YOUTUBE DATA API

YouTube data jobsthrough one API

Submit a video ID or public URL, request metadata, captions, and comments, then receive long-running results through job status, webhooks, or project-scoped object storage.

Request API access View API example

REST API and JSONAsync jobs and webhooksMetadata, captions, commentsS3, OSS, or GCS delivery

youtube data jobapi ready

YouTube Data API123Proxy data network

Video metadataMETADATA

CaptionsSUBTITLES

CommentsCOMMENTS

Media filesOBJECT STORAGE

API requestREQUEST

Async jobJOB

Webhook / storageDELIVERY

INTERFACEREST / JSON

MODESync / async

DELIVERYWebhook / Storage

REST APIStructured JSON

ASYNC JOBBatch processing

WEBHOOKCompletion events

S3 / OSS / GCSObject delivery

YouTube Data API

API capability Workloads Job architecture Product boundary Validation API integration FAQ

01 / API capability

Manage data jobs,not proxy and download clusters

The API wraps public data access, task state, and result delivery. Your application owns input manifests, validation, deduplication, and downstream governance.

Video metadata

Request title, description, tags, and available public statistics by video ID or public URL.

Captions and transcripts

Request available caption languages and timing fields, subject to the issued API schema.

Comments and replies

Collect public comment threads while preserving available hierarchy and timestamps.

Object-storage delivery

Deliver project-scoped media objects to S3, OSS, or GCS after format and resolution validation.

02 / Workloads

For video knowledge bases,multimodal corpora, and research

Long-running work enters an asynchronous queue that integrates with existing pipelines through job IDs, state, and webhooks.

Video knowledge and RAG

Create traceable documents from public metadata, captions, and source fields.

Focus: fields and provenance

Multimodal datasets

Keep video, audio, captions, and metadata connected by stable identifiers.

Focus: object relationships

Comment research

Collect public comments and replies with hierarchy and available time fields.

Focus: structure

03 / Job architecture

Integrate the API as a job state machine

Lightweight fields may return quickly, while deeper comments, batches, and media delivery should run asynchronously without blocking application workers.

Define the job

Submit a video ID or public URL, requested fields, and delivery settings.

Authenticate and deduplicate

Pass the API key in a header and use an idempotency key.

Poll or receive a webhook

Persist the job ID and handle running, completed, and failed states.

Validate the result

Check fields, object relationships, errors, and storage delivery.

API job architecture123Proxy network

API clientREQUEST

Job queueJOB

Collection serviceWORKERS

Webhook / storageDELIVERY

InterfaceREST / JSON

ExecutionSync / async

DeliveryWebhook / Storage

04 / Product boundary

Use an API instead of operating YouTube proxy and download infrastructure

For teams that need a product interface, the YouTube Data API handles task execution, status, and delivery while customer systems retain business fields and data governance.

API PRODUCT

YouTube Data API

Video ID or public URL jobsMetadata, caption, and comment fieldsBatch jobs and webhooksProject-scoped object storage

Request an API key Contact sales

AuthenticationAPI keyPass through a request header

Task modeSync / asyncSeparate light queries from long jobs

Result formatJSON / webhookTrace state, results, and errors

Media deliveryS3 / OSS / GCSValidate format and resolution per project

05 / Validation

Validate job state, field completeness, and delivery

HTTP 200 alone is not enough. Production monitoring should cover job creation, completion, errors, webhook delivery, and storage writes.

Job creation: Requests that pass authentication and return a job ID
Job completion: Tasks completed within the expected window
Processing latency: P50, P95, and tail time by task type
Field completeness: Required metadata, caption, comment, and relationship fields
Webhook delivery: Successful callbacks, retries, and duplicate-event handling
Object delivery: Consistency between media objects, metadata, and job records

Available fields, quotas, media formats, resolutions, response times, and platform availability are subject to the issued API documentation and representative tests.

06 / API integration

Submit a job, then poll state or receive a webhook

This example follows the endpoint shape from the previous 123Proxy page and moves the API key to a request header. Confirm the production path, schema, and callback signature in the issued documentation.

Pass the API key in a headerUse an idempotency keyPersist job IDs, state, and errors

Python / async taskIntegration example

import requests

response = requests.post(
    "https://api.123proxy.cn/v1/youtube/video",
    headers={"X-API-Key": "YOUR_API_KEY"},
    json={
        "video_id": "VIDEO_ID",
        "features": ["metadata", "subtitles", "comments"],
        "delivery": {
            "webhook_url": "https://collector.example/webhooks/youtube",
            "upload_to": "s3://my-bucket/videos/"
        },
        "idempotency_key": "dataset-2026-0001"
    },
    timeout=30,
)
response.raise_for_status()
job = response.json()
print(job["job_id"], job["status"])

07 / FAQ

Questions to confirm before production access

Validate fields, job state, webhooks, and object delivery with representative videos.

What YouTube data can the API return?

The previous page covered video metadata, captions or transcripts, and public comments and replies. Available fields, sorting, languages, and pagination are defined by the issued API documentation.

Which requests are synchronous or asynchronous?

Light metadata requests may return directly. Deep comments, batches, and media delivery are better handled as asynchronous jobs, subject to the production API schema.

Can media be delivered to S3, OSS, or GCS?

The previous page described direct object-storage delivery. Supported storage types, formats, resolutions, credentials, and naming must be validated for the project.

Do API customers need to operate their own proxies?

No separate proxy pool is required for this API. 123Proxy wraps data access and task execution; customers still own lawful inputs, validation, storage, and governance.

How should duplicate jobs and callbacks be handled?

Use an idempotency key, persist job IDs, and treat webhooks as retryable events. Confirm signing and retry behavior in the issued documentation.

How do we request an API key and test quota?

Share the task types, requested fields, volume, delivery method, and completion window with sales to scope a test key and quota.

How should rate limits or temporary failures be handled?

Apply exponential backoff based on returned status and errors, cap client concurrency, and log retries. Production quotas and error codes are documented with access.

What are the compliance boundaries?

Process only lawfully accessible public content with a valid use basis and follow platform terms, intellectual-property, privacy, and applicable legal requirements.

Validate the API with representative video jobs

Share sample videos, requested fields, daily volume, and webhook or object-storage requirements to request test access.

Request API access Contact sales