Microsoft Marketplace & AppSource Offers Tracker

Scrape and monitor the Microsoft commercial marketplace: every public offer on Azure Marketplace and AppSource, including SaaS apps, virtual machine images, Azure applications, containers (AKS), consulting services and managed services. That's about 28,000 offers. Each offer comes with its publisher, offer type, categories, industries, ratings (Microsoft marketplace + G2 reviews, star distribution), popularity scores, plans, pricing options (free plan, free trial, pay-as-you-go / transactable, BYOL), preview and stop-sell status, storefronts, creation and last-updated dates, and links.

Need vendors instead of listings? Set outputLevel: "publishers" and get one row per publisher with its whole portfolio across all offer types: offer count, website domain, Microsoft partner ID, total ratings and weighted average rating, top offer, categories, industries, transactable / free-trial / Azure-benefit-eligible offer counts and the newest launch, plus alerts when a publisher lists a new offer, removes one or collects new reviews.

Sizing a niche before you build or list? Add includeMarketReport: true (or marketReportOnly: true) and get a market report per search term: how many offers and publishers compete, how concentrated it is, the pricing mix (transactable, free trial, contact-only), how many offers launched in the last 90 / 365 days, how many are rated, who holds the ratings, the most-rated offers and weak incumbents (many ratings, low score).

Need what customers say? Add includeReviews: true and get the reviews shown on each listing as rows: G2 reviews (newest up to 200 per product) with the "like best", "dislike" and "problems solved" answers as separate fields and the reviewer's company size, plus reviews written on AppSource / the Azure portal. No proxy and no login: Microsoft serves them from a public endpoint. includeReviewInsights: true turns them into one insights row per product (complaint themes from the "dislike" answers, praise, use cases, ratings by company size) and a competitor comparison.

In monitor mode every run is compared with the previous one. You get new offers, new ratings, removed offers, plans added or removed, free trial or PAYG added, preview → GA, stop-sell, renames, category changes and listing updates, so a daily schedule becomes an alert feed for your market.

No login, no API key, no browser. It reads Microsoft's public catalog API, so it's fast and reliable.

Why this one?

• The whole catalog, not one storefront. Azure Marketplace and AppSource, all offer types, in one schema. Filter by offer type, category, industry, publisher, storefront, pricing option or keyword.
• Monitor mode built in. outputMode: "new" returns only offers never seen before. "changed" adds plan-added, plan-removed, free-trial-added, free-plan-added, payg-added (became transactable), preview-to-ga, stop-sell, back-on-sale, renamed, categories-changed, listing-updated, new-ratings and removed.
• Ratings & reviews count (new). rating and ratingCount exactly as the listing shows them, split into marketplaceRating / marketplaceRatingCount (reviews left on Microsoft's marketplace) and g2Rating / g2RatingCount (G2 reviews Microsoft displays), plus a 1–5 star ratingDistribution and catalog popularity scores. Filter with minRating / minRatingCount, rank with sortBy: "most-rated" or "top-rated", and get a new-ratings alert (with ratingsAdded and previousRating) when a competitor collects reviews.
• Publisher (vendor) level (new). outputLevel: "publishers" groups matching offers by publisher and loads each publisher's full catalog (server-side, every offer type), so "who sells security SaaS on Azure" becomes a vendor list with offerCount, websiteDomain, partnerId, totalRatings, averageRating, topOffer, transactableOffers, azureBenefitEligibleOffers, offersCreatedLast90Days and the offers[] list. Monitor alerts: new, new-offer (with newOffers), offer-removed, new-ratings, rating-up / rating-down.
• Niche market reports (new). includeMarketReport / marketReportOnly turn a keyword into one market-report row: offersMatched, publishers, top10PublishersOfferSharePct, offer-type and pricing mix, transactablePct, contactOnlyPct, AppSource vs Azure storefronts, newOffersLast90Days / 365Days, top categories and industries, ratedOffersPct, ratingWeightedAverage, rating distribution, top3PublishersRatingSharePct, mostRatedOffers and weakIncumbents. With trackChanges it adds sinceLastRun (new offers, ratings added and who got them). No other Microsoft marketplace scraper gives you the market, only the list.
• G2 reviews without fighting G2 (new). includeReviews returns the G2 reviews Microsoft mirrors on the listing (the newest up to 200 per product), split into likeBest, dislike, problemsSolved and recommendations, with rating, title, companySize (Enterprise / Mid-Market / Small-Business), date and g2ReviewUrl, plus AppSource / Azure portal reviews with the vendor's reply. Works for any product listed on Azure Marketplace or AppSource (thousands of B2B tools), no proxy needed. onlyNewReviews turns it into a review monitor. Reviewer names and job titles are not collected.
• Review insights & competitor comparison (new). includeReviewInsights reads the "What do you dislike?" answer of every review (G2 ratings are mostly 4-5 stars, so counting only low-star reviews misses most complaints) and returns topIssues across 14 B2B themes (pricing & licensing, learning curve, usability, performance, bugs, setup, integrations, reporting, customization, support, documentation, alerts & noise, mobile, security) with quotes, topPraise, featureRequests, topComplaintPhrases, topUseCasePhrases (from "What problems is the product solving?"), noDislikeSharePct, byCompanySize + weakCompanySize, rating trend and lastReviewAt. With 2+ products a review-comparison row shows each one's relative weaknesses and strengths per 100 reviews.
• Plans per offer. Plan ids and names with free / pay-as-you-go / free trial / BYOL flags, so you can see how competitors package their offer.
• "What just launched" in one click. Sort by newest (listing creation date) to see the offers published this week.
• Watchlist. Paste offer URLs or ids to track your own listing and your competitors'.
• No contact harvesting. Only company-level data: publisher name, website, support and privacy links.

