junipr

Extract publicly visible business citation/listing information from directory URLs and normalize NAP, categories, website links, hours, and...

Audit collection/category pages for product count, sort/filter signals, merchandising blocks, out-of-stock products, duplicate tiles, price ranges,

Compare colleges using structured outcomes metrics such as completion, earnings, debt, retention, cost, admission, and program-level indicators from supplied datasets or official-data exports.

Track competitor content pages for title, heading, date, section, FAQ, media, and CTA changes between snapshots.

Track competitor offer/landing/pricing pages for headline, positioning, promo, guarantee, free trial, discount, lead magnet, and CTA changes

Compare owned and competitor product pages for visible price position, sale badges, shipping text, ratings, availability, and offer presentation.

Aggregate SERP result snapshots into competitor domain share, rank distribution, result-type ownership, and query coverage reports

Monitor container image tags/digests for changes, additions, removals, and version shifts.

Collect source evidence for a content brief from target query SERPs and supplied URLs, extracting titles, headings, questions, stats-like claims, sources, and content-format signals.

Audit public content pages for decay risk proxies such as stale dates, outdated year references, broken cited links, SERP title mismatch, competitor freshness gaps, and lost freshness signals.

Extract published, modified, updated, visible, sitemap, and HTTP date signals and flag freshness issues.

Compare owned pages against top-ranking SERP pages to identify missing subtopics, headings, FAQs, entities, media signals, and content-format gaps

Inventory consent banner signals, consent-management scripts, tracker-like resources, and policy links from public HTML.

Compare cookie policy disclosures against observed cookies/scripts and identify mismatches.

Parse CSP headers, meta tags, and supplied policies, then compare page resource hosts to directive coverage.

Deep-analyze Content Security Policy headers and flag unsafe or missing directives.

Find rows in one CSV that do not have matching keys in another CSV, with support for composite keys, normalization rules, duplicate diagnostics, and left-only/right-only export reports.

Check whether two CSV files are safe to join by analyzing key coverage, null keys, duplicates, type mismatches, whitespace/case drift, cardinality, unmatched rows, and likely row multiplication.

Profile CSV columns for inferred types, null rates, uniqueness, sample values, duplicates, and drift risks.

Turn CSV/tabular data into KPI summaries, dashboard-ready metrics, and insight reports.

Validate Apify dataset rows for schema drift, null spikes, duplicate keys, type mismatches, and delivery-readiness issues. Outputs row-level QA results plus a summary report.

Turn structured JSON, CSV, or Apify dataset rows into deterministic executive summaries, KPI rollups, anomalies, recommendations, and Markdown report artifacts.

Audit dependency manifests for license types, unknown licenses, and policy risk.

Check dependency manifests, lockfiles, Dockerfiles, and workflow references for exact pinning, floating ranges, missing lockfiles, mutable tags, integrity metadata, and dependency hygiene warnings.