Find and analyze scholarly research across the major open academic databases — search and rank papers by field-normalized impact, run a literature review, trace citation graphs, find similar / foundational / breakout papers, map a field's institutions and funders, compare institutions, build a citation-safe RAG corpus, check whether a preprint is safe to cite, mine biomedical entities and datasets, grade clinical evidence, and look up or disambiguate researchers. Covers all fields via OpenAlex, Semantic Scholar, arXiv, Crossref, PubMed, Europe PMC, CORE, DBLP, and ORCID. Use when someone wants academic papers, peer-reviewed studies, a literature or systematic review, an evidence summary, the most-cited or seminal papers, research trends, a research-funding or institution landscape, or a researcher profile — e.g. "find papers on...", "what does the research say about...", "summarize the literature on...", "who's winning this field".
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Validate, test, compare, and monitor your own Apify Actors across the full build-to-production lifecycle. Covers preflight input validation, multi-Actor pipeline validation, A/B comparison of two Actors for a production switch, post-run output validation (silent data failures), deploy-gate regression detection, fleet-wide quality scoring, PII/GDPR/ToS pre-publish risk triage, and fleet profit and next-action analytics. Most of these Actors return a stable decision enum (act_now / monitor / ignore, or switch_now / canary / no_call) that CI gates and AI agents can branch on without parsing prose; the fleet-wide Actors return a scorecard or prioritized action queue. Use when someone wants to test an Actor before publishing, validate an input or pipeline, decide between two Actors, catch broken output, gate a deploy, audit Actor quality, check compliance risk, or analyse fleet revenue.
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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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Extract APAC company, exchange, and financial-disclosure data via Apify Actors — Korea, Japan, Taiwan, China, Hong Kong, Singapore, India, and SE Asia. Use to look up company registries (Singapore ACRA/UEN, Japan 法人番号, India MCA/OGD), pull listed-company disclosures (Japan TDnet 適時開示, Taiwan MOPS, HKEX 披露易, SGX, India SEBI), track insider/large-shareholder filings (Japan EDINET 大量保有報告書, HKEX 董事股權變動, China A-share 高管增减持), screen stocks on Asian exchanges (KOSPI, TSE/日経225, TWSE, SGX/STI, NSE/BSE India, Eastmoney A-shares, plus Vietnam/Indonesia/Thailand/Philippines/Malaysia), follow IPO calendars (HKEX, Korea, pan-APAC), and check Asian regulator enforcement (Singapore MAS, HK SFC). Triggers — "company registry in Singapore/Japan/India", "listed-company filings in Korea/Taiwan/Hong Kong", "insider filings in Japan/HK/China", "screen Asian stocks / KOSPI / TSE / TWSE / SGX", "Asia IPO calendar", "MAS/SFC enforcement". Factual public data for research — not financial or investment advice.
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App-store intelligence and ASO research across the Apple App Store, Google Play, and the Shopify App Store. Pull app details, exact ratings and ratings histograms, customer reviews, and keyword/category rankings, then compare an app against its competitors. Use when the user asks to scrape App Store or Google Play data, track app reviews or ratings over time, do ASO / app-store keyword rank research, monitor competitor apps, mine app reviews for sentiment or feature requests, or research the Shopify app ecosystem. Requires the Apify CLI or the Apify MCP server.
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