Advertising Marketing Agencies Email Scraper

Advertising Marketing Agencies Email Scraper 📬

Advertising Marketing Agencies Email Scraper automates finding and extracting contact information for advertising and marketing agencies, including emails, phone numbers, and social media profiles, from publicly available web data. If you’re building a marketing agency email scraper workflow or looking for a B2B marketing email scraping tool to accelerate lead generation, this actor helps you gather targeted agency contact details faster—saving you hours of manual work and supporting scalable outreach campaigns at the same time.

Whether you’re a marketer, researcher, sales team, or data enthusiast, Advertising Marketing Agencies Email Scraper makes it easier to discover relevant agency leads and enrich them with emails, phones, and social links for faster prospecting and outreach.

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🚀 Why choose Advertising Marketing Agencies Email Scraper?

Feature	Benefit
✅ All-in-one agency contact discovery + website scraping	Extracts emails, phone numbers, and social media profiles for advertising marketing agencies in one run
✅ Reliable extraction with built-in resilience	Includes retries and fallbacks for smoother scraping across websites
✅ Structured dataset output	Produces a consistent dataset with business details plus extracted contacts for easy importing
✅ Scale-ready with limits controls	Lets you target a specific number of businesses with configurable per-location or global limits
✅ Proxy support for stable runs	Helps reduce IP blocks and rate-limit issues during large-scale scraping
✅ Automation-friendly results	Pushes each result to Apify dataset immediately so you can monitor and export efficiently

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🔑 Key features

• 🧠 Email + contact enrichment in one workflow: Extracts scraped_emails, scraped_phones, and scraped_social_media from agency websites
• 🌐 Website-first extraction for higher relevance: Uses each business website to find contact details tied to the agency itself
• 🛡️ Proxy support for reliable scraping at scale: Includes proxyConfiguration support to improve stability during bulk runs
• 🔄 Resilience with retry/fallback behavior: Designed to keep working even when some pages are hard to access
• 📊 Progress and status fields included: Outputs emails_found, pages_scraped, and scrape_status so you can assess quality quickly
• 💾 Real-time dataset saving: Pushes results as it goes (so you don’t lose progress if a run is interrupted)
• 🎯 Targeted limits for predictable lead volume: maxBusinesses plus scrapeMaxBusinessesPerLocation helps you control how many agencies you collect
• 🔗 Social media profile links included: Captures scraped_social_media when available

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📝 Input

Provide input via an input.json file. Example structure:

{
  "googleMapsSearchTerm": "Advertising Marketing Agencies",
  "googleMapsLocation": ["New York"],
  "maxBusinesses": 5,
  "scrapeMaxBusinessesPerLocation": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Input Fields

Field	Required	Description
googleMapsSearchTerm	Yes	The business type or niche for the email scraper (e.g., 'coffee shops', 'dentists'). Prefilled with Advertising Marketing Agencies.
googleMapsLocation	Yes	One or more target geographic locations (e.g., ['Miami, Florida']). You can provide multiple locations to broaden coverage.
maxBusinesses	No	Target number of businesses to find (1–1000). The scraper stops when this target is reached. Default is 5.
scrapeMaxBusinessesPerLocation	No	If enabled, the scraper collects up to maxBusinesses results per location. If disabled, it combines all locations up to a single total limit. Default is false.
proxyConfiguration	No	Proxy settings for scraping. Recommended for large-scale scraping. Default prefill enables proxy support: true.
proxyConfiguration.proxy support	No	Set to true to enable Apify Proxy (recommended for large batches).

Note: The actor description says it extracts contact information including emails, phone numbers, and social media profiles. In addition, it can be run with optional email validation via internal flags (not exposed as separate input fields in the schema provided).

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📦 Output

After execution, the actor saves each business’s result to the Apify dataset as JSON. Each dataset row includes business details plus extracted contact fields such as emails, phones, and social media links.

