Analyse Google Maps, TripAdvisor, Booking, App Store and Google Play reviews: complaint themes ranked by star impact, trends, quotes and reply drafts.
This Actor transforms review datasets from Google Maps, TripAdvisor, Booking.com, the App Store and Google Play into prioritized, actionable fix lists and per-review reply drafts. It applies NLP and AI to tag reviews with short topic labels, group labels into a stable set of complaint and praise themes, compute a priority score based on mention counts and star impact, detect trends by comparing recent and prior periods, and surface example quotes and escalation candidates (safety, security, legal, privacy, data-loss and other high-severity issues). For apps it generates product-feedback themes (crashes, bugs, login/account issues, missing features, pricing/subscription, ads, UX, performance, support) and identifies problematic app versions. The Actor produces concise summaries of what to fix first, counts and average ratings per theme, trend indicators, multilingual reply drafts tailored to review language with sign-off options and store-length adjustments, and applies automated redaction of personal names in excerpts and drafts.
What a run is charged for
| Event | What it covers | Price |
|---|
| Analysed review main |
One review with text analysed: themes, sentiment, severity and escalation check |
$0.003 |
| Reply draft written |
One reply draft delivered for a review (never posted by the Actor) |
$0.002 |
| Place or app report |
Theme taxonomy, ranking, trend and fix-first list for one place or app |
$0.02 |
A run will not start unless its budget covers at least $0.25.
Audit the websites of Google Maps businesses, score each 0-100 as a web design lead and get a ready outreach pitch. CSV + Markdown. From $0.002 per place.
Performs automated website audits for local businesses sourced from Google Maps datasets and produces per-business opportunity scoring and outreach content for web design, SEO, and local-marketing outreach. The Actor inspects whether a business has an own website or only a social/booking/directory presence, checks site availability and HTTPS, detects mobile viewport configuration, measures homepage HTML download time and document size, counts scripts/styles/images, evaluates title/meta tags and H1 usage, detects online booking/ordering widgets (examples: Calendly, Square, Vagaro, Booksy, Fresha, Mindbody, OpenTable, Resy, Toast, DoorDash, Shopify), verifies presence of a contact page or form, detects outdated copyright year, checks main navigation links for errors, and identifies visible website builders/platforms (WordPress, Wix, Squarespace, etc.). From those factual checks an LLM generates a 0–100 opportunity score, three concrete reasons, and a short outreach pitch addressed to the business. The Actor also classifies business website situations (no website, social-only, booking-platform-only, directory-only, unreachable, blocked, audited) and applies robots.txt-first, lightweight, rate-limited HTTP checks to scale audits across large batches.
What a run is charged for
| Event | What it covers | Price |
|---|
| Audited website main |
A business's own website was loaded, checked, scored and pitched |
$0.006 |
| Place flagged |
A business with no own website (none, social, booking or directory page only, or site down) scored and pitched |
$0.002 |
A run will not start unless its budget covers at least $0.5.
Turn Google search results into SEO content briefs: intent, word count, H2/H3 outline, entities, content gaps, FAQ, titles, meta. $0.05 per brief.
Generates writer-ready SEO content briefs and optional article drafts by analyzing top-ranking organic search results for each keyword; the Actor reads top pages, extracts and measures main article text and structure (headings, H2/H3, section openings), classifies search intent and funnel stage, computes a target word count using statistics from competing pages, produces a multi-level H1/H2/H3 outline with coverage counts and identified gap sections, lists must-cover subtopics and entities with mention counts, surfaces content gaps and guidance on how to use them, pulls "People also ask" questions with answer guidance, suggests multiple title and meta description options, proposes internal-link ideas to provided site pages, and compiles a competitor summary per result (position, page type, word counts, heading counts, presence of tables/videos/FAQ blocks, last update and a strength/weakness note). Optionally creates a first draft up to ~2,500 words written from the brief with placeholders for verifiable facts. Technical behavior: analyzes only the main text (strips navigation, footers, sidebars, cookie banners and comments), respects robots.txt and per-site rate limits, flags pages that cannot be analyzed (video/social/file/JS-only pages) and lists them as not analyzed, and limits per-page analysis to leading sections and headings so very long pages are summarized rather than fully reprinted.
What a run is charged for
| Event | What it covers | Price |
|---|
| Content brief main |
One SEO content brief delivered for one keyword (Markdown + dataset row) |
$0.05 |
| Article draft |
One first draft written from the brief, only when drafts are turned on |
$0.03 |
A run will not start unless its budget covers at least $0.5.
See which competitor ad angles, hooks and offers run longest in the Facebook Ad Library, find gaps and get original ad concepts. $0.005 per ad.
A tool that ingests Facebook/Meta Ad Library exports and analyzes competitor ads to label creative and copy with marketing dimensions (angles, hooks, offers, emotions, creative format, audience cues), compute ad timing and longevity metrics, detect recent tests and format/media details, identify gaps and heavily-tested angles across brands, and generate original ad concepts for a given product brief. Technical capabilities include automated parsing of ad metadata and one creative image/frame, AI labeling of copy and creative into semantic categories, algorithmic computation of ad duration and medians as a longevity signal, aggregation into per-brand and overall statistics, gap detection across angles/offers/hooks/emotions/formats, and programmatic generation of multiple ad concepts (headline, primary text, description, CTA, visual idea, on-image text) grounded in proven angles and uncovered gaps while checking concepts against competitor copy.
What a run is charged for
| Event | What it covers | Price |
|---|
| Analysed ad main |
One competitor ad labelled with its angle, hook, offer, emotion, format and audience |
$0.005 |
| Ad concept |
One original ad concept for your product (headline, primary text, CTA, visual idea) |
$0.01 |
A run will not start unless its budget covers at least $1.50.
Turn LinkedIn job postings into company sales profiles: hiring velocity by function, tech stack, quoted buying signals, ICP fit score and a why-now angle.
Transforms job-posting scrapes into per-company profiles for sales prospecting by aggregating job postings and extracting hiring metrics, technology mentions, and quoted buying signals. The Actor computes hiring velocity by function (postings per period, seniority mix), identifies tools and technologies named in postings with occurrence counts, extracts verbatim evidence phrases that indicate projects or needs, scores each company against a provided ideal-customer profile (0–100) with the reasons, and generates a concise two-sentence "why now" outreach angle. Technical capabilities include per-company aggregation of recent postings, natural-language extraction of signals and tools from job descriptions (analyzing the initial portion of each description), masking of personal contact data and links before analysis, deduplication of identical reposts, AI-driven classification and scoring with quoted-evidence retention, and flags for likely staffing-agency postings.
What a run is charged for
| Event | What it covers | Price |
|---|
| Company profile main |
One company aggregated, scored against your ICP, with a why-now angle |
$0.01 |
| Job posting analysed |
One unique job posting classified and mined for tools and buying signals |
$0.002 |
A run will not start unless its budget covers at least $0.1.