Use cases

• ISVs selling through Microsoft: watch competitors' listings, plans and pricing options, and get alerted when a new competitor lists in your category.
• Microsoft partners, CSP resellers & distributors: build and refresh lists of transactable SaaS offers by category or industry.
• B2B sales & partnerships teams: find companies that just launched on Azure Marketplace or AppSource. A new listing means a company is investing in the Microsoft channel.
• Partner, alliance & channel sales teams: build account lists of software vendors active on Azure (one row per company, with website domain and portfolio size) and see who is expanding: new offers in the last 90 days, transactable offers, Azure-benefit eligibility.
• Market research & investors: size categories (AI apps and agents, security, data), track how many offers go transactable, and follow launches over time.
• "Should we list on Azure Marketplace?" Run one report per candidate keyword (marketReportOnly) and compare: few rated offers + high transactable share + weak incumbents = an open niche with buyers who purchase through Microsoft.
• Product marketing & competitive intelligence: pull competitors' G2 reviews (likes / dislikes / use cases) for a battlecard in one run, see which complaint each competitor gets more than the rest of the niche, and which company sizes are least happy.
• Cloud marketplace consultants: monitor clients' listings for unwanted changes (stop-sell, removed plans).

Input

Field	Description
outputLevel	offers (one row per offer, default) or publishers (one row per publisher with its full portfolio)
searchTerms	Whole-word match on name, summary, publisher and keywords (all words of a term must appear; plurals count, so "siem" finds "SIEMs" but not "Siemens"), e.g. "copilot", "data security"
offerTypes	saas, virtual-machine, azure-application, container, consulting-services, managed-services, other
categories	Catalog category ids, e.g. security, ai-apps-and-agents, it-and-management-tools, analytics
industries	e.g. Healthcare, Financial, Government, Manufacturing
publishers	Publisher name contains, or exact publisherId
includeMarketReport	Also output one market-report row per search term (or one for the whole filter set)
marketReportOnly	Only the market report rows, no offer rows (pay for the reports only)
offerUrls	Watchlist: offer URLs or ids such as dynatrace.dynatrace-apm
storefront	any, appsource, azure-marketplace
pricing	free, free-trial, payg, byol
includePreview, includeStopSell	Include preview / stop-sell offers
sortBy	newest, last-modified, name, most-rated, top-rated (offers with 5+ ratings first)
includeRatings	Add ratings, star distribution and popularity (default on, no extra charge)
minRating, minRatingCount	e.g. "4.5" and 20: only well-reviewed offers
maxResults	Max offers (or publishers) to output (0 = no limit)
maxOffersPerPublisher	Publishers mode: offers loaded per publisher (default 100, matching offers first)
includePlans	Add plans, website and links (default on)
includeDescription	Add the full description as plain text
includeReviews	Add review rows: G2 reviews shown on the listing (likes / dislikes / problems solved, company size, link) + AppSource / Azure portal reviews
maxReviewsPerOffer	Review rows per offer, newest first (default 50; up to 200 G2 + all marketplace reviews exist)
maxReviewRating	Only reviews with at most N stars, e.g. 3 (0 = all)
onlyNewReviews	Review monitor: only reviews not seen in the previous run (same stateKey)
includeReviewInsights	One review-insights row per offer + a review-comparison row (2+ offers with 10+ reviews)
outputMode	all, new (never seen before) or changed (new + changed + removed)
trackChanges	Add change fields in all mode too
reportRemoved	Report offers that disappeared (monitor mode)
stateKey	Monitor name: use one per schedule

