Salesforce AppExchange Scraper

What is Salesforce AppExchange Scraper?

Salesforce AppExchange Scraper extracts Salesforce AppExchange app listings into one dataset row per listing. Each row returns the app name, tagline and full description, rating and review count, every pricing plan with currency, billing frequency and unit, the supported Salesforce editions, languages, Lightning, Shield and FedRAMP flags, and the publisher's website, contact email, sales contact, country, location and employee count. ISV product managers, Salesforce partners, B2B lead-gen teams, market researchers and AI agents use it to study the AppExchange catalog and build vendor lists, with no Salesforce login.

Why ISV and partner teams use it

• Pricing plans as data. pricingPlans lists every plan with price, currency, frequency, unit and trialDays, plus a startingPrice summary for quick sorting.
• Publisher firmographics. publisherWebsite, publisherEmail, publisherCountry, publisherLocation, publisherEmployees and salesEmail turn each listing into a vendor record.
• Edition and compliance matrix. editions, editionCodes, isLightningReady, isSalesforceShield, isFedrampCertified and isSalesforceMobile show where an app fits.
• Two ways in. Paste listing URLs or IDs, or browse the App or Consulting catalog with an optional keyword filter.
• Rich listing content. fullDescription, highlights and screenshots capture how each vendor positions its product.

Best fit for this Actor

• Best fit for competitive intelligence on known AppExchange apps and for slicing the catalog by keyword.
• Use listingUrls for exact apps you already track, and listingType plus keyword to discover apps in a niche.
• Designed for public listing and publisher data; each row is one listing.
• When you want the publisher's LinkedIn company page next, then pass publisherWebsite to LinkedIn Company Finder from Website.

Example workflow: mapping a CPQ competitor set

A product manager at a Salesforce ISV starts with the AppExchange links of six competing quoting apps. She pastes them into listingUrls and runs the Actor. The dataset returns each app's pricingPlans, startingPrice, editions, averageRating, reviewCount and publisherEmployees. She exports the rows to a spreadsheet, compares per-user monthly prices against edition coverage, then shares the matrix with her pricing committee. She schedules the same input monthly so price changes show up in the next export.

Input

Scrape specific listings:

{
  "listingUrls": [
    "https://appexchange.salesforce.com/appxListingDetail?listingId=a0N4V00000FguFBUAZ",
    "a0N3A00000FMkeoUAD"
  ],
  "maxResults": 50
}

Browse the catalog with a keyword:

{
  "listingType": "App",
  "keyword": "marketing",
  "maxResults": 100,
  "maxScan": 600
}

Field	Type	What it controls
listingUrls	array of strings	Full appxListingDetail URLs or raw a0N... listing IDs. When set, browse settings are skipped.
listingType	string	App or Consulting catalog in browse mode. Default App.
keyword	string	Case-insensitive match on name, tagline, description, publisher and categories in browse mode.
maxResults	integer	Listings returned and billed. Default 50.
maxScan	integer	Listings inspected while searching for keyword matches. Default 400.
proxyConfiguration	object	Apify Proxy settings. Default Apify datacenter proxy.

Output

One row per listing. A real row (publisher contact email replaced with a fictional value, screenshots shortened):

{
  "listingId": "a0N4V00000FguFBUAZ",
  "appExchangeId": "a0N3u00000ONfPREA1",
  "name": "BenefitsGuide: Business Listings",
  "tagline": "Form 5500 data for employee benefits & financial service professionals",
  "listingType": "App",
  "technology": "force/package",
  "appType": "Package/Platform/Data",
  "recordType": "Data",
  "listingUrl": "https://appexchange.salesforce.com/appxListingDetail?listingId=a0N4V00000FguFBUAZ",
  "averageRating": 5,
  "reviewCount": 1,
  "isPaid": true,
  "startingPrice": 20,
  "startingPriceCurrency": "USD",
  "startingPriceFrequency": "monthly",
  "startingPriceUnit": "user",
  "paymentType": "publisher_provided",
  "pricingPlans": [
    {
      "planName": "Default Plan",
      "price": 20,
      "currency": "USD",
      "frequency": "monthly",
      "unit": "user",
      "trialDays": 0
    }
  ],
  "editions": ["Professional", "Enterprise", "Unlimited", "Force.com", "Developer", "Performance"],
  "editionCodes": ["PE", "EE", "UE", "FE", "DE", "PP"],
  "languages": ["en"],
  "isLightningReady": true,
  "isSalesforceMobile": false,
  "isSalesforceShield": true,
  "isFedrampCertified": false,
  "isPledge1Percent": false,
  "publishedDate": "2021-05-04",
  "publisherName": "BenefitsGuide",
  "publisherWebsite": "http://www.benefitsguide.com",
  "publisherEmail": "partner.contact@benefitsguide.com",
  "publisherCountry": "US",
  "publisherLocation": "Woodbury, NY USA",
  "publisherEmployees": 8,
  "salesEmail": "sales@benefitsguide.com",
  "screenshots": [
    "https://appexchange.salesforce.com/partners/servlet/servlet.FileDownload?file=00P4V00000rJYF5UAO"
  ],
  "scrapedAt": "2026-10-01T20:56:11.684Z"
}

