LinkedIn Company Search

Search company data from LinkedIn using the UpKuaJing Open Platform API.

Overview

This skill provides access to UpKuaJing's LinkedIn company data through one list search script. API key generation and top-up are provided through the auth.py script.

Running Scripts

Environment Setup

1. Check Python: python --version
2. Install dependencies: pip install -r requirements.txt

Script directory: scripts/*.py Run example: python scripts/*.py

Important: Always use direct script invocation like python scripts/linkedin_company_search.py. Do NOT use shell compound commands like cd scripts && python linkedin_company_search.py

LinkedIn Company List Search (linkedin_company_search.py)

• Return granularity: Each company as one record
• Use cases: Focus on "which companies exist" in LinkedIn data
• Examples:
  • "Find manufacturers producing LED lights"
  • "Find tech companies with 100-500 employees"
• Parameters: See LinkedIn Company List

API Key and Top-up

This skill requires an API key. The API key is stored in the ~/.upkuajing/.env file:

cat ~/.upkuajing/.env

Example file content:

UPKUAJING_API_KEY=your_api_key_here

API Key Not Set

First check if the ~/.upkuajing/.env file has UPKUAJING_API_KEY; If UPKUAJING_API_KEY is not set, prompt the user to choose:

1. User has one: User provides it (manually add to ~/.upkuajing/.env file)
2. User doesn't have one: You can apply using the interface (auth.py --new_key), the new key will be automatically saved to ~/.upkuajing/.env Wait for user selection;

Account Top-up

When API response indicates insufficient balance, explain and guide user to top up:

1. Create top-up order (auth.py --new_rec_order)
2. Based on order response, send payment page URL to user, guide user to open URL and pay, user confirms after successful payment;

Get Account Information

Use this script to get account information for UPKUAJING_API_KEY: auth.py --account_info

API Key and UpKuaJing Account

• Newly applied API key: Register and login at UpKuaJing Open Platform, then bind account

Report Skill Call Errors

When an API call fails or returns abnormal data (server error, timeout, malformed response, etc.), explain the anomaly to the user in natural language and ask whether to report it to the platform for troubleshooting. Only run the report after user confirmation:

python scripts/error_report.py --params '{"requestPath":"/agent/search/linkedin/company/list","requestId":"f47ac10b58cc4372a5670e02b2c3d479","context":"LinkedIn company search query failed with a server error"}'

• Do not report normal business conditions (insufficient balance, invalid API key, parameter errors) — handle them via their own flows
• Error reporting does not incur query fees
• Parameters: See Error Report API

Fees

All API calls incur fees, different interfaces have different billing methods.

Latest pricing: Users can visit Detailed Price Description Or use: python scripts/auth.py --price_info (returns complete pricing for all interfaces)

List Search Billing Rules

Billed by number of calls, each call returns up to 20 records:

• Number of calls: ceil(query_count / 20) times
• Whenever query_count > 20, must before execution:
  1. Inform user of expected number of calls
  2. Stop, wait for explicit user confirmation in a separate message, then execute script

Fee Confirmation Principle

Any operation that incurs fees must first inform and wait for explicit user confirmation. Do not execute in the same message as the notification.

Workflow

Choose parameters based on user intent.

Decision Guide

Usage Examples

Scenario 1: Small Query — Search Companies

User request: "Find Chinese manufacturers producing LED lights"

python scripts/linkedin_company_search.py \
  --params '{"keywords": ["LED lights"], "countryCodes": ["CN"], "existEmail": 1}' \
  --query_count 20

Scenario 2: Large Query — Multiple Script Calls Required

User request: "Find 1000 US electronics companies with email addresses" Before execution inform user: ceil(1000/20) = 50 API calls, confirm before executing.

python scripts/linkedin_company_search.py --params '{"keywords": ["electronics"], "countryCodes": ["US"], "existEmail": 1}' --query_count 1000

After execution: Script responds {"task_id":"a1b2-c3d4", "file_url": "xxxxx", ……} Continue execution, append data: Specify task_id, script continues from where it left off and appends to file

python scripts/linkedin_company_search.py --task_id 'task-id-here' --query_count 2000

Error Handling

• API key invalid/non-existent: Check UPKUAJING_API_KEY in ~/.upkuajing/.env file
• Insufficient balance: Guide user to top up
• Invalid parameters: Must first check the corresponding API documentation in references/ directory, get correct parameter names and formats from documentation, do not guess
• Skill call errors / abnormal responses: Explain to the user and, with user confirmation, report to the platform via python scripts/error_report.py (see Report Skill Call Errors)

API Documentation Reference

• LinkedIn Company List API
• Error Report: Check references/skill-error-report-api.md

Best Practices

1. Check API documentation:

   • Before executing queries, must first check the corresponding API reference documentation
   • Check references/linkedin-company-list-api.md
   • Do not guess parameter names, get accurate parameter names and formats from documentation

2. Optimize query parameters:

   • Use keywords / companyNames to filter precisely; industry and product names must be in English
   • Use existEmail=1 or existValidEmail=1 to filter companies with contact information
   • Use countryCodes to limit country scope; use companySizes to limit company size

3. Large result sets:

   • For large queries, pay attention to the jsonl file size

Notes

• Company records use pid as the unique identifier
• All timestamps are in seconds (incorp_date is a second-level timestamp)
• Country codes use ISO 3166-1 alpha-2 format (e.g., CN, US, JP)
• File paths use forward slashes on all platforms
• Industry names must be in English
• Search quantity affects API response time, recommend setting timeout: 120
• Prohibit outputting technical parameter format: Do not display code-style parameters in responses, convert to natural language
• Do not estimate or guess per-call fees — use python scripts/auth.py --price_info to get accurate pricing information
• Do not guess parameter names, get accurate parameter names and formats from documentation

Related Skills

Other UpKuaJing skills you might find useful:

• linkedin-person-search — Search people from LinkedIn data
• global-company-person-search — Search people from the global company database
• global-company-search — Search companies from the global company database
• global-company-shareholder — Query shareholder list from the global company database
• global-company-employee — Query employee list from the global company database
• global-company-person-colleague — Query colleague list from the global company database
• global-company-person-alumni — Query alumni list from the global company database
• global-company-person-experience — Query work experience list from the global company database
• global-company-person-education — Query education history list from the global company database
• global-company-person-school-detail — Query school detail from the global company database
• upkuajing-global-company-people-search — Unified company and people search across all sources
• upkuajing-customs-trade-company-search — Search customs trade companies
• upkuajing-contact-info-validity-check — Check contact info validity
• phone-validity-check — Check phone number validity
• email-validity-check — Check email address validity
• domain-validity-check — Check domain validity and security