Example: newest Copilot-related SaaS offers:

{
  "searchTerms": ["copilot"],
  "offerTypes": ["saas"],
  "sortBy": "newest",
  "maxResults": 100
}

Example: the best-reviewed security SaaS apps (ranked like a "top 50" list):

{
  "offerTypes": ["saas"],
  "categories": ["security"],
  "sortBy": "top-rated",
  "minRatingCount": 20,
  "maxResults": 50
}

In October 2026 this kept 60 of 1,169 security SaaS offers (only ~5% have 20+ ratings); the scan with ratings took about 15 seconds. Top results: FileWall for Microsoft 365 (5.0, 38 marketplace ratings), Huntress Managed EDR (4.92, 892 G2 ratings), Red Sift OnDMARC (4.92, 110 marketplace + G2).

Example: daily alert for new or changed security SaaS offers:

{
  "offerTypes": ["saas"],
  "categories": ["security"],
  "maxResults": 0,
  "outputMode": "changed",
  "stateKey": "security-saas"
}

Example: the 25 security SaaS vendors with the most reviews, with their whole Azure portfolio:

{
  "outputLevel": "publishers",
  "offerTypes": ["saas"],
  "categories": ["security"],
  "sortBy": "most-rated",
  "maxResults": 25
}

Example: G2 review insights + comparison for the 5 most-reviewed observability products (no review rows, so you pay only for 5 offers and 6 insight rows):

{
  "searchTerms": ["observability"],
  "offerTypes": ["saas"],
  "sortBy": "most-rated",
  "maxResults": 5,
  "includeReviewInsights": true
}

Example: weekly feed of new reviews of your product and a competitor:

{
  "offerUrls": ["dynatrace.dynatrace-apm", "autopilotworkflowsolutions.autopilot"],
  "includeReviews": true,
  "onlyNewReviews": true,
  "maxReviewsPerOffer": 200,
  "stateKey": "review-feed"
}

Example: watch your listing and two competitors:

{
  "offerUrls": [
    "https://marketplace.microsoft.com/en-us/marketplace/apps/dynatrace.dynatrace-apm",
    "datadog1591740804488.dd_liftr_v2"
  ],
  "outputMode": "changed",
  "stateKey": "competitors"
}

Output

{
  "offerId": "clockworksdatainnovationbv.blicker-saas-transact-v2",
  "name": "Blicker - utility meter readout assistant",
  "publisher": "Clockworks Data Innovation B.V.",
  "publisherId": "clockworksdatainnovationbv",
  "offerType": "saas",
  "summary": "Blicker delivers instant AI-powered utility meter readings from photos with super-human accuracy.",
  "categories": ["ai-for-business", "business-robotic-process-automation", "business-applications", "ai-apps-and-agents", "it-and-management-tools"],
  "industries": [],
  "keywords": ["Blicker - utility meter readout assistant"],
  "pricing": ["free", "payg"],
  "hasFreePlan": true,
  "hasFreeTrial": false,
  "hasPayg": true,
  "isByol": false,
  "isPreview": false,
  "isStopSell": false,
  "onAppSource": false,
  "onAzureMarketplace": true,
  "storefronts": ["AMP", "Ibiza", "Cosell"],
  "createdAt": "2023-03-14T20:12:41.893Z",
  "lastModifiedAt": "2026-08-20T14:13:21.034Z",
  "version": "c6a47be5-2b94-474a-84bc-21416ecf02cf",
  "url": "https://marketplace.microsoft.com/en-us/marketplace/apps/clockworksdatainnovationbv.blicker-saas-transact-v2",
  "planCount": 7,
  "plans": [
    { "planId": "pay-as-you-go", "name": "Pay-as-you-go plan", "isFree": true, "isPayg": false, "hasFreeTrial": false, "isByol": false, "isStopSell": false, "pricingTypes": ["Payg", "Free"] },
    { "planId": "starter-3k", "name": "Starter-3K plan", "isFree": false, "isPayg": true, "hasFreeTrial": false, "isByol": false, "isStopSell": false, "pricingTypes": ["Payg"] }
  ],
  "website": "https://www.blicker.ai/",
  "privacyPolicyUrl": "https://www.blicker.ai/privacy",
  "supportUrl": "https://www.blicker.ai/support/microsoft",
  "iconUrl": "https://catalogartifact.azureedge.net/publicartifacts/.../Large.png",
  "rating": null,
  "ratingCount": 0,
  "ratingSource": null,
  "marketplaceRating": null,
  "marketplaceRatingCount": 0,
  "g2Rating": null,
  "g2RatingCount": 0,
  "ratingDistribution": null,
  "popularity": { "appSource": null, "azureMarketplace": 0.56, "azurePortal": 0.56 },
  "isNew": false,
  "firstSeenAt": "2026-10-05T15:02:28.287Z",
  "changeTypes": ["plan-added"],
  "plansAdded": ["starter-3k"],
  "plansRemoved": [],
  "scrapedAt": "2026-10-06T08:00:12.118Z"
}

