A LinkedIn vacancy has a familiar title, but you are unsure whether its actual responsibilities fit your experience. Retrieve the specific job details and turn them into preparation tasks rather than deciding from the title alone.

Confirm the vacancy you intend to assess

Use the full job URL and compare the title and company with your intended role. Options can request skills and hiring-team information, but availability is not guaranteed. Before submitting an application, check the live destination for current recruitment status.

Match requirements to concrete evidence

Read the available description, location, salary range, and skills. Separate explicit requirements, preferences, and matters not stated. Prepare examples from your own experience for relevant responsibilities. Missing salary information does not mean unpaid work, and an unlisted skill is not necessarily irrelevant. Similar job titles can conceal very different duties.

Prepare questions for the next conversation

List unclear responsibilities, collaboration arrangements, and conditions worth confirming. If hiring-team information is present, use it for context without inventing private contacts or initiating messages automatically. The outcome is a stronger application and a focused question list, not a hiring probability generated by the endpoint. Your goals, actual experience, and later conversations still determine fit.

Request URL and parameters

GET https://api.trmesh.com/openapi/api/v1/linkedin/web_v2/get_job_detail

Parameter Type Required Meaning
url string Yes Job URL
include_skills boolean No Include skills
include_hiring_team boolean No Include hiring team

Run the Python example

Install requests and set TRMESH_API_TOKEN in your environment. Replace the sample identifiers with the public object you intend to inspect. Example IDs may no longer be available.

import os
import requests

# Read your own developer key from the server environment.
url = "https://api.trmesh.com/openapi/api/v1/linkedin/web_v2/get_job_detail"
params = {
    "url": "https://www.linkedin.com/jobs/view/software-engineer-at-pave-4310512612/"
}
response = requests.get(
    url, params=params, timeout=30,
    headers={"Authorization": f"Bearer {os.environ['TRMESH_API_TOKEN']}"},
)
response.raise_for_status()
payload = response.json()
print(payload)  # Inspect the actual response before mapping fields

Endpoint documentation · Free profile tool

API calls use your TRMesh account allowance. Check the endpoint price before running a script.