Rafael Barreto Haddad

Use this Actor to monitor competitor faq and support policy drift changes and return decision-ready change signals. Detect competitor support-policy, FAQ, SLA and return-policy shifts from recurring website-content datasets.

Use this Actor to analyze conference exhibitor churn and return decision-ready structured signals. Compare recurring trade-show exhibitor datasets to identify new exhibitors, lost exhibitors, category churn, and competitor event-presence shifts.

Turn job-posting snapshots into company and role signals that suggest contractor demand is shifting toward permanent employment. Returns structured, machine-readable results for repeatable research, monitoring, automation, Apify Tasks, API workflows, and AI agents. Returns structured.

Use this Actor to analyze issuer credit and debt stress and return decision-ready structured signals. Detect issuer downgrade momentum, rating outlook shifts and debt-stress changes from recurring rating and financial datasets.

Unify App Store and Google Play review exports into feature demand, bug concentration, sentiment and product-priority signals. Returns structured, machine-readable results for repeatable research, monitoring, automation, Apify Tasks, API workflows, and AI agents. Returns structured.

Build source-to-destination talent-flow intelligence between competing companies from recurring employee datasets. Returns structured, machine-readable results for repeatable research, monitoring, automation, Apify Tasks, API workflows, and AI agents. Returns structured.

Profile an Apify Dataset or supplied records to measure cardinality, null rates and field distribution changes, then flag anomalies against an optional baseline for data-quality monitoring.

Find duplicate groups in Apify datasets, quantify duplicate risk, and generate deterministic merge recommendations without mutating the source. Gen2 adds baseline comparison, economic impact, confidence, and explicit automation decisions. Returns structured, machine-readable results.

Use this Actor to monitor dataset diff and change changes and return decision-ready change signals. Compare two Apify datasets or inline snapshots and explain added, removed, and changed records plus field-level change frequencies.

Use this Actor to monitor dataset freshness and sla compliance changes and return decision-ready change signals. Measure dataset recency against a timestamp field and enforce freshness, minimum-volume, and recent-item SLA thresholds for scheduled pipelines.

Scan Apify datasets for likely personal or sensitive data patterns and return masked, field-level exposure evidence for privacy and pipeline controls. Returns structured, machine-readable results for repeatable research, monitoring, automation, Apify Tasks, API workflows, and AI.

Least-privilege Apify-native dataset gate focused on explainable pipeline stopping, schema-drift fingerprints, multi-rule validation, and Actor-to-Actor integration safety. Returns structured, machine-readable results for repeatable research, monitoring, automation, Apify Tasks, API.

Use this Actor to monitor dataset schema drift and contract changes and return decision-ready change signals. Detect top-level field additions, removals, and type changes in Apify datasets with deterministic schema fingerprints and optional pipeline stopping. Returns structured.

Detect newly observed domains that resemble protected brands and rank registration, WHOIS and DNS risk signals. Returns structured, machine-readable results for repeatable research, monitoring, automation, Apify Tasks, API workflows, and AI agents. Returns structured, machine-readable.

Use this Actor to analyze ebay sold-comps and resale arbitrage and return decision-ready structured signals. Turn eBay sold-listing exports into realized-price, sell-through, liquidity and resale-margin opportunity intelligence.

Turn recurring job datasets into employer concentration risk across roles, locations and hiring clusters.

Score Etsy niches for product momentum, seller density, pricing room and saturation using recurring listing datasets. Returns structured, machine-readable results for repeatable research, monitoring, automation, Apify Tasks, API workflows, and AI agents. Returns structured.

Track EU AI Act and GPAI obligations, enforcement signals and implementation changes, then rank compliance impact, deadlines and escalation priorities. Returns structured, machine-readable results for repeatable research, monitoring, automation, Apify Tasks, API workflows, and AI.

Analyze Meta Ads Library export datasets to compare creatives, offers, CTAs, landing pages, fatigue signals and repeat-run advertising changes.

Analyze Facebook page and post datasets to measure content momentum, engagement quality, topic shifts and competitor brand signals across repeat runs.

Monitor openFDA FAERS adverse-event signals by drug name. Compare current and prior reporting windows, serious/death shares, reaction terms and run-to-run changes for non-causal pharmacovigilance watchlists. Returns structured, machine-readable results for repeatable research.

Turn FDA recall datasets into recalling-firm concentration, Class I exposure, distribution breadth and supplier-risk signals.

Monitor Federal Register topics through the official API, detect new or materially updated documents, rank materiality and keep state between runs for compliance, legal and policy watchlists. Returns structured, machine-readable results for repeatable research, monitoring, automation.

A mixed-format ingestion layer that converts external structured files into normalized Apify Dataset rows, not merely a profiler or dataset-to-dataset transformer. Returns structured, machine-readable results for repeatable research, monitoring, automation, Apify Tasks, API workflows.