storefronts are Microsoft's internal codes: AMP = Azure Marketplace, Appsource = AppSource, Ibiza = Azure portal, Cosell = co-sell catalog. Change fields appear when outputMode is new / changed or trackChanges is on. Rating fields of a reviewed offer (Red Sift OnDMARC, October 2026):

{
  "rating": 4.92,
  "ratingCount": 110,
  "ratingSource": "marketplace+g2",
  "marketplaceRating": 5,
  "marketplaceRatingCount": 6,
  "g2Rating": 4.92,
  "g2RatingCount": 107,
  "ratingDistribution": { "5": 101, "4": 9, "3": 0, "2": 0, "1": 0 }
}

A publisher row (outputLevel: "publishers", ESET, October 2026, offers[] shortened):

{
  "publisher": "ESET",
  "publisherId": "esetspolsro1740646566580",
  "partnerId": "6156044",
  "website": "https://www.eset.com",
  "websiteDomain": "eset.com",
  "offerCount": 9,
  "portfolioComplete": true,
  "offerTypes": { "saas": 9 },
  "appSourceOffers": 8,
  "azureMarketplaceOffers": 9,
  "totalRatings": 994,
  "averageRating": 4.72,
  "marketplaceRatingCount": 0,
  "g2RatingCount": 994,
  "topOffer": { "name": "ESET PROTECT Core", "offerType": "saas", "rating": 4.72, "ratingCount": 994 },
  "categories": ["security", "compliance", "threat-protection", "information-protection", "identity-and-access-management"],
  "offersWithFreeTrial": 1,
  "transactableOffers": 9,
  "azureBenefitEligibleOffers": 9,
  "firstOfferAt": "2025-04-01T06:40:51.979Z",
  "newestOfferAt": "2026-09-16T04:08:59.657Z",
  "offersCreatedLast90Days": 1,
  "matchedOffers": ["ESET PROTECT Core Plus", "ESET PROTECT Core", "ESET PROTECT MDR"],
  "offers": [{ "offerId": "esetspolsro1740646566580.ap-2015-us-0325", "name": "ESET PROTECT Core", "offerType": "saas", "rating": 4.72, "ratingCount": 994, "pricing": ["payg"] }]
}

Publisher totals count each G2 rating set once (several offers of one vendor often show the same G2 product). In monitor mode a publisher row adds changeTypes (new, new-offer, offer-removed, new-ratings, rating-up, rating-down), newOffers, removedOffers, ratingsAdded, previousOfferCount and previousAverageRating. Offer rows also carry partnerId and azureBenefitEligible (counts toward an Azure consumption commitment).

rating, ratingCount and ratingDistribution are the combined values Microsoft shows on the listing; they don't always equal the sum of the two sources. rating is null and ratingCount is 0 when an offer has no ratings (most offers have none). popularity values are Microsoft's relative catalog scores (0–1) per storefront, null when not listed there. With new-ratings, ratingsAdded, previousRating and previousRatingCount show what changed; the first run after upgrading only records the counts. A removed offer is output as { "offerId", "name", "url", "changeTypes": ["removed"] }. A run summary is saved to the SUMMARY record in the key-value store.

