🎣 Google Maps lead generation with Apify & email extraction for Airtable

⚡ 1,278 views · 🎣 Lead Generation & Enrichment

💡 Pro Tip — HTTP Request scraping tends to break when sites update their markup. If you’re scraping a major platform, check if ScraperNode covers it — it has maintained scrapers for LinkedIn, Instagram, TikTok, YouTube, and 20+ other platforms that return structured data.

Description

🧠 What It Does

This n8n workflow collects leads from Google Maps, scrapes their websites via direct HTTP requests, and extracts valid email addresses — all while mimicking real user behavior to improve scraping reliability. It rotates User-Agent headers, introduces randomized delays, and refines URLs by removing only query parameters and fragments to preserve valid page paths (like social media links). The workflow blends Apify actors, raw HTTP requests, HTML-to-Markdown conversion, and smart email extraction to deliver clean, actionable lead data — ready to be sent to Airtable, Google Sheets, or any CRM. Perfect for lean, scalable B2B lead generation using n8n’s native logic and no external scrapers.

💡Why this workflow

Modest lead scrapers rely on heavy tools or APIs like Firecrawl. This workflow:

• Uses lightweight HTTP requests (with randomized user-agents) to scrape websites.
• Adds natural wait times to avoid rate limits and IP bans.
• Avoid full-page crawlers, yet still pulls emails effectively.
• Works great for freelancers, marketers, or teams targeting niche B2B leads.
• Designed for stealth and resilience.

👤 Who it’s for

• Lead generation freelancers or consultants.
• B2B marketers looking to extract real contact info.
• Small businesses doing targeted outreach.
• Developers who want a fast, low-footprint scraper.
• Anyone who wants email + website leads from Google Maps.

⚙️ How It Works

1. 📥 Form Submission (Lead Input)

A Form Trigger collects: - Keyword - Location
- No. of Leads (defaults to 10)

This makes the workflow dynamic and user-friendly — ready for multiple use cases and teams.

2. 📊 Scrape Business Info (via Apify)

• Apify’s Google Maps Actor searches for matching businesses.
• The Dataset Node fetches all relevant business details.
• A Set Node parses key fields like name, phone, website, and category.
• A Limit Node ensures the workflow only processes the desired number of leads.

3. 🔁 First Loop – Visit & Scrape Website

Each business website is processed in a loop.

• A Code Node cleans the website URL by removing only query parameters/fragments — keeping full paths like /contact.
• A HTTP Request Node fetches the raw HTML of the site:
  • Uses randomized User-Agent headers (5 variants) to mimic real devices and browsers. This makes requests appear more human and reduces the risk of detection or blocking.
• HTML is converted to Markdown using the Markdown Node, making it easier to scan for text patterns.
• A Wait Node introduces a random delay between 2-7 seconds:
  • Helps avoid triggering rate limits,
  • Reduces likelihood of being flagged as a bot.
• A Merge Node combines scraped markdown + lead info for use in the second loop.

4. 🔁 Second Loop – Extract Emails

In this second loop, the markdown data is processed.

• A Code Node applies regex to extract the first valid email address.
• If no email is found, “N/A” is returned.
• A brief 1 second Wait Node simulates realistic browsing time.
• Another Merge Node attaches the email result to the original lead data.

5. ✅ Filter, Clean & Store

• A Filter Node removes all entries with “N/A” or invalid email results.
• A Set Node ensures only required fields (like website, email, and company name) are passed forward.
• The clean leads are saved to Airtable (or optionally, Google Sheets) using an upsert-style insert to avoid duplicates.

🛡️ Anti-Flagging Design

This workflow is optimized for stealth:

• No scraping tools or headless browsers (like Puppeteer or Firecrawl).
• Direct HTTP requests with rotating User-Agents.
• Randomized wait intervals (2-7s).
• Only non-intrusive parsing — no automation footprints.

🛠 How to Set It Up

Open n8n (Cloud or Self-Hosted). Install Apify node

• search Apify and click on Install. Do this before importing your file.

Import the provided .json file into your n8n editor. Set up the required credentials:

• 🔑 Apify API Key (used for Google Maps scraping)
• 🔑 Airtable API Key (or connect Google Sheets instead)

Recommended

• Prepare your Airtable base or Google Sheet with fields like: Email, Website, Phone, Company Name.
• Review the Set node if you’d like to collect more fields from Apify (e.g., Ratings, Categories, etc.).

🔁 Customization Tips

• The Apify scraper returns rich business data. By default, this workflow collects name, phone, and website — but you can add more in the “Grab Desired Fields” node.
• Need safer scraping at scale? Swap the HTTP Request for Firecrawl’s Single URL scraper (or any headless service like Browserless, Oxylabs, Bright Date, or ScrapingBee) — they handle rendering and IP rotation.
• Want to extract from internal pages (like /contact or /about)? Use Firecrawl’s async crawl mode — just note it takes longer.
• For speed and efficiency, this built-in HTTP + Markdown setup is usually the fastest way to grab emails.

🔗 Nodes Used

Airtable, HTTP Request, Markdown, Filter, n8n Form Trigger

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup