Youtube B2b Email Scraper

Youtube B2b Email Scraper

Youtube B2b Email Scraper is a focused YouTube prospecting tool for emails that discovers publicly listed business emails from Google search results that point to YouTube pages. It solves the manual, time-consuming task of finding YouTube channel contact emails by automating Google SERP searches and extracting addresses right from the results. Built for marketers, sales teams, agencies, data analysts, and researchers, this YouTube B2B email scraper scales lead discovery across multiple keywords with domain filters and location context—so you can export qualified YouTube business leads and accelerate outreach.

What data / output can you get?

This actor pushes structured rows to the Apify Dataset only when a valid email is detected in the result. Each record includes the fields below.

Data type	Description	Example value
network	Network label derived from the selected platform	"Youtube.com"
keyword	The keyword that produced the result	"marketing"
title	Title of the Google result for a YouTube URL	"About - Acme Marketing - YouTube"
description	Google result snippet (may include contact text)	"Contact: partnerships@acme.co — Acme Marketing official channel."
url	Direct link to the YouTube URL found in search results	"https://www.youtube.com/@acmemarketing/about"
email	Email extracted from the Google result block	"partnerships@acme.co"

Notes:

• Only rows with a non-empty email are saved.
• Some snippets may have an empty description depending on the Google result.
• Download results from the Apify dataset in common formats such as JSON, CSV, or Excel.

Key features

• 🔎 SERP-based YouTube email discovery
  Searches Google with a targeted site:youtube.com query and extracts emails directly from result snippets—ideal for a YouTube channel email extractor workflow without page-by-page crawling.

• 🎯 Domain filtering for precision
  Use the emailDomains filter to include only addresses from specified domains (e.g., corporate emails) for a sharper YouTube business contact email finder.

• 📍 Location-aware search queries
  Optionally inject a location term into the query (e.g., "London") to guide discovery for region-focused lead generation.

• 📈 Per-keyword limits with smart paging
  Control volume with maxEmails per keyword and automatic paging until results dry up—designed for scalable YouTube contact scraper for lead generation pipelines.

• 🔐 Resilient proxy strategy
  Uses the Apify GOOGLE_SERP proxy group with randomized headers and retries to reduce blocks when querying Google.

• ⚡ Real-time dataset streaming
  Results are pushed as they’re found via Actor.push_data, enabling faster feedback loops and incremental exports.

• 🧰 Developer-friendly, automation-ready
  Accepts clean JSON input and produces structured JSON output fields. Integrate via the Apify API to export YouTube leads to CRM or automate downstream workflows.

• 🗂️ Clean, deduplicated results per page
  Deduplicates URLs per page and saves only emails—boosting quality for YouTube email finder for sales use cases.

How to use Youtube B2b Email Scraper - step by step

1. Sign in to Apify and open the “youtube-b2b-email-scraper” actor.
2. Add your input in JSON or via the UI:
   • Enter one or more keywords under keywords (e.g., “marketing”, “founder”).
   • Optionally set emailDomains (e.g., ["@acme.com", "@company.com"]) to focus on corporate emails.
   • Optionally add a location string (e.g., "New York") to guide regional discovery.
   • Adjust maxEmails to cap the number of emails collected per keyword.
   • Platform defaults to "Youtube" and engine to "legacy".
   • Optionally set proxyConfiguration (the actor uses the Apify GOOGLE_SERP proxy group internally).
3. Click Start to run. The actor will query Google with site:youtube.com filters for each keyword, parse results, and extract emails found in snippets.
4. Watch the logs for progress (per-page status, collected counts, and retry info).
5. Open the Dataset named “Youtube Email Data” and view the “Scraped Emails” table with fields: network, keyword, title, description, url, email.
6. Export your results in JSON/CSV/Excel or pull them via the Apify API for further enrichment.

Pro tip: Use emailDomains to restrict to business domains and pipe the dataset to your CRM or enrichment workflow using the Apify API for a streamlined YouTube outreach email finder pipeline.

Use cases

Use case name	Description
Sales teams — YouTube email finder for sales	Build targeted outreach lists by extracting emails associated with YouTube pages surfaced by your industry or role-based keywords.
Partnerships & influencer outreach	Quickly collect creator or business contact emails from search results that reference YouTube channels to accelerate collaboration.
B2B marketers — YouTube business leads scraper	Generate qualified leads by combining marketing keywords and domain filters to focus on company addresses.
Agencies — Export YouTube channel emails	Automate recurring discovery and export to CSV/JSON for campaign launches and client reporting.
Data enrichment via API	Feed structured records (network, keyword, title, description, url, email) into internal pipelines or data warehouses programmatically.
Academic & market research	Analyze sectors, geographies, or niches by pairing keywords and location settings to collect sample contact points at scale.

Why choose Youtube B2b Email Scraper?

This solution prioritizes precision and reliability by focusing on emails visible in public Google SERPs for YouTube URLs.

• ✅ Quality-first extraction: Saves only results with detected emails for cleaner datasets.
• 🎯 Targeting controls: Filter by emailDomains and add a location string to refine results.
• 📏 Scalable limits: maxEmails per keyword with automatic paging and sensible stop conditions.
• 🧪 Developer access: Structured JSON in/out and easy exports via the Apify platform.
• 🛡️ Safe & public-source approach: Works from public search results; no login or cookies needed for YouTube.
• 💼 More reliable than extensions: Server-side actor with managed proxies outperforms fragile browser-based tools.
• 🔁 Automation-ready: Connect the dataset to BI tools, enrichment jobs, or “Export YouTube leads to CRM” workflows.

In short, it’s a focused YouTube outreach email finder that balances accuracy, control, and scale.

Is it legal / ethical to use Youtube B2b Email Scraper?

Yes—when used responsibly. This actor queries public Google search results and extracts emails visible in those result blocks that reference YouTube URLs. It does not log into accounts or access private data.

Guidelines for compliant use:

• Only use publicly available information and avoid misuse of personal data.
• Respect Google and YouTube terms of service and applicable data laws (e.g., GDPR/CCPA).
• Use collected emails for legitimate business purposes and avoid unsolicited spam.
• Consult your legal team for edge cases and jurisdiction-specific requirements.

Input parameters & output format

Example JSON input

{
  "keywords": ["marketing", "founder"],
  "platform": "Youtube",
  "location": "London",
  "emailDomains": ["@acme.com", "@company.com"],
  "maxEmails": 25,
  "engine": "legacy",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

Input fields

• keywords (array, required): List of keywords to search for on Youtube (e.g., ['marketing', 'founder', 'business']). The actor will search Google for Youtube profiles/posts containing these keywords and extract email addresses. Default: not set.
• platform (string): Select platform. Allowed values: ["Youtube"]. Default: "Youtube".
• location (string): Optional: Add location to search query (e.g., 'London', 'New York'). Leave empty to search globally. Default: "".
• emailDomains (array): Optional: Filter results to only include emails from specific domains (e.g., ['@gmail.com', '@outlook.com']). Leave empty to collect all email domains. Default: not set.
• maxEmails (integer): Maximum number of emails to collect per keyword. Minimum: 1, Maximum: 5000. Default: 20.
• engine (string): Choose scraping engine. Legacy: Uses GOOGLE_SERP proxy with traditional selectors. Allowed values: ["legacy"]. Default: "legacy".
• proxyConfiguration (object): Choose which proxies to use. By default, no proxy is used. If Google rejects or blocks the request, the actor will automatically fallback to datacenter proxy, then residential proxy with 3 retries. Default: {"useApifyProxy": false}.

Example JSON output

[
  {
    "network": "Youtube.com",
    "keyword": "marketing",
    "title": "About - Acme Marketing - YouTube",
    "description": "Contact: partnerships@acme.co — Acme Marketing official channel.",
    "url": "https://www.youtube.com/@acmemarketing/about",
    "email": "partnerships@acme.co"
  }
]

Notes:

• The actor only pushes rows with a non-empty email to the dataset.
• description may be empty when the Google snippet lacks content.

FAQ

Do I need an Apify account to use this YouTube B2B email scraper?

Yes. You run the actor on the Apify platform. Once signed in, you can configure inputs, start a run, and export results from the dataset.

Does it scrape YouTube About pages directly?

No. It searches Google for YouTube URLs using your keywords and extracts email addresses found in the Google result blocks. It does not log in or crawl YouTube pages directly.

Can I limit results to corporate emails only?

Yes. Use the emailDomains filter (e.g., ["@acme.com"]) to include only addresses that match specific domains. This is useful for B2B targeting.

How many emails can I collect per keyword?

You control this with maxEmails (default 20, up to 5000). The actor paginates through Google results and stops when it reaches the limit or when pages no longer reveal emails.

What fields are included in the output?

Each saved record contains network, keyword, title, description, url, and email. Only records with a detected email are pushed to the dataset.

Is this a YouTube email scraper Chrome extension?

No. It’s a server-side Apify actor. This design is more reliable and scalable than browser extensions, with managed proxies and structured outputs.

Can I export YouTube leads to my CRM?

Yes. Export the dataset in CSV/JSON/Excel or connect via the Apify API to your pipeline. Many users map the output fields into CRM contact records.

Is it legal to use this YouTube contact scraper for lead generation?

Yes—when you use public data responsibly and comply with terms and data protection laws. The actor works from public Google SERPs and does not access private or authenticated content.

Does it support API or Python integration?

Yes. You can fetch the dataset programmatically using the Apify API and integrate it with your scripts or ETL tools for downstream automation.

Closing CTA / Final thoughts

Youtube B2b Email Scraper is built to automate YouTube outreach email discovery from public Google search results. With keyword-based queries, domain filters, location hints, and structured output, it helps sales teams, marketers, agencies, and researchers build clean, targeted lead lists faster. Developers can integrate via the Apify API to automate exports and sync with internal systems. Start extracting smarter YouTube business leads and scale your outreach with reliable, structured data.