[
  {
    "street_address": "123 Example St",
    "city": "New York",
    "zip": "10001",
    "state": "NY",
    "country_code": "US",
    "full_address": "123 Example St New York NY 10001 US",
    "website": "https://example-agency.com",
    "avg_rating": 4.6,
    "total_reviews": 120,
    "name": "Example Advertising Agency",
    "place_id": "PLACE_ID_VALUE",
    "phone": "+1 555-0100",
    "lat": 40.7128,
    "long": -74.006,
    "scraped_emails": ["hello@example-agency.com"],
    "scraped_phones": ["+1 555-0101"],
    "scraped_social_media": ["https://www.linkedin.com/company/example-agency/"],
    "emails_found": 1,
    "pages_scraped": 3,
    "scrape_status": "success",
    "email_found": "hello@example-agency.com"
  }
]

Output Fields

Field	Type	Description
name	string	Business name
website	string	Business website (used as the basis for website scraping)
phone	string	Phone number associated with the business listing
full_address	string	Full formatted address string
city	string	City name
state	string	State/region
zip	string	ZIP/postal code
country_code	string	Country code
scraped_emails	array	Array of extracted email addresses from the business website
scraped_phones	array	Array of extracted phone numbers from the business website
scraped_social_media	array	Array of extracted social media profile links from the business website
emails_found	number	Count of emails found on the website
pages_scraped	number	Number of processed URLs/pages during website scraping
avg_rating	number	Average rating value from the business listing
total_reviews	number	Total reviews value from the business listing
lat	number	Latitude from the business listing
long	number	Longitude from the business listing
place_id	string	Listing place identifier
scrape_status	string	Status of website scraping (for example success, failed, no_website, or error)
email_found	string	When at least one email is found, each dataset row is flattened and includes the specific email in email_found
scrape_error	string	Error message when scrape_status indicates failure or error

Export note: You can export the Apify dataset results to JSON/CSV from the dataset tab for analysis and CRM import.

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🧭 How to use Advertising Marketing Agencies Email Scraper (via Apify Console)

1. Open Apify Console
   Log in at https://console.apify.com and go to the Actors section.

2. Find the actor
   Search for Advertising Marketing Agencies Email Scraper and open its actor page.

3. Configure INPUT
   In the INPUT section, set: googleMapsSearchTerm (defaults to Advertising Marketing Agencies) and googleMapsLocation (one or more locations).
   Optionally set maxBusinesses, scrapeMaxBusinessesPerLocation, and proxyConfiguration.

4. Set proxy settings (recommended for scale)
   If you plan to scrape many agencies or multiple locations, use the Proxy configuration options (including proxy support).

5. Run the actor
   Click Run to start. While it runs, watch the logs to see progress and extraction status (including when businesses have no website or when scraping fails for a domain).

6. Review dataset output
   When the run finishes, open the OUTPUT tab and view the dataset named Business Contact Data / view Businesses with Contact Information.

7. Export your results
   Export the dataset to JSON or CSV for outreach lists, data analysis, or pipeline ingestion.

No coding required—get accurate agency email and contact data in minutes with Advertising Marketing Agencies Email Scraper. 🚀

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⚙️ Advanced features & SEO optimization

• 📌 Keyword-targeted agency lead collection: Engineered to excel at agency client lead list scraper and email finder for advertising agencies style workflows using your selected search term and locations
• 🧩 Smart per-location vs global limits: Use scrapeMaxBusinessesPerLocation to control whether each location gets up to maxBusinesses results or whether you keep a single combined cap
• 🌐 Complete lead enrichment: Works as an email database scraper for agencies by combining business listing data (address, rating) with website-based contacts (emails, phones, social links)
• 💾 Immediate dataset saving: Designed to push results promptly so you can monitor progress and reduce rework risk when running large campaigns
• 🛡️ Proxy-ready scraping: Built with proxyConfiguration in mind to support reliable extraction at scale for targeted prospect email scraping

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💡 Best use cases

• 📈 Marketing team lead generation: Build a cold email list building tool for outreach by collecting agency emails plus phones and social links in one workflow
• 🧪 Market research analyst: Quantify advertising and marketing agencies presence by region using city, state, avg_rating, and total_reviews alongside contact details
• 📨 Sales prospecting: Create a sales prospecting email scraping dataset to feed sequences faster with verified structure (emails + email_found per row)
• 🎯 Digital marketing lead extraction: Use it as a digital marketing leads email extractor to enrich campaigns with agency contact channels and social profiles
• 🧰 CRM + pipeline automation: Import results into CRM using consistent fields like website, full_address, scraped_emails, and scrape_status
• 🧾 Agency partnership sourcing: Find prospective partners by scraping agency contacts and building an agency client lead list scraper dataset for BD teams
• 🕵️ Data enrichment for outreach: Improve your prospecting list quality by combining listing details with website-derived contacts (emails, phones, social media)

