What makes Dataify Glassdoor Builder notable?

1K downloads. Trust evidence available

How should Dataify Glassdoor Builder 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 Glassdoor Builder

Collect Glassdoor Builder data and return results Skill: Dataify Glassdoor Builder Owner: dataify-server Summary: Collect Glassdoor Builder data and return results Tags: latest:1.3.1 Version history: v1.3.1 | 2026-09-08T06:18:25.798Z | user Fix natural-language usage failures: validate required targets and URLs, preserve catalog references, default Amazon region safely, normalize Google News links, and improve UTF-8 error output. v1.3.0 | 2026-09-01T09:13:40.822Z |

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.0k

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. 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: 1.3.1release · observed Sep 8, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17feed8b2qc486skqmjapxmjs86bd4f:dataify-glassdoor-company-by-url

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-dataify-server-dataify-glassdoor-company-by-url/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

70,228 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "dataify-glassdoor-company-by-url"
description: "Collect structured Glassdoor company information from one or more known company URLs. Do not use for job-search results or Indeed company URLs."
---

# Dataify Builder Skill

Use this skill to prepare Dataify builder requests for the scraper family rooted at `glassdoor_company_by-url` on `glassdoor.com`.

## Quick Start

**Input:** a Glassdoor company URL.

```bash
python3 scripts/build-dataify-request.py --tool-sign glassdoor_company_by-url --params-json '[{"url":"https://www.glassdoor.com/Overview/Working-at-OpenAI"}]'
```

This submits the task, waits for completion, downloads the final result, and returns it. Add `--no-wait` only when submission-only behavior is requested.
## Workflow

1. Check whether `DATAIFY_API_TOKEN` exists in the environment.
2. If the token is missing, stop and tell the user to sign in at [Dataify Dashboard](https://dashboard.dataify.com?utm_source=skill) to obtain it.
3. Ask the user to choose exactly one tool from the following Chinese list:
- 通过URL采集 (glassdoor_company_by-url)
- 通过过滤器采集 (glassdoor_company_by-inputfilter)
- 通过关键词采集 (glassdoor_company_by-keywords)
- 通过搜索网址采集 (glassdoor_company_by-listurl)
- 通过URL采集 (glassdoor_joblistings_by-url)
- 通过关键词采集 (glassdoor_joblistings_by-keywords)
- 通过搜索网址采集 (glassdoor_joblistings_by-listurl)
4. Read `references/tool-params.json` and find the chosen tool by `tool_sign` or Chinese tool name.
5. For each parameter in the chosen tool:
- If `input_mode` is `user_input`, ask the user for the value.
- If `input_mode` is `select`, present the saved options to the user.
6. Use `scripts/build-dataify-request.py` as the default cross-platform helper.
7. Use `scripts/build-dataify-request.ps1` as the Windows PowerShell helper when needed.
8. When a selectable parameter has a human-readable Chinese label, keep that label in `spider_parameters`. Do not replace it with a code such as `HK` unless the user explicitly asks for the coded value.
9. Build `spider_parameters` as a JSON array.
10. If every parameter has only one final value, build one object such as `[{"searchurl":"...","country":"Hong Kong"}]`.
11. If one or more parameters have multiple aligned values, zip them by index and build one object per row. Example: `[{"search_url":"url1","page_turning":"1","max_num":"15"},{"search_url":"url2","page_turning":"1","max_num":"15"}]`.
12. If a parameter has one value while another parameter has multiple values, reuse the single value across every generated row.
13. Set `spider_name` to `glassdoor.com`.
14. Set `spider_id` to the selected tool's `tool_sign`.
15. Always include `spider_errors=true` and `file_name={{TasksID}}`.
16. Return a curl command for `https://scraperapi.dataify.com/builder`.

## Set DATAIFY_API_TOKEN

Prefer a permanent environment-variable setup instead of setting the token only for the current terminal session.

