SaaS Pricing Page Change Tracker
Pricing
from $17.00 / 1,000 dataset items
SaaS Pricing Page Change Tracker
Extract clean SaaS plan, price, limit, and packaging signals from pricing pages.
Pricing
from $17.00 / 1,000 dataset items
Rating
0.0
(0)
Developer
Techionik
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
4 days ago
Last modified
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Extract pricing, packaging, trial, and limit signals from SaaS pricing pages without noisy page dumps.
Who Uses It
SaaS founders, RevOps teams, pricing analysts, agencies, and competitive intelligence teams.
Why It Is Useful
This actor does not save a generic web-scrape dump. It saves a compact dataset shaped around one business job, so the output is easier to review, export, and plug into research workflows.
Input
startUrls- Public pages to inspect.logLines- Pasted snippets for fast tests or sources that do not need crawling.maxPagesPerStartUrl- Same-domain pages to inspect from each URL.maxResults- Maximum clean rows to save, capped at 20.proxyConfiguration- Optional Apify proxy settings.
Output Fields
vendorPlan- Detected pricing plan or tier.listedPrice- Visible price or pricing mention.billingCadence- Monthly, yearly, or another billing clue.buyerSegment- Likely target buyer segment for the tier.trialSignal- Whether free plan or trial language appears.planLimit- Seat, user, project, credit, or workspace limit.packagingSignal- Important packaging sentence from the pricing text.pricingPage- Pricing page used as the source.
Example Output
{"vendorPlan": "Business plan","listedPrice": "$99/month","billingCadence": "monthly","buyerSegment": "business","trialSignal": "yes","planLimit": "25 seats","packagingSignal": "Priority support and reporting are bundled in this tier.","pricingPage": "https://example.com/pricing"}
Use Cases
- Monitor competitor plan packaging.
- Build simple pricing comparison tables.
- Spot free trial, seat limit, and enterprise-positioning changes.
Limits
The actor works best with public pages or focused pasted snippets. Login walls, CAPTCHA, heavy anti-bot protection, and very noisy pages can reduce result quality.
Pricing
Recommended pricing is paid per saved dataset item, so users pay for useful rows instead of empty page visits.