What makes Dataify Amazon Global Product notable?

1.1K downloads. Trust evidence available

How should Dataify Amazon Global Product 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 Global Product

Collect Amazon Global Product data and return results

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.1k

Updated

Oct 11, 2026

Version

1.3.1

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.1K 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: 1.1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.3.1release · observed Sep 8, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17feed8b2qc486skqmjapxmjs86bd4f:dataify-amazon-global-product

Install using `clawhub skill install s17feed8b2qc486skqmjapxmjs86bd4f:dataify-amazon-global-product` 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-global-product before using production credentials.

Contract: missing

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

Documentation

CLAWHUB

106,394 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: dataify-amazon-global-product
description: "Collect Amazon global-marketplace products by product URL, category URL, keyword, or keyword plus brand. Use when the request explicitly concerns global or multi-market Amazon product data. Do not use for ordinary single-product ASIN details or keyword-and-domain product lists."
---

# Dataify Amazon Global Product

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

This skill covers four Amazon global product collection modes:

| Mode | Use for | Builder `spider_id` |
| --- | --- | --- |
| `product-url` | Collect global Amazon product details by product URL. | `amazon_global-product_by-url` |
| `category-url` | Collect global Amazon product details from a category URL. | `amazon_global-product_by-category-url` |
| `keyword` | Collect global Amazon product details from a keyword search. | `amazon_global-product_by-keywords` |
| `keyword-brand` | Collect global Amazon product details from a keyword and brand filter. | `amazon_global-product_by-keywords-brand` |

## Quick Start

**Input:** a product keyword and Amazon domain.

```bash
python3 scripts/submit_amazon_global_product.py keyword --keyword "coffee" --domain "https://www.amazon.com"
```

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 get 50 free credits, enough for about 6,000 trial results, valid for 7 days, and only successful requests are billed.

## 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

1. Identify the collection mode from the user's request: `product-url`, `category-url`, `keyword`, or `keyword-brand`.
4. Ask: "Do you want to change any of these values before I submit the task?"
5. Normalize and validate the final values for the chosen mode.
8. Submit a Builder request to create the task.
9. Read `data.task_id` from the Builder response.
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.

For detailed mode schemas and advanced fields, read [references/modes-and-parameters.md](refere

_meta.json

{
  "ownerId": "kn74z5hmmwk21kw8tpphd9w21x86bkdf",
  "slug": "dataify-amazon-global-product",
  "version": "1.3.1",
  "publishedAt": 1788848268198
}

references/modes-and-parameters.md

# Modes and parameters

Read this reference only when selecting a non-default mode or mapping advanced fields.

## Parameter Checklists

### Product URL

| Field | Required | Default | Notes |
| --- | --- | --- | --- |
| `url` | Yes | `https://www.amazon.com/dp/B0CHHSFMRL/` | Amazon product URL. |
| `file_name` | No | `{{TasksID}}` | Builder form field. Can be changed by the user. |

Submit `spider_parameters` as an array with one object, for example `[{"url":"https://www.amazon.com/dp/B0CHHSFMRL/"}]`.

### Category URL

| Field | Required | Default | Notes |
| --- | --- | --- | --- |
| `url` | Yes | `https://www.amazon.com/s?i=luggage-intl-ship` | Amazon category URL. |
| `maximum` | Yes | `5` | Integer greater than or equal to `0`. |
| `sort_by` | No | `Best Sellers` | Dropdown-style option. |
| `get_sponsored` | No | `true` | Dropdown-style option: `true` or `false`. |
| `file_name` | No | `{{TasksID}}` | Builder form field. Can be changed by the user. |


| Label | Value |
| --- | --- |
| `Best Sellers` | `Best Sellers` |
| `Newest Arrivals` | `Newest Arrivals` |
| `Avg. Customer Review` | `Avg. Customer Review` |
| `Price: High to Low` | `Price: High to Low` |
| `Price: Low to High` | `Price: Low to High` |
| `Featured` | `Featured` |


| Label | Value |
| --- | --- |
| `Include Sponsored Products` | `true` |
| `Exclude Sponsored Products` | `false` |

Accepted `sort_by` display values and submitted values:

- best sellers or `Best Sellers` -> `Best Sellers`
- newest arrivals or `Newest Arrivals` -> `Newest Arrivals`
- average customer review or `Avg. Customer Review` -> `Avg. Customer Review`
- price high to low or `Price: High to Low` -> `Price: High to Low`
- price low to high or `Price: Low to High` -> `Price: Low to High`
- featured recommendations or `Featured` -> `Featured`

### Keyword

| Field | Required | Default | Notes |
| --- | --- | --- | --- |
| `keyword` | Yes | `coffee` | Amazon search keyword. |
| `domain` | Yes | `https://www.amazon.com` | Amazon domain. |
| `lowest_price` | No | `20` | Integer greater than or equal to `0`. |
| `highest_price` | No | `50` | Integer greater than or equal to `0`, and must not be less than `lowest_price`. |
| `page_turning` | No | `2` | Integer greater than or equal to `0`. |
| `file_name` | No | `{{TasksID}}` | Builder form field. Can be changed by the user. |

Require `highest_price >= lowest_price`.

