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YouTube Scraper for CSV Export

This YouTube scraper exports YouTube search result metadata to a structured CSV. Import the workflow into UScraper, edit the search URL, and collect video titles, URLs, channel details, views, publish dates, descriptions, durations, thumbnails, and badges from the results that load in the browser.

Output

CSV

Columns

10

Loading

Bounded scroll

Source

Search results

API key

Not required

At a glance

Export YouTube search results to CSV

Turn YouTube results into rows

Export the fields teams usually copy by hand: video title, watch URL, channel name, channel URL, view count, publish date, description snippet, duration, thumbnail URL, and visible badge text.

Handle infinite scrolling

YouTube results load as the page scrolls. This workflow uses a bounded auto-scroll step that stops when page height stabilizes or the safe scroll limit is reached.

Keep the workflow local

Your search URL and CSV stay in the desktop workflow unless you add your own upload, sync, or sharing step.

Feed research workflows

Use the export for content gap research, creator mapping, topic monitoring, campaign reporting, AI enrichment, or BI cleanup.

Who this is for

YouTube video data use cases

Content marketers

Topic research

Favorable to scraping

Collect ranked videos for a keyword, compare titles and descriptions, then group repeated channels before planning new video briefs.

SEO and growth teams

Search visibility

Favorable to scraping

Export YouTube videos for product, category, or competitor searches and review publish recency, visible engagement, and thumbnail coverage.

Agencies and analysts

Client reporting

Favorable to scraping

Create repeatable YouTube to CSV exports for approved keyword sets without wiring the YouTube Data API or paying per scraped result.

For adjacent workflows, pair this template with the YouTube Video List Scraper, YouTube Transcript Scraper, and Google SERP Scraper. You can also browse the full UScraper template library or install the local desktop app from the download page.


How to use

Run the YouTube scraper workflow

1

Download and import

Download the hosted JSON template and import it into UScraper.

2

Edit the search URL

The Navigate block opens https://www.youtube.com/results?search_query=web+scraping. Replace the query with the topic, brand, product, or creator category you want to research.

3

Confirm the export path

Structured Export creates youtube-scraper.csv with headers. Change the save folder before running client-specific, campaign-specific, or recurring exports.

4

Run the scroll flow

UScraper sets a large browser window, navigates, handles a common consent prompt if present, waits for video cards, scrolls until the loaded page stabilizes, and pauses briefly.

5

Open the output

Review row count, spot-check several video URLs, and open the CSV in Excel, Sheets, a database import, or your analytics workflow.

Output preview

What the CSV export includes

The sample rows below mirror the bundled export shape. Values depend on what YouTube renders for the query, region, language, and browser session.

video_titlevideo_urlchannel_nameviewspublished_datedurationbadge
Web Scraping Tutorial for Beginnershttps://www.youtube.com/watch?v=abc123Automation Lab24K views3 months ago12:41CC
How to Export YouTube Search Resultshttps://www.youtube.com/watch?v=def456No-Code Data School8.7K views2 weeks ago9:08New
YouTube Data Extractor Workflow Demohttps://www.youtube.com/watch?v=ghi789Growth Ops Weekly41K views1 year ago18:20
youtube-scraper.csv
CSV - UTF-8 - Create

Column

video_title

Visible title from the YouTube search result card.

Column

video_url

Watch URL from the result title link.

Column

channel_name

Creator or channel name shown on the card.

Column

channel_url

Channel link when YouTube exposes it in the card.

Column

views

Visible view count text.

Column

published_date

Relative publish date or age label.

Column

description

Snippet displayed under the video result.

Column

duration

Visible video length from the thumbnail overlay.

Column

thumbnail_url

Thumbnail image URL from the result card.

Column

badge

Visible badge text such as CC, New, or other labels when present.

Headers included - one row per loaded YouTube video result

Local template vs APIs and hosted scrapers

UScraper template

Local

API or cloud actor

Cloud
Runtime

Runs in the desktop browser session

Good for reviewable no-code research runs.

Runs on vendor infrastructure or official endpoints

Better for sanctioned high-volume systems.

Output

CSV saved to your chosen folder

Ready for spreadsheets and manual QA.

API responses, dashboards, or cloud exports

Often requires keys, quotas, credits, or account setup.

Privacy

Search terms stay in your local workflow

Useful for sensitive competitor lists.

Queries pass through another service

May need vendor and client approval.


Frequently asked questions

Automating YouTube can conflict with YouTube terms, robots directives, copyright rules, privacy laws, or jurisdiction-specific restrictions even when search listings are publicly visible. Keep runs modest, do not bypass verification, avoid republishing protected content, and get legal review before building commercial datasets.

Before you run

Limits and maintenance notes

Operational guardrails for YouTube exports

Rate limits

Avoid aggressive repeated runs

YouTube may show consent, login, CAPTCHA, or bot-detection pages depending on IP, traffic volume, browser profile, and region. Start with one query before scaling.

Layout drift

Selectors can need maintenance

If titles, thumbnails, or badges start returning blanks, YouTube may have changed the result-card markup. Update the Structured Export columns before using the file in reporting.

Policy

Use the right access path for the job

For production systems that require sanctioned quota-backed access, compare the YouTube Data API search endpoint before relying on desktop scraping.

Get Started

Download and use this template instantly

$50Free

What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

Open-source templates

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

Contribute on GitHub

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