apify-ads-intelligence
Research, spy on, and analyze ads across Meta (Facebook & Instagram), Google (Ads Transparency Center + paid search results), TikTok (Ads Library + Creative…
Pull job postings from many boards in one run and prepare one validated, deduplicated table. Routes "find jobs / scrape job postings / build a job list / monitor new jobs / track a company's careers page" requests to a multi-board job scraper (LinkedIn, Indeed, Glassdoor, The
$ npx -y skills add apify/awesome-skills --skill apify-job-boards --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/apify-job-boardsContext preview
The summary Claude sees to decide when to auto-load this skill.
Pull job postings from many boards in one run and prepare one validated, deduplicated table. Routes "find jobs / scrape job postings / build a job list / monitor new jobs / track a company's careers page" requests to a multi-board job scraper (LinkedIn, Indeed, Glassdoor, The
name: apify-job-boards description: Pull job postings from many boards in one run and prepare one validated, deduplicated table. Routes "find jobs / scrape job postings / build a job list / monitor new jobs / track a company's careers page" requests to a multi-board job scraper (LinkedIn, Indeed, Glassdoor, The Muse plus keyless boards) or a remote-only aggregator (RemoteOK, We Work Remotely, Remotive, Jobicy, Himalayas, HN Who is hiring), with output-locality checks, per-board raw/qualified/deduplicated counts, only-new-jobs monitoring, per-board caps and honest cost estimates. Use when the user asks to scrape jobs across job boards, get Indeed or Glassdoor postings without an API key, collect remote developer jobs, watch a company's Greenhouse/Lever/Ashby careers page, or set up a daily new-jobs alert. author: Zakariae (Flash Scrape) author_url: https://github.com/ZAKRIAZ metadata: category: data-extraction keywords: "jobs, job-postings, job-boards, indeed, glassdoor, linkedin-jobs, remote-jobs, job-aggregator, job-alerts, careers-page, greenhouse, lever, ashby, recruiting, salary-data, apify"
Disclosure: the author of this skill owns both Actors it routes to (`flash_scraper/multi-jobboard-scraper` and `flash_scraper/remote-job-aggregator`). They are pay-per-result Actors on the Apify Store; no referral or tracking parameters are used anywhere in this skill.
Turn "I need job postings" into one validated, deduplicated dataset by routing the request to the right multi-board Actor, sizing the run so the user knows the cost before it starts, checking the returned locations and vacancy identities, and returning the rows with the board each job was found on. Treat the Actor output as raw input to these checks, not as proof that its location filtering or deduplication succeeded.
Prompts this skill handles:
For the Austin request, try all three requested boards, then validate each returned location and vacancy identity before delivery. If Glassdoor returns only wrong-city or unverifiable rows, deliver the qualified LinkedIn and Indeed rows as a partial result and report Glassdoor's raw, qualified and deduplicated counts as a board failure. Do not claim three-board coverage merely because Glassdoor returned rows.
Out of scope (the boundary):
Never paste a token into a URL or into a file inside this skill; pass it as `Authorization: Bearer` (the CLI does this for you).
Copy this checklist and track progress:
Task Progress: - [ ] Step 1: Get the four anchors (what, where, remote-only?, how many) - [ ] Step 2: Route to the Actor - [ ] Step 3: Build the input and state the cost - [ ] Step 4: Run and wait - [ ] Step 5: Validate and deliver: locality, vacancy identity, per-board counts and failures
Ask these as one block; do not start a run without them.
1. **What** — the role or keyword(s), e.g. `data analyst`, `registered nurse`. Several are fine. 2. **Where** — a city/region string like `Chicago, IL`, or "remote". 3. **Remote-only?** — yes/no. "Yes" with no city routes to the remote aggregator (Step 2). 4. **How many** — a per-board cap. Default to 20 per board for a first run; ask before going above 100.
Optional follow-ups, only if the user raises them: posted-within window, salary required, job type, exclude staffing agencies, company watch list, Slack/Discord webhook for alerts.
| User need | Actor ID | Tier | Best for | |-----------|----------|------|----------| | Jobs by role + location across the big boards | `flash_scraper/multi-jobboard-scraper` | community | LinkedIn, Indeed, Glassdoor, The Muse by default; 8 more keyless boards optional; returns raw candidates that still require locality and vacancy-identity validation | | Remote-only jobs from the remote boards | `flash_scraper/remote-job-aggregator` | community | RemoteOK, We Work Remotely, Working Nomads, DevITjobs, The Muse, Remotive, Jobicy, Himalayas, HN "Who is hiring", Arbeitnow (opt-in); cheapest per row | | Watch named companies' careers pages | `flash_scraper/multi-jobboard-scraper` with `atsCompanies` | community | Greenhouse, Lever, Ashby and other ATS boards read directly; combine with `onlyNewJobs` for a daily alert |
Rule of thumb: a city or country in the request → multi-board scraper. "Remote" and nothing else → remote aggregator. Both Actors run without an API key, login or cookies.
Check the live input schema before building input (fields change; the schema wins over this file):
apify actors info "flash_scraper/multi-jobboard-scraper" --input --json \ --user-agent apify-awesome-skills/apify-job-boards 2>/dev/null
apify actors info "flash_scraper/remote-job-aggregator" --input --json \ --user-agent apify-awesome-skills/apify-job-boards 2>/dev/null
**Multi-board (city/region search).** Field names as in the live schema:
{
"searchTerm": "dataCommunity collection of Apify agent skills for AI coding assistants
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