Field	What it contains
listingId, appExchangeId, listingUrl, publishedDate	Listing identity, link and publish date
name, tagline, description, fullDescription, highlights	Listing copy
listingType, technology, appType, recordType	What kind of listing it is
averageRating, reviewCount	Review summary
isPaid, startingPrice, startingPriceCurrency, startingPriceFrequency, startingPriceUnit, paymentType	Price summary
pricingPlans	Every plan with price, currency, frequency, unit and trial days
editions, editionCodes, languages	Supported Salesforce editions and languages
isLightningReady, isSalesforceMobile, isSalesforceShield, isFedrampCertified, isPledge1Percent	Platform and program flags
publisherName, publisherWebsite, publisherEmail, publisherPhone, publisherDescription	Publisher identity and contact
publisherCountry, publisherLocation, publisherEmployees	Publisher firmographics
salesEmail, salesPhone	Sales contact
screenshots, scrapedAt	Media URLs and collection time

Pricing

This Actor uses Pay per event plus Apify platform usage. You pay one Listing scraped event for each listing saved and one Actor Start event per run, and Apify platform usage for compute and proxy is billed alongside. The live Pricing tab on this page shows the current event prices.

Worked example in words: a run with six competitor URLs saves six listings, so it costs six Listing scraped events, one start event and the platform usage of a short run. In browse mode, maxResults caps the Listing scraped events.

Use with AI agents (MCP)

Connect the Actor to an MCP client through Apify MCP and ask:

Get the AppExchange listing for this URL and tell me its starting price, pricing plans, supported editions, rating and the publisher's country and size.

Agent checklist:

1. Pass exact apps in listingUrls; use listingType with keyword for discovery.
2. Read rows with get-dataset-items; cite listingUrl and scrapedAt as provenance.
3. Cost scope: one Listing scraped event per saved row, capped by maxResults.

API example

curl -X POST "https://api.apify.com/v2/acts/khadinakbar~salesforce-appexchange-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"listingUrls": ["a0N4V00000FguFBUAZ"], "maxResults": 1}'

Related tools for vendor research

Your next step	Use	Why
When you want the publisher's LinkedIn page	LinkedIn Company Finder from Website	Turns publisherWebsite into a LinkedIn company URL
When you want more contacts from publisher sites	Bulk Website Contact Extractor	Emails, phones and social links per domain
When you want review text for the same software	Software Reviews All-in-One Scraper	Reviews from major B2B review sites

Best results

Starting situation	Helpful action	Expected outcome
A known competitor set	Paste URLs or a0N... IDs in listingUrls	Exactly those listings
Exploring a niche	listingType: "App" with a keyword	Listings whose text contains the keyword
A rare keyword	Raise maxScan	More of the catalog inspected for matches
Partner research	listingType: "Consulting"	Consulting partner listings
Price tracking	Schedule the same listingUrls	Comparable rows over time

The keyword filter is a literal text match over listing fields, so precise words such as CPQ or e-signature give the cleanest slices.

Builder's note

I found that each AppExchange listing page is fed by a public JSON response that already holds plans, editions and publisher details, so I read that directly rather than rendering the page. I chose a transparent keyword filter over scraped fields because it gives repeatable slices, and direct URLs remain the precise way to track a known app.

FAQ

Do I need a Salesforce login?

No. The data comes from public AppExchange listing data.

Does it include review text?

Each row carries averageRating and reviewCount. For review text, use a review scraper such as the one linked above.

Can I scrape consulting partners?

Yes. Set listingType to Consulting in browse mode.

Responsible use

This Actor collects public AppExchange listing and publisher information. Publisher contact emails and phones can be personal data under the GDPR, CCPA and similar laws, so use them with a lawful basis, honor opt-outs, and respect Salesforce's terms. Salesforce and AppExchange are trademarks of Salesforce, Inc.; this independent Actor is not affiliated with or endorsed by Salesforce.