Windows PowerShell, permanent for the current user:
```powershell
[Environment]::SetEnviro

_meta.json

{
  "ownerId": "kn74z5hmmwk21kw8tpphd9w21x86bkdf",
  "slug": "dataify-glassdoor-company-by-url",
  "version": "1.3.1",
  "publishedAt": 1788848305798
}

references/tool-params.json

[{"tool_name_cn":"公司URL","tool_sign":"glassdoor_company_by-url","spider_name":"glassdoor.com","params":[]},{"tool_name_cn":"公司过滤器","tool_sign":"glassdoor_company_by-inputfilter","spider_name":"glassdoor.com","params":[]},{"tool_name_cn":"公司关键词","tool_sign":"glassdoor_company_by-keywords","spider_name":"glassdoor.com","params":[]},{"tool_name_cn":"公司列表URL","tool_sign":"glassdoor_company_by-listurl","spider_name":"glassdoor.com","params":[]},{"tool_name_cn":"职位URL","tool_sign":"glassdoor_joblistings_by-url","spider_name":"glassdoor.com","params":[]},{"tool_name_cn":"职位关键词","tool_sign":"glassdoor_joblistings_by-keywords","spider_name":"glassdoor.com","params":[]},{"tool_name_cn":"职位列表URL","tool_sign":"glassdoor_joblistings_by-listurl","spider_name":"glassdoor.com","params":[]}]

skill-card.md

## Description:

Collect structured Glassdoor company information from one or more known company URLs. Do not use for job-search results or Indeed company URLs.

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 collect structured company information from known Glassdoor company URLs through Dataify Builder and receive completed results or a resumable task ID.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The documented behavior and bundled scripts cover more Dataify/Glassdoor workflows than a narrow known-company-URL collector.

Mitigation: Use the skill only for Glassdoor tasks you intend to submit, and verify the selected scraper tool and task ID before execution or follow-up monitoring.

Risk: Generated curl previews can contain user-supplied or otherwise untrusted parameter values.

Mitigation: Inspect generated commands before running them and avoid executing previews that include unexpected URLs, parameters, or shell-sensitive content.

Risk: Dataify API token handling can expose credentials if tokens are pasted into chat, committed, or written into long-lived shell files unnecessarily.

Mitigation: Prefer session-scoped token setup, keep tokens out of chat and version control, and rotate the token if exposure is suspected.

## Reference(s):

- [ClawHub Skill Page](https://clawhub.ai/dataify-server/skills/dataify-glassdoor-company-by-url)
- [Tool Parameter Catalog](artifact/references/tool-params.json)
- [Dataify Dashboard](https://dashboard.dataify.com?utm_source=skill)
- [Dataify Builder Endpoint](https://scraperapi.dataify.com/builder)

## Skill Output:

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

**Output Format:** [Markdown guidance with shell commands and JSON results]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May return a completed Dataify task result, a task ID, or a resume command when collection is interrupted or times out.]

## 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-glassdoor-company-by-url"
description: "为 glassdoor.com 上以 glassdoor_company_by-url 为根的 scraper 系列准备 Dataify builder 请求。当需要处理成功的 Dataify scraper detail 条目 glassdoor_company_by-url、让用户选择可用工具、读取已保存的 getToolParams 选项，并使用 DATAIFY_API_TOKEN 生成 scraperapi.dataify.com/builder curl 请求时，使用此 skill。"
---

# Dataify Builder Skill 中文版

这个 skill 用于为 `glassdoor.com` 下、以 `glassdoor_company_by-url` 为入口的 Dataify scraper 工具族生成 builder 请求。

## 工作流程

1. 先检查环境变量中是否存在 `DATAIFY_API_TOKEN`。
2. 如果 token 缺失，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。`。
3. 先让用户从下面的中文工具列表中明确选择一个工具：
- 通过URL采集 (glassdoor_company_by-url)
- 通过过滤器采集 (glassdoor_company_by-inputfilter)
- 通过关键词采集 (glassdoor_company_by-keywords)
- 通过搜索网址采集 (glassdoor_company_by-listurl)
- 通过URL采集 (glassdoor_joblistings_by-url)
- 通过关键词采集 (glassdoor_joblistings_by-keywords)
- 通过搜索网址采集 (glassdoor_joblistings_by-listurl)
4. 再读取 `references/tool-params.json`，根据 `tool_sign` 或中文工具名找到对应工具。
5. 对所选工具的每个参数分别处理：
   - 如果 `input_mode` 是 `user_input`，让用户提供值。
   - 如果 `input_mode` 是 `select`，把已保存的可选项展示给用户，让用户选择。
6. 默认优先使用 `scripts/build-dataify-request.py`，因为它是跨平台版本。
7. Windows 下也可以使用 `scripts/build-dataify-request.ps1`。
8. 对于可选型参数，如果存在人类可读标签，优先把该标签写入 `spider_parameters`。
9. `spider_parameters` 必须是一个 JSON 数组。
10. 过滤器类工具可能需要按索引生成多个对象。
11. `spider_name` 固定取 `glassdoor.com`。
12. `spider_id` 固定取用户所选工具的 `tool_sign`。
13. 始终包含 `spider_errors=true` 和 `file_name={{TasksID}}`。

## 设置 DATAIFY_API_TOKEN

推荐使用永久环境变量，而不是只在当前终端临时设置。

Windows PowerShell，当前用户永久设置：

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

然后重新打开 PowerShell。如果当前会话也要立即生效，再执行：

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

macOS 或 Linux，bash 永久设置：

```bash
echo 'export DATAIFY_API_TOKEN="your_token_here"' >> ~/.bashrc
source ~/.bashrc
```

macOS 或 Linux，zsh 永久设置：

```bash
echo 'export DATAIFY_API_TOKEN="your_token_here"' >> ~/.zshrc
source ~/.zshrc
```

## 脚本用法

Python：

```bash
python scripts/build-dataify-request.py --tool-sign <selected_tool_sign> --values-file values.json
```

PowerShell：

```powershell
& ".\scripts\build-dataify-request.ps1" -ToolSign "<selected_tool_sign>" -ValuesFile ".\values.json"
```

`values.json` 可以是单个对象，也可以是对象数组。

## 输出格式

最终 `curl` 命令应为：

```bash
curl -X POST 'https://scraperapi.dataify.com/builder' \
  -H "Authorization: Bearer $DATAIFY_API_TOKEN" \
  -H 'Content-Type: application/x-www-form-urlencoded' \
  -d 'spider_name=glassdoor.com' \
  -d 'spider_id=<selected_tool_sign>' \
  -d 'spider_parameters=[{"param":"value"}]' \
  -d 'spider_errors=true' \
  -d 'file_name={{TasksID}}'
```

## 参考文件

- `references/tool-params.json` 保存了这个 skill 下所有工具及参数选项。
- `scripts/build-dataify-request.py` 是首选的跨平台实现。
- `scripts/build-dataify-request.ps1` 是 Windows PowerShell 版本。
- 如果参数没有预设选项，必须向用户要值。
- 不要假设 `spider_parameters` 永远只有一个对象；多值工具可能需要按索引生成多个对象。
- `url_example` 仅作为参考，不要默认用户就要用示例值，除非用户明确确认。

## 参数交互策略

- 当请求意图明确、只读、低风险且成本较低

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