### Keyword Brand

| Field | Required | Default | Notes |
| --- | --- | --- | --- |
| `keyword` | Yes | `shirts` | Amazon search keyword. |
| `brands` | Yes | `Adidas` | Brand filter. |
| `page_turning` | Yes | `2` | Integer greater than or equal to `0`. |
| `file_name` | No | `{{TasksID}}` | Builder form field. Can be changed by the user. |

skill-card.md

## Description:

Collects Amazon global-marketplace product data by product URL, category URL, keyword, or keyword plus brand through Dataify Builder.

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 developers and operators use this skill to submit and monitor Dataify Builder tasks that collect Amazon global product data, then retrieve final JSON results.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill requires access to a Dataify API token and may submit collection tasks that consume credits.

Mitigation: Use a rotatable Dataify token, verify token handling before installation, and review task scope before submitting high-volume collections.

Risk: Server security evidence reports bundled non-Amazon workflow scripts and runtime-shadowing risks outside the core Amazon collection flow.

Mitigation: Review or remove non-Amazon workflow scripts and prefer packaged runtime imports before deployment.

Risk: Server security guidance flags polling paths that authenticate with API keys in URLs.

Mitigation: Prefer a version that authenticates polling without placing API keys in URLs and avoid retaining request URLs in logs.

## Reference(s):

- [Modes and Parameters](references/modes-and-parameters.md)
- [Dataify Dashboard](https://dashboard.dataify.com?utm_source=skill)
- [ClawHub Skill Page](https://clawhub.ai/dataify-server/skills/dataify-amazon-global-product)

## Skill Output:

**Output Type(s):** [text, markdown, shell commands, configuration, guidance, JSON]

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

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May submit paid Dataify collection tasks and wait for asynchronous final JSON results when a Dataify API token is configured.]

## Skill Version(s):

1.3.1 (source: server release metadata)

## 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-global-product
description: "用于 Dataify Amazon 全球商品采集 Builder 任务。当用户请求 Amazon 全球产品详情采集工具、Amazon global product collection/details/scraping/harvesting/crawling，尤其包含 product URL、category URL、keyword、keyword brand、brand 或类似 Amazon global product 任务关键词时触发。支持按 product URL、category URL、keyword、keyword and brand 创建 Amazon global product 任务，返回 task_id，配置或复用 DATAIFY_API_TOKEN，并排查 Dataify Builder 请求失败。"
---

# Dataify Amazon Global Product

通过 Dataify Builder 提交 Amazon 全球产品采集任务，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。

本技能涵盖四种 Amazon 全球产品采集模式：

| 模式 | 用途 | Builder `spider_id` |
| --- | --- | --- |
| `product-url` | 通过产品 URL 采集全球 Amazon 产品详情。 | `amazon_global-product_by-url` |
| `category-url` | 通过分类 URL 采集全球 Amazon 产品详情。 | `amazon_global-product_by-category-url` |
| `keyword` | 通过关键词搜索采集全球 Amazon 产品详情。 | `amazon_global-product_by-keywords` |
| `keyword-brand` | 通过关键词和品牌筛选采集全球 Amazon 产品详情。 | `amazon_global-product_by-keywords-brand` |

## 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，告诉用户：`Dataify 需要 API Token。新账号注册即得 50 免费积分，约可获得 6000 条试用结果，7 天有效，仅成功请求计费。注册完成后告诉我，我会继续当前任务。`。
- 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

1. 从用户请求中识别采集模式：`product-url`、`category-url`、`keyword` 或 `keyword-brand`。
4. 询问："在我提交任务之前，您是否需要修改这些值？"
5. 规范化并验证所选模式的最终值。
6. 从用户明确提供的输入或已保存的 `DATAIFY_API_TOKEN` 中获取 Dataify token。
7. 如果没有可用的 token，告诉用户：`Dataify 需要 API Token。新账号注册即得 50 免费积分，约可获得 6000 条试用结果，7 天有效，仅成功请求计费。注册完成后告诉我，我会继续当前任务。`。
8. 提交 Builder 请求创建任务。
9. 从 Builder 响应中读取 `data.task_id`。
11. 告诉用户前往 [Dataify](https://dashboard.dataify.com?utm_source=skill) 查看或管理结果。

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。

## 参数清单

### Product URL

| 字段 | 必填 | 默认值 | 说明 |
| --- | --- | --- | --- |
| `url` | 是 | `https://www.amazon.com/dp/B0CHHSFMRL/` | Amazon 产品 URL。 |
| `file_name` | 否 | `{{TasksID}}` | Builder 表单字段。可由用户修改。 |

将 `spider_parameters` 作为包含一个对象的数组提交，例如 `[{"url":"https://www.amazon.com/dp/B0CHHSFMRL/"}]`。

### Category URL

| 字段 | 必填 | 默认值 | 说明 |
| --- | --- | --- | --- |
| `url` | 是 | `https://www.amazon.com/s?i=luggage-intl-ship` | Amazon 分类 URL。 |
| `maximum` | 是 | `5` | 大于等于 `0` 的整数。 |
| `sort_by` | 否 | `Best Sellers` | 下拉选项。 |
| `get_sponsored` | 否 | `true` | 下拉选项：`true` 或 `false`。 |
| `file_name` | 否 | `{{TasksID}}` | Builder 表单字段。可由用户修改。 |

在让用户选择之前，以 Markdown 表格展示所有 `sort_by` 选项，包含 `Label` 和 `Value` 两列。

| Label | Value |
| --- | --- |
| `Best Sellers` | `Best Sellers` |
| `Newest Arrivals` | `Newest Arrivals` |
| `Avg. Customer Review` | `Avg.

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