Text snippet where email appeared
email	Extracted email
email_domain	Domain of the email
country	Target country
scrape_from	Amazon region used

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⭐ H3: Key Features of Amazon B2B Email Scraper 🔥

Here are the standout features that make this tool your go-to Amazon B2B Email Extractor:

• ⭐ Smart Keyword-Based Discovery – Input keywords like “fitness,” “gym,” or “workout” to uncover Amazon emails tied to niche products or brands.

• 🌍 Multi-Country Targeting – Choose from 100+ countries for ultra-targeted scraping.

• 🛒 Amazon Region Selection – Scrape from Amazon US, UK, India, Germany, Canada, and more.

• ⚙️ Dual Scraping Engines –

  • Cost-Effective Engine: Fast, async, and proxy-optimized.
  • Legacy Engine: More stable and reliable for deep, traditional scraping.

• 📧 Max Email Control – Set how many emails you want (1–10,000).

• 🔐 Clean, Structured Output – JSON format ideal for CRMs, enrichment tools, or spreadsheets.

• 🚀 High Scalability – Process thousands of keywords and URLs automatically.

• 🧩 Zero Coding Required – Simple UI with just keyword + country + Amazon region input.

This scraper is engineered for marketers, Amazon consultants, agencies, SaaS founders, and anyone needing Amazon B2B leads fast.

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🛠️ How to use Amazon B2B Email Scraper (Step-by-Step) 📘

Follow this simple guide to start extracting Amazon B2B emails in minutes:

1. 🔐 Log in to Apify Create an account (free) or sign in.

2. 🔍 Select the Actor Search for “Amazon B2B Email Scraper” in the Apify Marketplace.

3. ✏️ Enter Input Data Add keywords such as “fitness,” “gym,” or “workout” to the keywords field.

4. 🌍 Choose Country & Amazon Region Example: United States + Amazon US.

5. ⚙️ Pick Your Engine

   • Legacy (more stable), or
   • Cost-effective (faster, cheaper).

6. 📧 Set Max Emails Choose how many total emails you want.

7. ▶️ Run the Actor The scraper automatically extracts Amazon emails, titles, descriptions, and contact domains.

8. 📥 Download Your Results Export in JSON, Excel, or Dataset formats.

Easy, fast, and scalable!

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🎯 Use Cases for Amazon B2B Email Scraper

Here’s how businesses use this scraper in real-world scenarios:

• 💼 B2B Lead Generation – Extract brand emails from product listings or podcasts on Amazon.
• 📧 Email Outreach & Sales – Build lists for cold emailing, influencer partnerships, or brand collaborations.
• 📊 Market Research – Analyze which Amazon niches contain more publicly listed emails.
• 🛍️ Seller Outreach – Contact Amazon sellers for partnerships, sourcing, or private-label deals.
• 🧲 Agency Prospecting – Perfect for marketing agencies, SEO firms, and ecommerce consultants.
• 🧵 Content Research – Identify creators, authors, and podcasters with contact details listed on Amazon.
• 🔎 Keyword-Based Lead Mining – Turn niche keywords into targeted Amazon B2B leads.

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💎 Why Choose Us?

• 🚀 Advanced Extraction Logic – Designed specifically to capture relevant Amazon B2B emails quickly.
• 🔒 Reliable & Stable – Built with multiple engine options for flexibility and performance.
• 🌍 Global Support – Scrape Amazon regions worldwide with unmatched coverage.
• 🎯 Precision Targeting – Keyword + country + Amazon region ensures laser-accurate results.
• 📘 Clean Data Output – Ready for CRM import, cold outreach, or analysis.
• 💬 Dedicated Support Team – Fast responses at scrapermindapi@gmail.com.
• 🪄 No Coding Required – User-friendly interface for beginners and professionals.

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📈 How many results can you scrape with Amazon B2B Email Scraper?

The scraper is built for massive scalability, allowing you to extract anywhere from 1 to 10,000 emails per run, depending on your input.

Here’s how we ensure high performance:

• 🔄 Asynchronous request system (when using cost-effective engine)
• 🧱 Robust fallback engine (legacy) for deeper, more consistent scraping
• 🧩 Keyword-driven discovery helps you uncover dozens of unique emails from a single keyword
• 🌍 Multi-country + multi-region scraping helps widen email discovery
• 🛠️ Optimized for both short & long keyword lists
• 📁 Outputs structured JSON perfect for scaling across thousands of keywords

Whether you're generating a small batch of Amazon B2B leads or running enterprise-level campaigns, the scraper handles large datasets effortlessly.

Expect fast performance, low error rates, and highly structured data – perfect for outreach, CRM integration, and mass pipeline building. 🚀

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⚖️ Is it legal to scrape Amazon B2B Email?

Scraping publicly available information is generally legal when done responsibly. However, here are key points to understand:

• ✔️ The scraper only extracts publicly visible emails found on pages accessible to everyone.
• ✔️ It does not bypass logins, paywalls, or restricted areas.
• ⚠️ Always follow local regulations, Amazon’s terms, and email outreach guidelines (e.g., CAN-SPAM, GDPR).
• 📧 Use scraped Amazon B2B emails ethically—avoid spam or misuse.
• 💡 The scraper is a tool; how you use the data determines compliance.

This ensures safe, responsible, and compliant usage of the Amazon B2B Email Scraper.

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❓ FAQ – Amazon B2B Email Scraper

1. Does it scrape private Amazon seller emails?

No. It only extracts publicly visible emails.

2. Can I scrape multiple keywords at once?

Yes! Add as many keywords as you like.

3. Does it work for any Amazon region?

Yes — Amazon US, UK, India, Canada, Germany, and more.

4. What’s the best engine to use?

Use Cost-effective for speed, Legacy for stability.

5. How many Amazon emails can I scrape?

Up to 10,000 per run.

6. Is coding required?

No — everything runs with simple inputs.

7. Can I use the data for outreach?

Yes, but follow local laws and Amazon policies.

8. Does it extract email domains?

Yes — every email includes mapped email_domain.