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Dataify YouTube Profiles

该工具是Dataify的YouTube频道采集封装工具,核心支持两种模式:按URL采集指定频道资料,或按关键词+页数搜索相关频道。需配置DATAIFY_API_TOKEN使用,可引导用户选择模式、设置参数,支持提交多组任务,自动监控任务状态,成功后返回JSON格式的采集结果;若任务超时或中断则返回任务ID及恢复指令,可通过Python脚本简化操作。

dataify-server
dataify-server
热度 53.25
最近更新 2026-09-01 17:17:51
分类:数据依赖:代码执行 / 第三方 API / 读写文件应用场景:数据处理 / 研究 / 市场分析

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add dataify-youtube-profiles
Metadata
name
dataify-youtube-profiles
description
Collect YouTube channel or profile records by channel URL or keyword. Do not use for videos, comments, transcripts, or media downloads.

Dataify YouTube Profiles

Submit YouTube profile collection jobs through Dataify Builder and continue through final-result retrieval. This skill is a guided wrapper for two collection modes:

Mode Collector ID Use For
URL youtube_profiles_by-url Collecting one or more specific YouTube channel profile URLs.
Keyword youtube_profiles_by-keyword Searching YouTube channel profiles by keyword and page count.

After submission, continue monitoring the returned task_id and return the final result by default.

API TOKEN Handling

Use DATAIFY_API_TOKEN as the long-term saved token name.

  • If DATAIFY_API_TOKEN is saved locally, use it.
  • Do not call the Builder endpoint without a token.
  • Always call it API TOKEN in user-facing instructions. Prefer the environment variable name DATAIFY_API_TOKEN for saved local use.

PowerShell examples for saving the token for the current session:

$env:DATAIFY_API_TOKEN = "YOUR_DATAIFY_API_TOKEN"

For a persistent user-level variable on Windows:

[Environment]::SetEnvironmentVariable("DATAIFY_API_TOKEN", "YOUR_DATAIFY_API_TOKEN", "User")

Core Workflow

  1. First ask the user to choose a collection mode: URL or Keyword. Show the Mode Selection table.
  2. After the user chooses a mode, show only that mode's parameter table and defaults.
  3. Ask whether the user wants to change any value before running the task.
  4. Ask whether the user wants to collect multiple YouTube profile groups for the selected mode.
  5. Normalize the final values into a list of parameter objects for the selected mode only.
  6. Validate the selected mode, parameters, and file name.
  7. Submit the Builder request with the selected mode's spider_id.
  8. Read data.task_id from the Builder response and read data.status or status when present.

Mode Selection

When the user invokes this skill, first show this Markdown table and ask them to choose one mode:

Label Value
Collect profiles by URL url
Collect profiles by keyword keyword

Ask: "Which collection mode do you want to use: url or keyword?"

Do not submit a Builder request until the mode is clear.

Shared File Name Handling

  • file_name defaults to {{TasksID}}.
  • If the user changes file_name, submit the user-provided value.
  • file_name cannot be empty.
  • Send file_name as a Builder form field.

For detailed mode schemas and advanced fields, read references/modes-and-parameters.md only when needed.

Dataify Builder Request

Use form fields rather than hand-built URL-encoded strings.

  • URL: https://scraperapi.dataify.com/builder?platform=1
  • Method: POST
  • Authorization header: Bearer DATAIFY_API_TOKEN
  • Content type: application/x-www-form-urlencoded
  • Fixed fields:
    • spider_name=youtube.com
    • spider_errors=true
  • Mode-specific field:
    • URL mode: spider_id=youtube_profiles_by-url
    • Keyword mode: spider_id=youtube_profiles_by-keyword
  • Default field:
    • file_name={{TasksID}}
  • Dynamic field:
    • spider_parameters must be a JSON string, not a raw object.

Script

For stable execution, prefer scripts/submit_dataify_youtube_profiles.py with Python 3.6 or newer instead of rewriting the Builder flow.

URL mode:

python3 ".\scripts\submit_dataify_youtube_profiles.py" --mode url --url "https://www.youtube.com/@mrbeast"

Keyword mode:

python3 ".\scripts\submit_dataify_youtube_profiles.py" --mode keyword --keyword "MrBeast" --page-turning 1

If python3 is not available, use the local Python 3 command for that machine, such as python. The script checks the runtime version and tells the user to use Python 3.6 or newer if the active interpreter is too old.