Market report example

Input {"searchTerms": ["contract management"], "offerTypes": ["saas"], "marketReportOnly": true} returned (October 2026, shortened):

{
  "recordType": "market-report",
  "segment": "contract management",
  "offersMatched": 57,
  "publishers": 40,
  "top10PublishersOfferSharePct": 47.4,
  "transactablePct": 87.7,
  "freeTrialPct": 17.5,
  "freePlanPct": 33.3,
  "storefronts": { "appSourceOnly": 3, "azureMarketplaceOnly": 20, "both": 34 },
  "newOffersLast90Days": 3,
  "newOffersLast365Days": 16,
  "topCategories": [{ "value": "it-and-management-tools", "count": 29, "pct": 50.9 }, { "value": "business-applications", "count": 22, "pct": 38.6 }],
  "ratedOffersPct": 12.3,
  "ratingWeightedAverage": 4.53,
  "top3PublishersRatingSharePct": 94.8,
  "topPublishersByRatings": [
    { "publisher": "Conga Corporation", "ratings": 617, "ratingSharePct": 77.8 },
    { "publisher": "Glaass Pty Ltd", "ratings": 70, "ratingSharePct": 8.8 },
    { "publisher": "SIRIONLABS, INC.", "ratings": 65, "ratingSharePct": 8.2 }
  ],
  "mostRatedOffers": [{ "name": "Conga CLM", "publisher": "Conga Corporation", "rating": 4.46, "ratingCount": 617 }],
  "weakIncumbents": [],
  "sinceLastRun": { "newOffers": 1, "ratingsAdded": 5, "mostNewRatings": [{ "name": "Conga CLM", "ratingsAdded": 5 }] }
}

Read it as: 40 vendors, almost all transactable, but only 12% of offers have any rating and one vendor holds 78% of them, so buyer attention is concentrated and most listings are invisible. With several searchTerms you get one report per term. Reports cover every matched offer (not limited by maxResults); ratings are loaded for up to 5,000 offers per run. Also saved to the MARKET_REPORT record.

Review example

A review row (G2 review shown on the Dynatrace listing, September 2026, shortened):

{
  "recordType": "review",
  "reviewId": "c646902e-bbc1-fb5f-5e3e-ba680104f21d",
  "offerId": "dynatrace.dynatrace-apm",
  "offerName": "Dynatrace Software Intelligence Platform",
  "source": "G2",
  "rating": 5,
  "title": "Cutting-Edge Tech and Support That Drives Success",
  "likeBest": "First and foremost, they strive to stay on the cutting edge of technology...",
  "dislike": "I can honestly say I don't have any dislikes, like any software products there are quirks...",
  "problemsSolved": "Quick fault resolution, fixing legacy issues and being able to show true value to the business...",
  "companySize": "Enterprise",
  "reviewedAt": "2026-09-13T18:10:04.010Z",
  "hasVendorReply": false,
  "g2Product": "dynatrace",
  "g2ReviewUrl": "https://www.g2.com/products/dynatrace/reviews/dynatrace-review-13457338"
}

G2 reviews carry the answers as separate fields (text is null); AppSource / Azure portal reviews have text and, when the vendor answered, vendorReply. In monitor runs each row gets isNewReview.

Review insights example

The observability input above (October 2026, 885 reviews of 5 products) gave, among others:

• Monte Carlo Data Observability: 4.47 stars; alerts & noise in 40.5% of reviews (peer median 4.5 per 100), customization limits 14.5 per 100; use cases "quality issues", "schema changes", "anomaly detection"; only 0.5% of reviewers have nothing to dislike; 111 reviews in the last 365 days, the most active of the five.
• Dynatrace: 4.71 stars, pricing & licensing in 21% of reviews (peers 12.6), 30% of reviewers from enterprises; praised more than peers for AI capabilities.
• Elastic Observability: reporting & dashboards (31 per 100 vs 11.7) and learning curve (23 vs 11.8) are its relative weaknesses.
• AppDynamics: newest G2 review on the listing from January 2025, none in the last 365 days; small businesses rate it 0.38 stars below larger companies (weakCompanySize).

