How to Scrape YouTube Influencer Discovery — Free No-Code Guide (2026)

#youtube #webscraping #api #python

If you need to pull YouTube Influencer Discovery data at scale and there's no clean official API, this guide shows how to export it to JSON, CSV or Excel in a couple of minutes — with no scraping code to maintain.

We'll use the YouTube Influencer Discovery — Channels, Emails & Engagement, a hosted scraper on the Apify platform. You only need a free Apify token — no YouTube Influencer Discovery login, no proxies, no reverse-engineering.

What data you get

Each run returns structured records with fields like:

channelTitle
subscriberCount
avgRecentViews
engagementRatePct
email
handle
channelUrl
channelId
subscriberCountText
medianRecentViews
videosAnalyzed
latestVideoPublished
emails
socialLinks

Results are paginated automatically — you can pull thousands of rows per run and export them as JSON, CSV, Excel, JSONL or XML.

Option 1 — No code (Apify Console)

Open the actor: https://apify.com/logiover/youtube-influencer-discovery-scraper
Click Try for free.
Leave the input empty for a broad sample, or set the fields below.
Run it, then Export the dataset as CSV/JSON/Excel.

Option 2 — Node.js

npm install youtube-influencer-discovery-scraper

const scrape = require("youtube-influencer-discovery-scraper");

(async () => {
  const items = await scrape({}, { token: process.env.APIFY_TOKEN });
  console.log(items.length, "results");
  console.log(items[0]);
})();

Option 3 — Python

pip install youtube-influencer-discovery-scraper

from youtube_influencer_discovery_scraper import scrape

items = scrape({}, token="YOUR_APIFY_TOKEN")
print(len(items), "results")
print(items[0])

Grab a free token at https://console.apify.com/account/integrations.

Input options

Field	Type	What it does
`searchQueries`	array	Niche keywords (discovery)
`niche`	string	Niche preset (used if no keywords given)
`channels`	array	Channels (direct enrich)
`region`	string	Region
`language`	string	Language
`sortBy`	string	Sort results by
`maxChannelsPerQuery`	integer	Max channels per query
`recentVideosForStats`	integer	Recent videos sampled for stats
`minSubscribers`	integer	Min subscribers
`maxSubscribers`	integer	Max subscribers
`requireEmail`	boolean	Only channels with an email
`maxResults`	integer	Max results

Common use cases

Build a fresh YouTube Influencer Discovery dataset for analysis or dashboards
Feed YouTube Influencer Discovery records into your own app, CRM or spreadsheet
Monitor changes on a schedule and get alerts via webhooks
Enrich leads or research with up-to-date YouTube Influencer Discovery data

Automation & export

Because it runs on Apify, you can schedule it, trigger it via webhook, and pipe results into Google Sheets, S3, Zapier, Make or n8n. Every run's dataset is downloadable as CSV, JSON, JSONL, Excel or XML.