Scrapers

LinkedIn jobs (guest)

High-volume LinkedIn jobs scraper via the unauthenticated jobs-guest endpoint. Sibling to the full LinkedIn jobs scraper, which authenticates and pulls hiring-manager metadata. This actor trades depth for breadth: title, company, location, posted_at per card, no detail page by default.

Updated today

Overview

At a glance

Worker: ultron-linkedin-jobs-guest
Runtime: Python + httpx, no browser
Endpoint: linkedin.com/jobs-guest/jobs/api/seeMoreJobPostings/search
Cap: 1000 jobs per query
Proxy: Residential US (mandatory)
Default delay: 1500 ms, +50% jitter
Webhook target: scraper-webhook.51ultron.com/apify

Used when a workspace needs a wide net of job postings (e.g. "all senior backend roles in the EU posted last 7 days") and depth-per-posting is not critical. For account-targeted outreach where you need hiring manager + apply URL + full description, the authenticated sibling is the right tool; see /docs/ingest/jobs.

Input schema

.actor/INPUT_SCHEMA.jsonjson

1{

2 "queries": ["senior backend engineer", "site reliability"],

3 "location": "United States", // free text, optional

4 "geoId": "103644278", // numeric override, overrides location

5 "postedWithinDays": 7, // 1 to 90

6 "experienceLevels": ["mid_senior", "director"],

7 "maxItemsPerQuery": 100, // 1 to 1000

8 "fetchDetail": false, // 10x slower when true

9 "proxyConfiguration": {

10 "useApifyProxy": true,

11 "apifyProxyGroups": ["RESIDENTIAL"],

12 "apifyProxyCountry": "US"

13 },

14 "requestDelayMs": 1500

15}

Filters

Mapping our input to LinkedIn's query params.

Input field	LinkedIn param	Notes
queries[]	keywords	URL-encoded once per iteration.
location	location	Free text. LinkedIn resolves it server-side.
geoId	geoId	Numeric LinkedIn id, overrides location when set. 103644278 = United States.
postedWithinDays	f_TPR=r<seconds>	1 to r86400, 7 to r604800, 30 to r2592000. Other values pick the nearest bucket and we post-filter client-side.
experienceLevels[]	f_E=<lvl>	internship=1, entry=2, associate=3, mid_senior=4, director=5, executive=6.
maxItemsPerQuery	(client only)	We page via start=N until the endpoint returns 0 cards or the cap is reached.

Crawl flow

src/__main__.pypy

1# Per query:

2# 1. Build the endpoint URL with keywords, location/geoId, f_TPR, f_E, start=0.

3# 2. Loop pages, incrementing start by 25 each iteration.

4# The endpoint returns 10 to 25 cards per page.

5# 3. Parse each card: jobId, title, company, location, applyUrl, postedAt.

6# 4. If fetchDetail: GET linkedin.com/jobs/view/<jobId>/ per card.

7# Parse descriptionHtml + seniorityLevel + employmentType + industries.

8# Adds a 10x latency multiplier.

9# 5. Push rows as kind="job".

10# 6. Sleep requestDelayMs + 50% jitter between every request.

11# 7. Abort the query when one page returns 0 cards or the cap is hit.

Output shape

dataset-row.jsonjson

1{

2 "kind": "job",

3 "source": "linkedin",

4 "jobId": "3984728479",

5 "title": "Senior Backend Engineer",

6 "company": "Linear",

7 "location": "Remote, USA",

8 "postedAt": "2026-05-17T00:00:00Z",

9 "applyUrl": "https://www.linkedin.com/jobs/view/3984728479/",

11 // Only populated when fetchDetail = true

12 "descriptionHtml": "<div>...</div>",

13 "seniorityLevel": "Mid-Senior level",

14 "employmentType": "Full-time",

15 "industries": ["Computer Software"],

17 "scrapedAt": "2026-05-19T12:00:00Z"

18}

Compared to the auth scraper

Concern	Guest (this actor)	Auth (ultron-jobs)
Throughput	High (1000 jobs / query, no session limit)	Low to medium (account rate-limited)
Detail per job	Card-level fields, optional detail page	Full job page, hiring manager metadata, apply method
Account risk	None (unauth)	Session may be flagged with sustained use
Use when	Wide net, low-fidelity job intent	Targeted outreach, decision-maker capture
Cost	Low	Higher (auth session + Playwright)

Webhook contract

actor.jsonjson

1{

2 "eventTypes": ["ACTOR.RUN.SUCCEEDED", "ACTOR.RUN.FAILED", "ACTOR.RUN.TIMED_OUT", "ACTOR.RUN.ABORTED"],

3 "requestUrl": "https://scraper-webhook.51ultron.com/apify",

4 "payload": { "actorName": "linkedin-jobs-guest", "source": "linkedin", "datasetId": "<id>" }

5}

File map

actors/linkedin-jobs-guest

.actor

actor.json

INPUT_SCHEMA.json

src

__main__.py

Dockerfile

requirements.txt

README.md