YouTube Email Scraper with Apify

Find email addresses and contact information from YouTube channels. Search by keyword or provide channel URLs directly. Useful for influencer outreach, sponsorship, and lead generation.

Actor: futurizerush/youtube-email-scraper

Prerequisites

Set APIFY_API_TOKEN in environment. Get a token at console.apify.com/account/integrations.

Execution Flow

Apify runs are asynchronous. Every request follows 3 steps:

Start a run -- POST to the actor API, receive a run ID and dataset ID
Poll until done -- GET the run status, wait for SUCCEEDED
Fetch results -- GET the dataset items (returns a JSON array)

Typical run time: 30-120 seconds depending on channel count.

Input Parameters

| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | inputMode | string | Yes | "directUrls" or "keywordSearch" | | channelUrls | array of strings | For directUrls mode | YouTube channel URLs | | searchKeywords | array of strings | For keywordSearch mode | Keywords to search channels | | maxChannelsPerKeyword | integer | No | Max channels per keyword. Default: 50 | | maxResults | integer | No | Max total results. Default: 100 | | locale | string | No | Locale for search. Default: "US" |

Mode differences

directUrls -- Scrape specific channels. Requires channelUrls.
keywordSearch -- Find channels by keyword, then extract contacts. Requires searchKeywords.

Complete Example (Python)

import requests, os, time

TOKEN = os.environ["APIFY_API_TOKEN"]
BASE = "https://api.apify.com/v2"

# Step 1: Start the run
response = requests.post(
    f"{BASE}/acts/futurizerush~youtube-email-scraper/runs?token={TOKEN}",
    json={
        "inputMode": "keywordSearch",
        "searchKeywords": ["AI automation"],
        "maxChannelsPerKeyword": 10,
        "maxResults": 10,
        "locale": "US",
    },
)
response.raise_for_status()
run = response.json()["data"]
run_id = run["id"]
dataset_id = run["defaultDatasetId"]

# Step 2: Poll until done
while True:
    status = requests.get(
        f"{BASE}/actor-runs/{run_id}?token={TOKEN}"
    ).json()["data"]["status"]
    if status == "SUCCEEDED":
        break
    if status in ("FAILED", "ABORTED", "TIMED-OUT"):
        raise RuntimeError(f"Run failed: {status}")
    time.sleep(5)

# Step 3: Fetch results (JSON array)
items = requests.get(
    f"{BASE}/datasets/{dataset_id}/items?token={TOKEN}"
).json()

# Filter channels with emails
for channel in items:
    if channel["hasEmails"]:
        print(f"{channel['channelName']} ({channel['subscriberCount']} subs)")
        print(f"  Emails: {', '.join(channel['emails'])}")
        print(f"  URL: {channel['channelUrl']}")

Direct channel URLs

requests.post(
    f"{BASE}/acts/futurizerush~youtube-email-scraper/runs?token={TOKEN}",
    json={
        "inputMode": "directUrls",
        "channelUrls": [
            "https://www.youtube.com/@mkbhd",
            "https://www.youtube.com/@nateherk",
        ],
    },
)

Complete Example (bash)

# Step 1: Start the run
RUN_RESPONSE=$(curl -s -X POST \
  "https://api.apify.com/v2/acts/futurizerush~youtube-email-scraper/runs?token=$APIFY_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"inputMode": "keywordSearch", "searchKeywords": ["AI automation"], "maxChannelsPerKeyword": 10, "maxResults": 10}')

RUN_ID=$(echo "$RUN_RESPONSE" | jq -r '.data.id')
DATASET_ID=$(echo "$RUN_RESPONSE" | jq -r '.data.defaultDatasetId')

# Step 2: Poll until done
while true; do
  STATUS=$(curl -s "https://api.apify.com/v2/actor-runs/$RUN_ID?token=$APIFY_API_TOKEN" \
    | jq -r '.data.status')
  [ "$STATUS" = "SUCCEEDED" ] && break
  [ "$STATUS" = "FAILED" ] || [ "$STATUS" = "ABORTED" ] && echo "Failed: $STATUS" && exit 1
  sleep 5
done

# Step 3: Fetch results
curl -s "https://api.apify.com/v2/datasets/$DATASET_ID/items?token=$APIFY_API_TOKEN" | jq '.'

Output Format

Each item in the results array (field names verified from real API output on 2026-04-11):

{
  "channelName": "Nate Herk | AI Automation",
  "subscriberCount": "645.0K",
  "channelUrl": "https://www.youtube.com/@nateherk",
  "channelDescription": "Hi, I'm Nate Herk. I'm passionate about...",
  "joinDate": "Nov 17, 2013",
  "viewCount": 405328,
  "videoCount": 383,
  "location": null,
  "contactInfo": {
    "emails": ["sponsorships@nateherk.com"],
    "websites": ["https://nateherk.com/"],
    "socialMedia": {}
  },
  "emails": ["sponsorships@nateherk.com"],
  "websites": ["https://nateherk.com/"],
  "socialMedia": {},
  "emailCount": 1,
  "hasEmails": true,
  "descriptionUrls": [],
  "extractedAt": "2026-04-11T06:07:13.204Z",
  "processingSuccess": true,
  "searchKeyword": "AI automation"
}

Note: Field names use camelCase. The emails array is a flat convenience field; the same data is also in contactInfo.emails. Use hasEmails to quickly filter channels that have contact emails.

Error Handling

| Error | Cause | Fix | |-------|-------|-----| | 401 Unauthorized | Invalid or missing API token | Check APIFY_API_TOKEN | | invalid-input: "must be equal to one of the allowed values" | Wrong inputMode value | Use "directUrls" or "keywordSearch" (exact strings) | | No emails found | Channel doesn't list email publicly | Try more channels or different keywords |

Tips

Use hasEmails: true to quickly filter channels with public emails.
subscriberCount is a string (e.g. "645.0K") not a number.
contactInfo contains structured data; emails and websites at root level are flat convenience arrays.
For influencer outreach, search by niche keyword to find relevant channels with emails.
searchKeyword in output tells you which query found each channel (useful with multiple keywords).
No login or YouTube API key required.

Apify YouTube Email Scraper