What makes Dataify Amazon Comment notable?

1K downloads. Trust evidence available

How should Dataify Amazon Comment be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Dataify Amazon Comment

Collect Amazon Comment data and return results

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.0k

Updated

Oct 11, 2026

Version

1.3.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.3.0release · observed Sep 1, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17feed8b2qc486skqmjapxmjs86bd4f:dataify-amazon-comment

Install using `clawhub skill install s17feed8b2qc486skqmjapxmjs86bd4f:dataify-amazon-comment` in an isolated environment before connecting it to live workloads.
No published capability contract is available yet, so validate auth and request/response behavior manually.
Review the upstream CLAWHUB listing at https://clawhub.ai/dataify-server/dataify-amazon-comment before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-dataify-server-dataify-amazon-comment/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

45,030 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: dataify-amazon-comment
description: "Collect Amazon product reviews from one or more known product URLs. Use for Amazon review or comment extraction. Do not use for product details, product lists, or seller profiles."
---

# Dataify Amazon Comment

Submit Amazon product review collection jobs by URL through Dataify Builder and continue through final-result retrieval. After submission, continue monitoring the returned `task_id` and return the final result by default.

## Quick Start

**Input:** an Amazon product URL.

```bash
python3 scripts/submit_amazon_comment.py --url "https://www.amazon.com/dp/B0BZYCJK89"
```

The command waits up to 10 minutes and prints the final JSON result. Add `--no-wait` only for submission-only behavior.

If `DATAIFY_API_TOKEN` is missing, log in or register at https://dashboard.dataify.com/login?utm_source=skill. New accounts receive 50 free credits.

## 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:

```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

3. Ask: "Do you want to change any of these values before I submit the task?"
4. Normalize the final values into `url` and `file_name`.
7. Validate the URL and file name.
8. Submit a Builder request to create the task.
9. Read `data.task_id` from the Builder response.

## Parameter Checklist

| Field | Required | Default | Notes |
| --- | --- | --- | --- |
| `url` | Yes | `https://www.amazon.com/HISDERN-Checkered-Handkerchief-Classic-Necktie/dp/B0BRXPR726` | Amazon product URL whose reviews should be collected. |
| `file_name` | No | `{{TasksID}}` | Builder form field. Can be changed by the user. |

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.

## Dataify Builder Request

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

- URL: `https://scraperapi.dataify.com/builder`
- Method: `POST`
- Authorization header: `Bearer DATAIFY_API_TOKEN`
- Content type: `application/x-www-form-urlencoded`
- Fixed fields:
- `spider_name=amazon.com`
- `spider_id=amazon_comment_by-url`
- `spider_errors=true`
- Dynamic fields:
- `spider_parameters` must be a JSON string, not a raw object.
- `file_name` defaults to `{{TasksID}}` and can be changed by the user.

## Script

For stable execution, prefer `scripts/submit_amazon_comment.py` with Python 3.6 or newer instead of rewriting the Builder flow. The script writes and reads

_meta.json

{
  "ownerId": "kn74z5hmmwk21kw8tpphd9w21x86bkdf",
  "slug": "dataify-amazon-comment",
  "version": "1.3.0",
  "publishedAt": 1788253918590
}

skill-card.md

## Description:

Collects Amazon product reviews from known product URLs through Dataify Builder and returns the final collection results.

This skill is ready for commercial/non-commercial use.

## Publisher:

[dataify-server](https://clawhub.ai/user/dataify-server)

### License/Terms of Use:

MIT-0

## Use Case:

External users and developers use this skill to submit Dataify jobs that collect Amazon product review data by product URL and retrieve the resulting JSON.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill uses a Dataify API token for external jobs.

Mitigation: Install and run it only when the Dataify publisher and service are trusted, keep DATAIFY_API_TOKEN in the environment, and never expose the token in chat or logs.

Risk: The skill depends on a sibling dataify-task-operations runtime for final-result retrieval.

Mitigation: Review and trust that runtime before use, and preserve the returned task_id so work can resume without resubmitting a paid job.

Risk: The promised Amazon-only URL scope is not fully enforced by the artifact.

Mitigation: Require known Amazon product URLs and confirm the target URL before submission until URL validation is tightened.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/dataify-server/skills/dataify-amazon-comment)

## Skill Output:

**Output Type(s):** [Text, Markdown, Shell commands, Configuration, JSON]

**Output Format:** [Markdown guidance with shell commands and JSON task or result output]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May return a task_id for resume or no-wait behavior; by default it waits for and returns the final collected JSON result.]

## Skill Version(s):

1.3.0 (source: server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

SKILL.zh-CN.md

---
name: dataify-amazon-comment
description: "用于 Dataify Amazon 商品评论采集 Builder 任务。当用户说到或请求 Amazon 产品评论采集工具、Amazon product review/comment collection、Amazon review/comment scraping，尤其是按 URL 采集 Amazon 评论时触发。支持创建 amazon_comment_by-url 任务、返回 task_id、配置或复用 DATAIFY_API_TOKEN 环境变量，并排查 Dataify Builder 请求失败。"
---

# Dataify Amazon Comment

通过 Dataify Builder 按 URL 提交 Amazon 产品评论采集任务，提交后停止。成功提交后，将 `task_id` 提供给用户，并告知他们前往 [Dataify](https://dashboard.dataify.com?utm_source=skill) 查看结果。

## API TOKEN 处理

使用 `DATAIFY_API_TOKEN` 作为长期保存的 token 名称。

- 如果用户在请求中提供了 token，则在本次运行中使用该 token。
- 如果未提供 token，先检查环境变量中是否已保存 `DATAIFY_API_TOKEN`。
- 如果本地已保存 `DATAIFY_API_TOKEN`，则直接使用。
- 如果本地没有可用的 token，提示用户前往 [Dataify](https://dashboard.dataify.com?utm_source=skill) 获取 API TOKEN。
- 没有 token 不要调用 Builder 接口。
- 在面向用户的说明中始终称其为 `API TOKEN`。在本地保存使用时，优先使用环境变量名 `DATAIFY_API_TOKEN`。

PowerShell 示例，为当前会话保存 token：

