claude

apify-ashby-jobs-scraper

"Scrape Ashby jobs or discover companies using Ashby with the Apify Ashby Job Board API Actor (johnvc/ashby-job-board-scraper). Job mode returns live job rows with title, company, location, remote and employment fields, publish date, apply URL, employer-published salary columns, equity flag, and Markdown descriptions. Company mode finds Ashby boards from a bundled directory or checks a prospect list, returning company name, board slug and URL, live open-job count, and verification fields. Takes company names, board slugs, or board URLs; supports pre-billing job filters and publishedAfter feeds. Use for Ashby jobs data or API requests, salary and remote-role collection, job-board pipelines, companies using Ashby/Ashby customers, ATS market maps, prospect checks, and recruiting or sales target lists. Billed per delivered result with no start fee, and MCP-ready for Claude and other AI agents."

294 on GitHubApache-2.0updated yesterdaydata-extraction
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Plugin apify-ashby-jobs-scraper from marketplace awesome-skills in apify/awesome-skills. Commands read from the repo's manifest — today.

What it installs

Skills (1)

  • apify-ashby-jobs-scraper

    Scrape Ashby jobs or discover companies using Ashby with the Apify Ashby Job Board API Actor (johnvc/ashby-job-board-scraper). Job mode returns live job rows with title, company, location, remote and employment fields, publish date, apply URL, employer-published salary columns, equity flag, and Mark

View source on GitHub skills.sh

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Check whether a planned Apify Actor is worth building before writing code. The user describes the Actor; the skill measures demand (Google Ads search volume and CPC for "<site> scraper / api / mcp / data" keywords, plus the target site's Similarweb traffic), checks for an official API, counts competing Actors on the Apify Store, then digs into competitors in proportion to how crowded the niche is: input-schema powerup coverage and pricing, issue-queue and run-failure quality audit, and n8n template demand. Ends with a Markdown report answering: is there demand, is there room against competition, and which value-added features would make the Actor stand out. Use when the user asks to "check the potential of an Actor idea", "validate an Actor idea", "should I build an Actor for <site>", "is there demand for a <site> scraper", "is it worth building a <site> API or MCP on Apify", or describes a planned Actor and asks whether it makes sense. Requires Apify CLI or Apify MCP server.

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294

Research, spy on, and analyze ads across Meta (Facebook & Instagram), Google (Ads Transparency Center + paid search results), TikTok (Ads Library + Creative Center), LinkedIn Ad Library, and X (Twitter — promoted tweets, best-effort) using Apify Actors. Use when user asks about competitor ads, ad library research, winning creatives, ad copy analysis, landing page audits from ads, cross-platform ad audits, brand transparency checks, or any task involving paid ad creatives, advertiser data, or ad targeting from public ad libraries.

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Track whether a brand and its competitors get cited or mentioned across Google AI Overviews, Google AI Mode, ChatGPT Search, Perplexity, Microsoft Copilot, and Google Gemini for a defined set of prompts, on a recurring schedule. Use when user asks to track AI visibility, monitor brand mentions in AI search, track ChatGPT citations, do AI search SEO tracking, GEO tracking (Generative Engine Optimization), AEO tracking (Answer Engine Optimization), monitor Perplexity citations, track AI Overviews mentions, see if their brand shows up in AI search, discover which prompts competitors rank for in AI search, find citation opportunities, or audit a website for AI visibility readiness.

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Pull structured Apple App Store and Google Play data — app metadata, price, rating, the 1–5★ ratings histogram, version, developer, and reviews — and watch it for changes over time. Use when the user asks to look up an iOS or Android app by App ID, bundle ID, package name or app name, compare a set of competitor apps across both stores, monitor a competitor's price or rating for changes, track when an app ships a new version, scrape App Store or Google Play reviews, resolve a bundle ID to a full app record, check an app's rating across multiple country storefronts, build an ASO or app-market dataset, or set up a recurring app-store watch on an app's price, rating and version. One routed Actor, praise-most-high/app-store-intelligence, is built by this skill's author; every other row is unaffiliated (see Disclosure).

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Diagnose and recover a scrape that is blocked, throttled, or served empty or partial content, in cost order, before paying for a heavier Actor. Use when a run returns 0 items, when a site answers 403, 429 or a challenge page, when the HTML comes back empty or truncated, when a request fails with no response at all, when the page shows data in a browser that the Actor does not see, or when a scraper that worked yesterday suddenly returns nothing. Triggers - "I'm getting blocked", "403 from the site", "429 rate limited", "Cloudflare challenge", "scraper returns empty results", "connection reset", "page loads in my browser but not in the Actor", "do I need residential proxies", "should I switch to a browser", "my scraper broke overnight". Escalates in cost order - a cheaper published source first, then reachability, request rate and IP spread, request fidelity, session tokens, the site's own internal API, browser last.

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Find and enrich B2B leads from Booking.com - hotels, apartments, and vacation rentals - and pull each host's or property manager's real contact details (email, phone, company name, registration number). Use when the user says things like "get emails from Booking.com", "Booking.com lead generation", "find tour operator / property manager / host contacts", "scrape accommodation owner emails", or "build a list of Booking hosts". The host's email is usually already inside the Booking scraper's traderInfo field (EU/AU trader-transparency disclosure) - this skill leads with that and uses a Google Maps email scraper only as a fallback, instead of relying on Google Maps first (which mostly returns the wrong business).

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