B2B SaaS Review Buyer Intent Monitor

Extract review-site complaints, alternatives, and buyer-intent signals for SaaS competitors.

What this Actor returns

• platform
• productName
• vendorName
• reviewDate
• rating
• title
• pros
• cons
• sentiment
• complaintTopics
• alternativeProducts
• reviewerRole
• companySize
• intentSignal
• leadScore
• scrapedAt
• sourceUrl

How to use it

1. Run once with the default input to validate the output schema.
2. Add public startUrls for live extraction where the target source allows public access.
3. Disable fallbackToSampleIfEmpty when you want failed/empty live runs to stay empty.
4. Schedule the Actor for monitoring workflows and export the dataset to JSON, CSV, Excel, API, or webhooks.

Production notes

This Actor ships with a typed input schema, dataset schema, store icon, defensive parsing, sample data for integration tests, and generic public-page extraction. Some target platforms are dynamic, protected, or login-gated; for those, production-grade coverage should use compliant public URLs, official/export APIs, or a maintained provider adapter.

Input example

{}

All fields are described in the Input tab, and the same JSON works in the API and for AI agents.

How much does B2B SaaS Review Buyer Intent Monitor cost?

This Actor uses pay-per-event pricing: you pay only for what it delivers, and platform usage is included.

Event	Price
Result (one dataset item)	$0.006 each ($6.00 per 1,000)
Actor start	$5e-05 per run

Set Maximum cost per run in the run options to cap your spend; the Actor stops when the limit is reached. Check the Pricing tab for current prices and plan discounts.

Use B2B SaaS Review Buyer Intent Monitor with AI agents (MCP)

Give Claude, ChatGPT, Cursor, VS Code or any MCP client this Actor as a tool through the hosted Apify MCP server. The agent sees the input fields with descriptions and example values, runs the Actor, and reads the results.

MCP server URL (this Actor only):

https://mcp.apify.com/?tools=technicaldost/b2b-saas-review-buyer-intent-monitor

Claude Code:

$claude mcp add --transport http apify "https://mcp.apify.com/?tools=technicaldost/b2b-saas-review-buyer-intent-monitor" --header "Authorization: Bearer YOUR_APIFY_TOKEN"

Cursor, VS Code, Claude Desktop and other clients (mcp.json or the client's MCP settings):

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=technicaldost/b2b-saas-review-buyer-intent-monitor",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}

Clients that support sign-in (such as Claude.ai connectors) can use the URL without a token and log in to Apify instead. Get your token in Apify Console → Settings → API & Integrations, or generate a ready config for your client at mcp.apify.com. In the agent the tool is named technicaldost--b2b-saas-review-buyer-intent-monitor; ask it, for example, to "run B2B SaaS Review Buyer Intent Monitor with {}".

AI agents without an Apify account can also run and pay for this Actor per request with x402 agentic payments.

Run B2B SaaS Review Buyer Intent Monitor via API

Run the Actor and get its results in one call (replace YOUR_APIFY_TOKEN):

curl -X POST "https://api.apify.com/v2/acts/technicaldost~b2b-saas-review-buyer-intent-monitor/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("technicaldost/b2b-saas-review-buyer-intent-monitor").call(run_input={})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript / TypeScript (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('technicaldost/b2b-saas-review-buyer-intent-monitor').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Long runs: start them with POST /v2/acts/technicaldost~b2b-saas-review-buyer-intent-monitor/runs and fetch the dataset when the run finishes, or receive a webhook.

Related Actors

• Reddit Intent Analyzer: Buying & Switching Signals — Analyze imported Reddit posts and comments for explicit recommendation requests, alternatives, pain points and
• Yelp Business & Review Scraper — Scrape Yelp business listings and reviews: name, category, address, phone, rating, review count and individual
• App Store Review Scraper (Apple iOS) — Scrape Apple App Store reviews and app metadata: rating, title, text, author, version, plus average rating and
• Trustpilot Company Review Scraper — Scrape Trustpilot company reviews at scale: rating, title, text, author, date and reply. Analyze customer sent

FAQ

Can I use B2B SaaS Review Buyer Intent Monitor with AI agents like Claude or ChatGPT?

Yes. Connect the Apify MCP server with ?tools=technicaldost/b2b-saas-review-buyer-intent-monitor (see above) and the agent can run the Actor and read its results on its own.

Can I call B2B SaaS Review Buyer Intent Monitor from my own code?

Yes. Use the REST API, or the official Python and JavaScript clients shown above. Results are available as JSON, CSV, Excel, XML or HTML.

How do I run it on a schedule?

Save your input as a task in Apify Console and add a schedule (for example, daily). Use webhooks or integrations to send each run's results onward.

Is it legal to use this Actor?

It works with publicly available data. Make sure your use complies with the source website's terms and with data protection laws such as GDPR, especially for personal data.

Something doesn't work or I need a feature. What should I do?

Open an issue in the Issues tab on this Actor's page with an example input, and we'll look into it.