{
  "recordType": "review-insights",
  "offerName": "Monte Carlo Data Observability Platform",
  "reviewsAnalyzed": 200,
  "reviewSources": { "G2": 200 },
  "averageRating": 4.47,
  "noDislikeSharePct": 0.5,
  "topIssues": [
    { "theme": "alerts & noise", "mentions": 81, "sharePct": 40.5, "examples": [{ "rating": 4, "date": "2026-07-02", "source": "G2", "text": "Noisiness is the biggest challenge. Tuning old alerts so we only get alerted about things that are truly noteworthy..." }] },
    { "theme": "setup & implementation", "mentions": 37, "sharePct": 18.5 }
  ],
  "topUseCasePhrases": [{ "phrase": "quality issues", "reviews": 18 }, { "phrase": "schema changes", "reviews": 15 }],
  "byCompanySize": [{ "companySize": "Enterprise", "reviews": 42, "averageRating": 4.74 }, { "companySize": "Mid-Market", "reviews": 29, "averageRating": 4.55 }],
  "weakCompanySize": [],
  "lastReviewAt": "2026-09-24T01:40:01.446Z"
}

Insights cover every review the listing serves (not limited by maxReviewsPerOffer). Offers that show the same G2 product get one row (alsoListedAs). The comparison is also saved to the REVIEW_COMPARISON record.

Pricing

Pay per result, no subscription: $2 per 1,000 offers returned. Publisher rows (outputLevel: "publishers", full portfolio included) cost $5 per 1,000 publishers. Market reports cost $0.02 per report (report-only runs charge no offer rows). Review rows cost $1 per 1,000 reviews; review insights $0.01 per product (the comparison row counts as one).

100 offers cost $0.20. In new / changed mode you pay only for offers that are new, changed or removed, so a daily monitor of a whole category usually costs cents per month.

FAQ

Where do the ratings come from? From the same public catalog that powers the marketplace pages: the combined score shown on the listing, Microsoft marketplace reviews and the G2 reviews Microsoft displays next to them.

Where do the reviews come from, and how many do I get? From Microsoft's public reviews service that the listing page itself calls. It serves the newest G2 reviews of the product (up to 200 per listing) and every review written on AppSource or the Azure portal. Products with more G2 reviews than that show only the newest 200 there. Reviewer names and job titles are never collected, only the company size segment.

Why read complaints from "What do you dislike?" instead of 1-star reviews? Most G2 reviews are 4 or 5 stars, but every G2 reviewer answers what they dislike. Counting themes in those answers finds the real complaints (pricing, alert noise, learning curve) even in happy reviews. Answers such as "nothing" are skipped and reported as noDislikeSharePct.

Do ratings cost extra? No. They come with the offer details. Rating filters and rating sorts load details for every matched offer first, so narrow the search (offer type, category, keywords) for the fastest runs.

Can I get an alert when a competitor gets new reviews? Yes: put their listing in offerUrls, set outputMode: "changed" and schedule the run daily. You get a row with changeTypes: ["new-ratings"], ratingsAdded and the old and new rating.

What does the publisher level add over the offer list? The offer list only has offers that match your filters. The publisher row loads the publisher's complete catalog (all offer types, up to maxOffersPerPublisher), so offerCount, totals and topOffer describe the whole company. portfolioComplete is false when the cap cut it short; offerCount still shows the full size.

Which website does a publisher row show? The most common registrable domain across the publisher's offer links, support and privacy URLs (GitHub, YouTube, help-desk and Microsoft hosts are skipped). No emails or phone numbers are collected.

What is partnerId? The Microsoft partner (MPN / AI Cloud Partner Program) ID shown in the catalog for that publisher, useful for matching vendors to your CRM or partner records.

How reliable is "new offers in the last 90 days"? It uses the catalog's record date. Microsoft's catalog starts at its February 2023 migration and an offer re-published by its vendor can get a newer date, so treat newOffersLast90Days / 365Days as upper bounds. For exact launches use trackChanges: true on a schedule: sinceLastRun.newOffers counts only offers that were not there on the previous run.

What is a weak incumbent? An offer with at least 20 ratings and an average below 3.8 stars: customers are buying, but they are not happy. That is usually the best opening for a new product.

Scheduling a monitor

1. Set outputMode to changed (or new), set maxResults to 0 and give the monitor a stateKey.
2. Run it once. The first run is the baseline and returns everything.
3. Create an Apify Schedule (e.g. daily). Later runs return only what changed. Connect a webhook, Slack or email integration to get alerts. Keep the same filters for the same stateKey.

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