```powershell
$env:DATAIFY_API_TOKEN = "YOUR_DATAIFY_API_TOKEN"
```

在 Windows 上设置持久的用户级变量：

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

## 核心工作流程

3. 询问："在我提交任务之前，您是否需要修改这些值？"
4. 将最终值规范化为 `url` 和 `file_name`。
5. 从用户明确提供的输入或已保存的 `DATAIFY_API_TOKEN` 中获取 Dataify token。
6. 如果没有可用的 token，提示用户前往 [Dataify](https://dashboard.dataify.com?utm_source=skill) 获取 API TOKEN。
7. 验证 URL 和文件名。
8. 提交 Builder 请求创建任务。
9. 从 Builder 响应中读取 `data.task_id`。
10. 告诉用户前往 [Dataify](https://dashboard.dataify.com?utm_source=skill) 查看或管理结果。

## 参数清单

| 字段 | 必填 | 默认值 | 说明 |
| --- | --- | --- | --- |
| `url` | 是 | `https://www.amazon.com/HISDERN-Checkered-Handkerchief-Classic-Necktie/dp/B0BRXPR726` | 需要采集评论的 Amazon 产品 URL。 |
| `file_name` | 否 | `{{TasksID}}` | Builder 表单字段。可由用户修改。 |

如果用户已经提供了部分值，在表格中显示这些值代替默认值，只询问是否需要修改剩余/使用默认值的参数。

## Dataify Builder 请求

使用表单字段而不是手动构建的 URL 编码字符串。

- URL：`https://scraperapi.dataify.com/builder`
- 方法：`POST`
- Authorization 头：`Bearer DATAIFY_API_TOKEN`
- Content type：`application/x-www-form-urlencoded`
- 固定字段：
  - `spider_name=amazon.com`
  - `spider_id=amazon_comment_by-url`
  - `spider_errors=true`
- 动态字段：
  - `spider_parameters` 必须是 JSON 字符串，不能是原始对象。
  - `file_name` 默认为 `{{TasksID}}`，可由用户修改。

## 脚本

为确保稳定执行，建议使用 Python 3.6 或更新版本运行 `scripts/submit_amazon_comment.py`，而不是重写 Builder 流程。脚本使用 UTF-8 编码进行读写。

```powershell
python3 ".\scripts\submit_amazon_comment.py"
python3 ".\scripts\submit_amazon_comment.py" --url "https://www.amazon.com/HISDERN-Checkered-Handkerchief-Classic-Necktie/dp/B0BRXPR726" --file-name "amazon-comments"
```

脚本会输出包含 `task_id`、`url`、`file_name`、`dashboard_url` 和 `message` 的 JSON 摘要。

## 故障排除

`Missing Dataify API TOKEN` 表示没有传入明确的 token 且本地未保存 `DATAIFY_API_TOKEN`。提示用户前往 [Dataify](https://dashboard.dataify.com?utm_source=skill) 获取 API TOKEN。

`URL cannot be empty` 表示没有提供有效的产品 URL。

`File name cannot be empty` 表示没有提供有效的 `file_name`。

缺少 `task_id` 通常表示 authorization 头、token、`spider_name` 或 `spider_id` 有误。

## 注意事项

- 不要编造结果字段。
- 成功创建任务后，始终引导用户前往 [Dataify](https://dashboard.dataify.com?utm_sou

agents/openai.yaml

interface:
  display_name: "Dataify Amazon Comment"
  short_description: "Collect Amazon Comment data and return results"
  default_prompt: "Use $dataify-amazon-comment to complete the requested Dataify collection, wait for the asynchronous task, and return the final collected result. Stop at task submission only when I explicitly request no-wait behavior."

policy:
  allow_implicit_invocation: true

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