Not one parser, but a set of working scenarios
The template covers search, feeds, channels, videos, comments, playlists, posts, downloads and API-key checking from one ZennoPoster interface.
YouTube-Parser
A ZennoPoster template for efficient YouTube data collection, analysis and downloading.
Collect statistics and metadata for videos, channels, playlists, live streams, comments, posts, search results, suggestions, trends, Shorts, contacts and downloadable content in a controlled workflow for ZennoPoster or ZennoBox.
- 18
- parsing taskssearch, channels, videos, comments, posts, downloads and API
- 2 API
- collection methodsofficial YouTube API v3 and internal InnerTube API
- 6
- input listsqueries, channels, videos, playlists, posts and thumbnails
- XLSX
- result tablesinformative reports with filters for further analysis
Key difference
Data, contacts and files in one template
YouTube-Parser is useful when you need more than manually opening dozens of pages: it creates repeatable tables, filters results and downloads public content from different areas of YouTube.
Collects more than links
Reports can include metadata, statistics, contacts, social links, comments, subtitles, thumbnails and other public YouTube data.
Uses two data sources
YouTube API v3 is useful for stable bulk collection, while InnerTube API extends coverage for Shorts, trends, posts, social links and downloading.
Parsing scenarios
Five working areas instead of one narrow script
Input settings are split into task-focused tabs, and every task uses expected input files. You can quickly switch between search, channels, videos, playlists, posts and downloading.
Open task overviewSearch results, suggestions, trends and Shorts
Collect videos, channels and playlists by search queries, expand keyword lists with suggestions, check country trends and export the Shorts feed.
Channels, contacts and social links
Collect channel metadata, statistics, subscriptions, emails from descriptions, public social links and filter channels by subscribers, views, year and country.
Videos, comments, playlists and posts
Parse video metadata, comments, similar videos, playlists, playlist videos, community posts and comments under posts.
Downloading and content copying
Save videos, channels, thumbnails and subtitles to the device, choose quality, stream type, subtitle language and create a table of downloaded content.
Filtering, duplicates and reports
Control limits, region, language, proxies, API keys, duplicate removal and structured tables for Excel analysis.
Features
A complete YouTube data collection workflow
This page is grounded in the current YouTube-Parser documentation, input-settings export, local template description and the provided interface screenshots.
Search and feeds
- search-result parsing
- search suggestions
- country trends
- Shorts feed
- hashtag search
Channels
- channel metadata
- channel subscriptions
- emails from descriptions
- social links
- country and statistics filters
Videos and comments
- video metadata
- video comments
- similar videos
- monetization indicators
- text and regex filtering
Playlists and posts
- playlist metadata
- videos inside playlists
- community posts
- post comments
- channel and link inputs
Downloading
- video and audio
- thumbnails
- subtitles
- channel downloads
- channel content copying
Technical control
- YouTube API v3
- InnerTube API
- API keys and proxies
- duplicate removal
- result tables
Interface
Settings are grouped by real template tabs
The screenshots show three key product zones: search collection, channel metadata and content downloading through InnerTube API.
Search results
YouTube API v3 and InnerTube API filters: data type, sorting, dates, categories, quality, subtitles, live streams, region and language.
Channels and contacts
Channel metadata, emails from descriptions, social links, subscriptions and filters by subscribers, views, year and countries.
YouTube downloading
Video, channel, subtitle and thumbnail downloading through InnerTube API with quality, stream, limit and report-table settings.
Workflow
From input list to result table
The value of Parser is not one request to YouTube, but a repeatable sequence: prepare lists, configure the scenario, run collection and review output.
01
Choose a task
On the configuration tab, select the work method and one scenario: search, channels, videos, comments, playlists, posts, downloads or API checking.
The current run has a clear goal02
Prepare input lists
Fill the required files: search queries, channels, videos, playlists, posts, thumbnails, API keys or proxies.
The data is in the expected structure03
Configure filters
Set data type, limits, dates, countries, language, download quality, regex, InnerTube API delay and duplicate handling rules.
Collection matches the task and limits04
Run ZennoPoster or ZennoBox
The template processes input-list rows, calls the selected API, stores intermediate data and creates the result.
Manual browsing becomes a repeatable process05
Review tables and files
Use Results for Excel analysis, Downloads for downloaded content and reports for further processing or upload workflows.
You have structured output to work withAudience
For teams that work with YouTube data systematically
The product is built for recurring tables, contacts, metadata and materials across large lists, not for looking at a couple of videos once.
SEO specialists
For finding topics, expanding semantics, analyzing search results and collecting channels or videos across large query sets.
Marketers and outreach teams
For collecting public channel contacts, social links, statistics and tables for later filtering.
Content teams
For exporting subtitles, thumbnails, videos, playlists and studying how competitors package and distribute content.
Automation specialists and analysts
For repeatable YouTube data collection without building a custom parser, report system and downloader pipeline.
Requirements
What is needed to run it
YouTube-Parser runs in a Windows environment through ZennoPoster or ZennoBox. Microsoft Excel is needed for working with result tables and reports.
AutomationZennoPoster or ZennoBox 7.8.0.0 and newer: Lite, Standard or Pro
OSWindows 10
Platform.NET Framework 4.8 and 3.5
TablesMicrosoft Excel for viewing and filtering result tables
HardwareIntel i3-level processor or better, 4 GB RAM or more
Hostinglocal PC, VPS, VDS or Dedicated server
FAQ
Common questions before launch
Short answers about collection methods, contacts, downloads, results, filters and environment.
What is YouTube-Parser?
It is a ZennoPoster template for efficient YouTube data collection and analysis: search results, channels, videos, comments, playlists, posts, trends, Shorts, subtitles, thumbnails and public contacts.
Which collection methods are supported?
The template supports official YouTube API v3 and InnerTube API. YouTube API v3 is useful for stable bulk collection through API keys, while InnerTube API covers tasks the official API does not expose.
Can it collect emails and social links?
Yes. The template can extract emails from channel descriptions and public social links when the channel owner has published them in available channel data.
What can be downloaded?
It can download videos, audio, channels, thumbnails and subtitles. Video downloads include stream type, quality and per-channel limit settings.
How are results saved?
Main results are saved as informative tables in the Results folder. Downloaded files go to Downloads or to a user-defined folder.
Can data be filtered before saving?
Yes. Depending on the task, filters can use data type, dates, views, subscribers, countries, comment text, regex, likes and other parameters.
Are API keys and proxies required?
API keys are required for tasks that run through YouTube API v3. Proxies are mostly relevant for large InnerTube API runs to reduce limitations and captcha risk.
Can ZennoBox be used instead of ZennoPoster?
Yes. ZennoPoster is used for editing and development, while ZennoBox is suitable for running the finished product without custom template development.
Ready to automate YouTube data collection?
Read the documentation, check licensing options or contact us directly to choose a YouTube-Parser scenario for your task.