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🔧 Technical specifications

• Supported Input Formats

  • ✅ JSON input with googleMapsSearchTerm, googleMapsLocation, and optional limits/proxy settings (per the schema)

• Proxy Support

  • ✅ Yes via proxyConfiguration (including proxy support)

• Retry Mechanism

  • ✅ Yes (actor is designed with resilience and fallback behavior during website scraping)

• Dataset Structure

  • ✅ Apify dataset view outputs the fields configured under Business Contact Data, including: name, website, phone, full_address, city, state, zip, country_code, scraped_emails, scraped_phones, scraped_social_media, emails_found, pages_scraped, avg_rating, total_reviews, lat, long, place_id, scrape_status

• Flattening behavior

  • ✅ When emails are found, the actor pushes one row per email_found (and removes scraped_emails / _detailed_emails from that flattened row)

• Limit controls

  • ✅ Uses maxBusinesses to stop after reaching the target
  • ✅ scrapeMaxBusinessesPerLocation controls whether the limit is per location or global

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❓ FAQ

Can I use this for a specific marketing niche beyond advertising marketing agencies?

Yes. You can set googleMapsSearchTerm to a niche or business type you want, while keeping googleMapsLocation for your target geography. This works well for scenarios like a marketing contact email extractor for other agency categories too.

How do the limits work—what’s the difference between maxBusinesses and scrapeMaxBusinessesPerLocation?

maxBusinesses sets the target number of businesses to find (1–1000). If scrapeMaxBusinessesPerLocation is true, you’ll collect up to maxBusinesses results per location. If it’s false, all locations share a single combined cap up to the total limit.

Will I always get emails in the dataset?

No. The dataset includes scraped_emails, and emails_found indicates how many emails were found for that business. Businesses can also have scrape_status values like no_website, failed, or error depending on what happened during website scraping.

What contact fields can I expect besides email?

The actor extracts and outputs scraped_phones and scraped_social_media in addition to scraped_emails, along with website and basic business listing data such as avg_rating, total_reviews, full_address, and place_id.

Does the actor support proxies?

Yes. Use proxyConfiguration and (optionally) proxyConfiguration.proxy support to improve reliability during large-scale scraping.

Do I need to write code to use Advertising Marketing Agencies Email Scraper?

No. You can run it directly in Apify Console by filling out the INPUT fields and then exporting from the dataset output.

How should I use the exported data for outreach?

Treat the output as lead-contact discovery data. The dataset includes email_found per row when emails are present, which makes it easy to build outreach lists. Always ensure your outreach practices comply with applicable privacy laws and platform policies.

Is it legal and compliant to scrape publicly available contact info?

✅ The actor is intended to scrape publicly accessible sources. However, legal compliance (including GDPR/CCPA), consent requirements, and anti-spam regulations are your responsibility. Use the data responsibly and ethically.

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🤝 Support & feature requests

Have questions about Advertising Marketing Agencies Email Scraper or want improvements (for example CSV-friendly formatting, additional enrichment fields, or export options)? 💡 Send a feature request by contacting us at dataforleads@gmail.com.

📧 For support or feedback, email dataforleads@gmail.com.

Your feedback directly shapes the roadmap for this advertising marketing agencies email scraper experience.

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Advertising Marketing Agencies Email Scraper — build targeted agency email lists faster 🚀

If you want the most comprehensive, SEO-optimized way to collect agency contact data for lead generation, Advertising Marketing Agencies Email Scraper is built to help you move from research to outreach at scale.

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Disclaimer

This tool accesses publicly accessible sources. It does not access private profiles, authenticated data, password-protected pages, or any other restricted content.

You are responsible for ensuring your use complies with applicable laws (including GDPR and CCPA where relevant), spam regulations, and the target websites’ terms of service.

For data removal requests, contact dataforleads@gmail.com.

Use this actor responsibly, ethically, and for legitimate purposes only.