Dataify YouTube Comment By ID

Collect YouTube Comment By ID data and return results

Submit YouTube comment collection jobs through Dataify Builder by video ID. 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 without asking the user to re-enter the token.
• If the user does not have an API TOKEN, tell them they can register or log in at Dataify to get one.
• If the user wants to save it, give the appropriate command for their shell and ask them to run it; do not silently persist tokens without confirmation.
• 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:

powershell

$env:DATAIFY_API_TOKEN = "YOUR_DATAIFY_API_TOKEN"

For a persistent user-level variable on Windows:

powershell

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

Core Workflow

2. Ask whether the user wants to change any value before running the task.
3. Ask whether the user wants to collect multiple YouTube comment groups. If yes, ask for multiple video_id, load_replies, and num_of_comments groups.
4. Normalize the final values into a list of parameter objects.
5. Validate each video ID, numeric value, and file name.
6. Submit a Builder request to create the task.
7. Read data.task_id from the Builder response and read data.status or status when present.

Parameter Checklist

Field	Required	Default	Notes
video_id	Yes	8RePenzQH80	Unique YouTube video ID used to identify the video whose comments should be collected.
load_replies	Yes	10	Integer greater than or equal to 0. Time used when loading replies on the page.
num_of_comments	Yes	10	Integer greater than or equal to 0. Number of comments to collect.
file_name	No	{{TasksID}}	Builder form field. Use the default when the user does not change it.

Also ask: "Do you want to collect multiple YouTube comment groups? If yes, provide multiple groups of video_id, load_replies, and num_of_comments."

If the user has already provided some values, show those values in place of the defaults and only ask whether the remaining/defaulted values should be changed.

Parameter Handling

• Trim leading and trailing whitespace from video_id.
• video_id cannot be empty.
• load_replies is required. Default: 10. It must be an integer greater than or equal to 0.
• num_of_comments is required. Default: 10. It must be an integer greater than or equal to 0.
• file_name defaults to {{TasksID}}. If the user changes it, submit the user-provided value.
• file_name cannot be empty.
• Submit numeric values as strings to match the Builder examples, for example "load_replies":"10" and "num_of_comments":"10".
• Submit spider_parameters as a JSON string containing an array of one or more objects.

Single-group example:

json

[{"video_id":"8RePenzQH80","load_replies":"10","num_of_comments":"10"}]

Multi-group example:

json

[{"video_id":"8RePenzQH80","load_replies":"10","num_of_comments":"10"},{"video_id":"dQw4w9WgXcQ","load_replies":"10","num_of_comments":"20"}]

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_id=youtube_comment_by-id
  • spider_errors=true
• 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_comment_by_id.py with Python 3.6 or newer instead of rewriting the Builder flow.

powershell

python3 ".\scripts\submit_dataify_youtube_comment_by_id.py" --video-id "8RePenzQH80"

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 default parameters for one run:

powershell

python3 ".\scripts\submit_dataify_youtube_comment_by_id.py" --video-id "8RePenzQH80" --load-replies 10 --num-of-comments 10 --file-name "{{TasksID}}"

To submit multiple groups, pass a JSON array:

powershell

python3 ".\scripts\submit_dataify_youtube_comment_by_id.py" --params-json '[{"video_id":"8RePenzQH80","load_replies":"10","num_of_comments":"10"},{"video_id":"dQw4w9WgXcQ","load_replies":"10","num_of_comments":"20"}]'

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

Troubleshooting

video_id cannot be empty means the required YouTube video ID is missing.

load_replies must be an integer greater than or equal to 0 means the requested reply loading value is invalid.

num_of_comments must be an integer greater than or equal to 0 means the requested comment 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 one object is missing video_id, load_replies, or num_of_comments.

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

Guardrails

• Use only API TOKEN and DATAIFY_API_TOKEN when referring to authentication.
• Do not hard-code local Python paths.
• Do not claim the Builder response contains YouTube comment results.
• 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

bash

python3 scripts/submit_dataify_youtube_comment_by_id.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.