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dataify-server

Dataify Linkedin Company Information By Url

by dataify-server · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install dataify-linkedin-company-information-by-url
Description
Prepare Dataify builder requests for the linkedin.com scraper family rooted at linkedin_company_information_by-url. Use when needs to work with the successfu...
README (SKILL.md)

Dataify Builder Skill

Use this skill to prepare Dataify builder requests for the scraper family rooted at linkedin_company_information_by-url on linkedin.com.

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://dataify.com/dashboard) to obtain it.
  3. Ask the user to choose exactly one tool from the following Chinese list:
  • 通过URL采集 (linkedin_company_information_by-url)
  • 通过职位列表URL采集 (linkedin_job_listings_information_by-job-listing-url)
  • 通过职位URL采集 (linkedin_job_listings_information_by-job-url)
  • 通过关键词采集 (linkedin_job_listings_information_by-keyword)
  1. Read references/tool-params.json and find the chosen tool by tool_sign or Chinese tool name.
  2. 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.
  3. Use scripts/build-dataify-request.py as the default cross-platform helper.
  4. Use scripts/build-dataify-request.ps1 as the Windows PowerShell helper when needed.
  5. 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.
  6. Build spider_parameters as a JSON array.
  7. If every parameter has only one final value, build one object such as [{"searchurl":"...","country":"Hong Kong"}].
  8. 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"}].
  9. If a parameter has one value while another parameter has multiple values, reuse the single value across every generated row.
  10. Set spider_name to linkedin.com.
  11. Set spider_id to the selected tool's tool_sign.
  12. Always include spider_errors=true and file_name={{TasksID}}.
  13. 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:

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

Then reopen PowerShell. If the current session also needs the token immediately, run:

$env:DATAIFY_API_TOKEN = "your_token_here"

macOS or Linux, permanent for bash:

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

macOS or Linux, permanent for zsh:

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

Script usage

Python:

python scripts/build-dataify-request.py --tool-sign \x3Cselected_tool_sign> --values-file values.json

PowerShell:

& ".\scripts\build-dataify-request.ps1" -ToolSign "\x3Cselected_tool_sign>" -ValuesFile ".\values.json"

The values.json file should contain either one object or an array of objects. Example:

[{"searchurl":"https://www.airbnb.com/s/Greece/homes?...","country":"Hong Kong"}]

Required output shape

Generate a curl command in this form:

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=linkedin.com' \
  -d 'spider_id=\x3Cselected_tool_sign>' \
  -d 'spider_parameters=[{"param":"value"}]' \
  -d 'spider_errors=true' \
  -d 'file_name={{TasksID}}'

Reference usage

  • references/tool-params.json stores the full saved parameter catalog for every available tool in this scraper family.
  • scripts/build-dataify-request.py is the portable implementation and should be preferred.
  • scripts/build-dataify-request.ps1 mirrors the same behavior for Windows users.
  • If a parameter has no options, the user must provide the value.
  • If a parameter has options, present those options back to the user before building the final request.
  • Do not assume spider_parameters always contains exactly one object. Multi-value tools may require multiple objects zipped by index.
  • Use the saved url_example only as a reference example. Do not assume the user wants the example values unless they explicitly confirm them.
Usage Guidance
Install only if you trust Dataify and are comfortable sending scraper parameters to its API. Avoid using the helper in shared terminals or logs because it can print your live token; prefer commands that reference $DATAIFY_API_TOKEN at execution time, store the token in a secret manager or short-lived session variable, and rotate the token if it was exposed.
Capability Assessment
Purpose & Capability
The artifact is coherent: it helps build authenticated Dataify scraper builder requests for LinkedIn-related tools and clearly targets scraperapi.dataify.com.
Instruction Scope
The workflow is user-directed and does not auto-execute network calls, but the Python helper expands DATAIFY_API_TOKEN into a printed curl command, which can expose a live bearer token in terminal output or copied logs.
Install Mechanism
The package contains markdown instructions, a small YAML agent prompt, and a Python helper script; no install hook, dependency installer, background service, or hidden execution path was found.
Credentials
Using an API token and sending parameters to Dataify is expected for this integration, but users should understand that request parameters and credentials go to an external service.
Persistence & Privilege
The documentation recommends permanent plaintext environment-variable setup in shell profiles or user environment settings without equivalent warnings or safer alternatives.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install dataify-linkedin-company-information-by-url
  3. After installation, invoke the skill by name or use /dataify-linkedin-company-information-by-url
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of the Dataify LinkedIn scraper request builder. - Supports creating Dataify builder curl requests for LinkedIn company and job information scraping tools. - Guides users in choosing one tool in Chinese, reading tool parameters, and collecting user input or presenting selectable options. - Generates compliant JSON arrays for `spider_parameters`, supporting both single and multiple value scenarios. - Uses Python (`build-dataify-request.py`) and PowerShell (`build-dataify-request.ps1`) scripts for cross-platform request building. - Provides clear instructions for permanent environment variable setup of `DATAIFY_API_TOKEN`. - Outputs the final curl request ready for submission to scraperapi.dataify.com/builder.
Metadata
Slug dataify-linkedin-company-information-by-url
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Dataify Linkedin Company Information By Url?

Prepare Dataify builder requests for the linkedin.com scraper family rooted at linkedin_company_information_by-url. Use when needs to work with the successfu... It is an AI Agent Skill for Claude Code / OpenClaw, with 46 downloads so far.

How do I install Dataify Linkedin Company Information By Url?

Run "/install dataify-linkedin-company-information-by-url" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Dataify Linkedin Company Information By Url free?

Yes, Dataify Linkedin Company Information By Url is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Dataify Linkedin Company Information By Url support?

Dataify Linkedin Company Information By Url is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Dataify Linkedin Company Information By Url?

It is built and maintained by dataify-server (@dataify-server); the current version is v1.0.0.

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