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linkedin-job-scraper

Scrapes LinkedIn job postings using the JobSpy library (python-jobspy). Use this skill whenever the user wants to find jobs on LinkedIn, search for open roles, pull job listings, build a job pipeline, source job targets for GTM research, or monitor hiring signals. Even if the user just says "find me some jobs" or "what roles is [company] hiring for", use this skill. It runs a local Python script that outputs a CSV of job postings with title, company, location, salary, job type, description, and direct URLs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

연동 도구LinkedIn

실행 점수 미검증

설치 방법 보기

포함된 파일(3)

  • SKILL.md5.6 KB
  • scripts/jobspy_scraper.py3.9 KB
  • skill.meta.json270 B

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

LinkedIn Scraper

Overview

This skill finds LinkedIn job postings by running tools/jobspy_scraper.py, a thin wrapper around the JobSpy library. It handles installation, parameter construction, execution, and result interpretation.

Quick Start

Install the dependency once (requires Python 3.10+):

python3.12 -m pip install -U python-jobspy --break-system-packages

Run the scraper:

python3.12 tools/jobspy_scraper.py \
  --search "software engineer" \
  --location "San Francisco, CA" \
  --results 25 \
  --output .tmp/jobs.csv

Results are saved as CSV and printed as a summary table.


Workflow

Step 1 — Understand the request

Identify from the user's message:

  • Search term — job title, role, or keyword (required)
  • Location — city, state, or "Remote" (optional but recommended)
  • Results wanted — default to 25 if not specified
  • Recency — hours_old filter if user wants recent posts (e.g. "last 48 hours")
  • Company filter — linkedin_company_ids if targeting a specific company
  • Full descriptions — set --fetch-descriptions if user needs job description text

If anything is ambiguous (e.g. "find AI jobs"), pick reasonable defaults and tell the user what you used.

Step 2 — Construct the command

Build the tools/jobspy_scraper.py command using the parameters below. Always save output to .tmp/ so it's disposable and easy to find.

python tools/jobspy_scraper.py \
  --search "<term>" \
  --location "<location>" \
  --results <N> \
  [--hours-old <N>] \
  [--fetch-descriptions] \
  [--company-ids <id1,id2>] \
  [--job-type fulltime|parttime|contract|internship] \
  [--remote] \
  --output .tmp/<descriptive_filename>.csv

Note: --hours-old and --easy-apply cannot be used together (LinkedIn API constraint).

Step 3 — Run the script

Execute the command. The script will print a progress message and a summary of results found.

If the script is not found at tools/jobspy_scraper.py, check whether the file needs to be created by reading skills/linkedin-job-scraper/scripts/jobspy_scraper.py and copying it to tools/.

Step 4 — Interpret and present results

After the run:

  • Report how many jobs were found
  • Show a brief table: Title | Company | Location | Salary | Posted
  • Note the output file path so the user can open it
  • If 0 results: suggest broadening the search term or removing the location filter

Parameters Reference

FlagDescriptionDefault
--searchJob title / keywordsrequired
--locationCity, state, or countrynone
--resultsNumber of results to fetch25
--hours-oldOnly jobs posted within N hoursnone
--fetch-descriptionsFetch full job descriptions (slower)false
--company-idsComma-separated LinkedIn company IDsnone
--job-typefulltime, parttime, contract, internshipany
--remoteFilter for remote jobs onlyfalse
--outputPath for CSV output.tmp/jobs.csv

Output Columns

The CSV output includes:

ColumnDescription
TITLEJob title
COMPANYEmployer name
LOCATIONCity / State / Country
IS_REMOTETrue/False
JOB_TYPEfulltime, contract, etc.
DATE_POSTEDWhen the listing was posted
MIN_AMOUNTMinimum salary
MAX_AMOUNTMaximum salary
CURRENCYCurrency code
JOB_URLDirect link to the LinkedIn posting
DESCRIPTIONFull job description (if --fetch-descriptions used)
JOB_LEVELSeniority level (LinkedIn-specific)
COMPANY_INDUSTRYIndustry classification

Common Use Cases

Find recent engineering roles at a startup:

python tools/jobspy_scraper.py --search "growth engineer" --location "New York" \
  --results 50 --hours-old 72 --output .tmp/growth_eng_nyc.csv

Monitor what a specific company is hiring for:

# First find the LinkedIn company ID from the company's LinkedIn URL
python tools/jobspy_scraper.py --search "engineer" --company-ids 1234567 \
  --results 100 --fetch-descriptions --output .tmp/company_hiring.csv

Find remote contract roles:

python tools/jobspy_scraper.py --search "data analyst" --remote \
  --job-type contract --results 30 --output .tmp/remote_contracts.csv

Error Handling

ErrorFix
ModuleNotFoundError: jobspyRun pip install -U python-jobspy
0 results returnedBroaden search term, remove location, increase --results
Rate limited / blockedWait a few minutes; avoid running back-to-back large scrapes
hours_old and easy_apply cannot both be setRemove one of those flags

Script Location

The scraper script lives at tools/jobspy_scraper.py.

If it doesn't exist, copy it from skills/linkedin-scraper/scripts/jobspy_scraper.py to tools/:

cp skills/linkedin-job-scraper/scripts/jobspy_scraper.py tools/

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