To override the saved environment token or file name:

python3 ".\scripts\submit_dataify_youtube_profiles.py" --mode url --url "https://www.youtube.com/@mrbeast" --file-name "{{TasksID}}"

To submit multiple URL groups:

python3 ".\scripts\submit_dataify_youtube_profiles.py" --mode url --params-json '[{"url":"https://www.youtube.com/@mrbeast"},{"url":"https://www.youtube.com/@YouTube"}]'

To submit multiple keyword groups:

python3 ".\scripts\submit_dataify_youtube_profiles.py" --mode keyword --params-json '[{"keyword":"MrBeast","page_turning":"1"},{"keyword":"cooking","page_turning":"2"}]'

The script prints a JSON summary with mode, spider_id, task_id, status, parameters, file_name and message.

Troubleshooting

Missing Dataify API TOKEN means DATAIFY_API_TOKEN is not set in the environment. Tell the user to get an API TOKEN from Dataify.

Unsupported mode means the mode must be url or keyword.

URL must use https://www.youtube.com means the URL is non-compliant. Ask the user for a URL that starts with https://www.youtube.com, such as https://www.youtube.com/@mrbeast.

keyword cannot be empty means the keyword is missing.

page_turning must be an integer greater than or equal to 0 means the requested page count is invalid.

File name cannot be empty means no usable file_name was provided.

Necessary parameters is empty! usually means the Builder request was not submitted as form fields, spider_parameters was not a JSON string, or the selected mode's object is missing required fields.

Missing task_id usually means the authorization header, token, spider_name, or selected spider_id is wrong.

Guardrails

  • Do not mix URL mode and Keyword mode parameters in the same Builder request.
  • Do not send keyword or page_turning in URL mode.
  • Do not send url in Keyword mode.
  • Do not invent result fields.

Default completion behavior

The default deliverable is the collected result, not only a task_id.

  1. Submit the Builder task once and capture its task_id.
  2. Immediately continue with $dataify-task-operations and monitor the same task ID.
    • Use the default 600-second wait for ordinary collections.
    • Use --timeout 1800 for media downloads or clearly high-volume, multi-page, or multi-input collections.
  3. When the task succeeds, download and return the final JSON result. Summarize large payloads while preserving access to the raw result.
  4. If monitoring times out or is interrupted, return the task ID and a resume command. Do not resubmit the paid task.
  5. Stop after submission only when the user explicitly asks for submission only, a task ID, or --no-wait behavior.

Quick Start

python3 scripts/submit_dataify_youtube_profiles.py --help

Parameter interaction policy

  • For a clear, low-risk, read-only, and low-cost request, apply safe defaults and execute immediately. A short execution summary is optional; do not pause for confirmation.
  • Ask only for a missing required input, a material ambiguity, a high-volume or multi-page scope, a media download, a choice that materially changes credit usage, an irreversible action, or an explicit user request to review parameters.
  • When confirmation is required, show only user-facing values that affect the target, scope, output, or cost. Prefer one concise sentence; use a compact table only when three or more consequential values are easier to compare.
  • Never show fixed fields, empty optional fields, unchanged defaults, credentials, or internal implementation parameters such as engine selectors, response-format flags, offsets, spider IDs, and file-name templates.
  • Keep advanced filters hidden unless the user asks for them or they are needed to resolve ambiguity. Never substitute documentation example values for missing required user input.
  • After returning results, offer relevant refinements instead of forcing all optional decisions before the first result.

Account CTA policy

  • Show a prominent Dataify account CTA only when the API token is missing, rejected/invalid, or the account has insufficient credits.
  • For a missing token, offer https://dashboard.dataify.com/login?utm_source=skill and state: New accounts receive 50 free credits. Never ask the user to paste the token into chat.
  • Detect the current operating system and shell. Show only the matching session-scoped setup command first (export for macOS/Linux shells, $env: for Windows PowerShell, or set for Windows Command Prompt). Show other platforms or persistent setup only when detection is ambiguous or the user asks.
  • After the user says the token is configured, verify only whether DATAIFY_API_TOKEN is present; never print its value. If verification succeeds, continue the original task without asking the user to repeat it.
  • Explain that persistent shell changes may require a new terminal or restarting the agent application. Do not recommend a project .env unless the execution path explicitly loads it, and ensure .env is ignored by version control.
  • For an invalid token, direct the user to API-key management without implying that a new registration is required. For insufficient credits, direct the user to balance or recharge management.
  • During normal submission, processing, and successful completion, do not promote registration or the Dashboard. Never expose the token or include it in CTA attribution parameters.