What makes Dataify Amazon Product List notable?

1.1K downloads. Trust evidence available

How should Dataify Amazon Product List 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 Product List

Collect Amazon Product List 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-product-list

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

Contract: missing

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

Documentation

CLAWHUB

65,284 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: dataify-amazon-product-list
description: "Collect Amazon product-list records by keyword and marketplace domain. Use when both list-style results and a target Amazon domain are required. Do not use for a single ASIN, product details, reviews, or global brand collection."
---

# Dataify Amazon Product List

Submit Amazon product list collection jobs by keyword and domain 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:** a keyword and Amazon domain.

```bash
python3 scripts/submit_amazon_product_list.py --keyword "coffee" --domain "https://www.amazon.com/" --page-turning 1
```

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

3. Ask: "Do you want to change any of these values before I submit the task?"
4. Normalize the final values into `keyword`, `domain`, `page_turning`, and `file_name`.
7. Validate required fields and numeric constraints.
8. Submit a Builder request to create the task.
9. Read `data.task_id` from the Builder response.

## Parameter Checklist

| Field | Required | Default | Notes |
| --- | --- | --- | --- |
| `keyword` | Yes | `https://www.amazon.com/sp?ie=UTF8&seller=ADZ7LD48GVFQJ&asin=B07H56J7K1&ref_=dp_merchant_link&isAmazonFulfilled=1` | Amazon product-list keyword query. |
| `domain` | Yes | `https://www.amazon.com/` | Amazon domain. |
| `page_turning` | No | `1` | Number of pages to collect. Must be an integer greater than or equal to `0`. |
| `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-urlenc

_meta.json

{
  "ownerId": "kn74z5hmmwk21kw8tpphd9w21x86bkdf",
  "slug": "dataify-amazon-product-list",
  "version": "1.3.1",
  "publishedAt": 1788848258744
}

skill-card.md

## Description:

Collect Amazon product-list records by keyword and marketplace domain through Dataify Builder and return the collected JSON result.

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:

Developers and operators use this skill to submit Dataify Amazon product-list collection jobs by keyword and Amazon marketplace domain, then monitor the task and retrieve final JSON results. It is intended for list-style Amazon collection, not single-ASIN details, reviews, or global brand collection.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill requires a Dataify account token and can submit paid or credit-consuming Dataify jobs.

Mitigation: Configure DATAIFY_API_TOKEN through the local environment, do not expose token values in chat or logs, and confirm high-volume or multi-page collection scopes before execution.

Risk: Security evidence reports credential and import-handling risks, including token-in-query and external import-path behavior.

Mitigation: Review, fix, or explicitly accept these behaviors before installation; run the skill in a least-privileged environment until resolved.

Risk: Security evidence reports broader under-disclosed scraping and business-intelligence helper code beyond the advertised Amazon-list workflow.

Mitigation: Review the bundled scripts before deployment and restrict invocation to the advertised Amazon product-list workflow unless the additional helpers are intentionally approved.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/dataify-server/skills/dataify-amazon-product-list)
- [Dataify dashboard](https://dashboard.dataify.com?utm_source=skill)

## Skill Output:

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

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

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Requires DATAIFY_API_TOKEN; normal execution can submit credit-consuming Dataify jobs and may wait for asynchronous task completion.]

## 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-product-list
description: "用于 Dataify Amazon 商品列表采集 Builder 任务。当用户说到或请求 Amazon 产品列表采集工具、Amazon product list collection/tool/scraping，或按 keyword and domain 采集 Amazon product list 时触发。支持创建 amazon_product-list_by-keywords-domain 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 Product List

通过 Dataify Builder 按关键词和域名提交 Amazon 产品列表采集任务，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，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

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 `keyword`、`domain`、`page_turning` 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，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。`。
7. 验证必填字段和数值约束。
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 |
| --- | --- | --- | --- |
| `keyword` | 是 | `https://www.amazon.com/sp?ie=UTF8&seller=ADZ7LD48GVFQJ&asin=B07H56J7K1&ref_=dp_merchant_link&isAmazonFulfilled=1` | Amazon 产品列表关键词查询。 |
| `domain` | 是 | `https://www.amazon.com/` | Amazon 域名。 |
| `page_turning` | 否 | `1` | 采集的页数。必须是大于等于 `0` 的整数。 |
| `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_product-list_by-keywords-domain`
  - `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_product_list.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_product_list.py"
python3 ".\scripts\submit_amazon_product_list.py" --keyword "coffee" --domain "https://www.amazon.com/" --page-turning 1 --file-name "amazon-product-list"
```

脚本会输出包含 `task_id`、`keyword`、`domain`、`page_turning`、`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`。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

agents/openai.yaml

interface:
  display_name: "Dataify Amazon Product List"
  short_description: "Collect Amazon Product List data and return results"
  default_prompt: "Use $dataify-amazon-product-list 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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