Trust Signals — testimonials, badges and policies per domain avatar

Trust Signals — testimonials, badges and policies per domain

Pricing

$3.00 / 1,000 row returneds

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Trust Signals — testimonials, badges and policies per domain

Trust Signals — testimonials, badges and policies per domain

Inventories the trust signals on each domain: testimonials, ratings, badges, customer logos, social proof, and privacy/terms links. Finds sites asking for money without earning it.

Pricing

$3.00 / 1,000 row returneds

Rating

0.0

(0)

Developer

The Artifact Machine

The Artifact Machine

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

4 days ago

Last modified

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Inventories the trust signals on each domain: testimonials, ratings, badges, customer logos, social proof, and privacy/terms links. Finds sites asking for money without earning it.

Find sites asking for money without the proof that earns it.

What you get

One row per domain, with these columns:

  • hasTestimonials
  • hasRatings
  • hasBadges
  • hasSocialProof
  • hasCustomerLogos
  • hasPrivacyLink
  • hasTermsLink
  • hasFaq
  • trustSignalCount

Real output

Measured on https://www.hubspot.com/:

{
"hasTestimonials": true,
"hasRatings": false,
"hasBadges": true,
"hasSocialProof": true,
"hasCustomerLogos": false,
"hasPrivacyLink": true,
"hasTermsLink": false,
"hasFaq": false,
"trustSignalCount": 4
}

Input

Give it a list of domains:

{ "domains": ["example.com", "another.com"] }

Or chain it after any actor that produces a list — Google Maps Scraper, a CRM export, a prospect list — by passing that dataset as items and naming the column that holds the website:

{ "items": [{ "title": "Acme", "website": "acme.com" }], "field": "website" }

Domains it could not read

A domain that blocks the scan, times out, or errors comes back with measured: false, a reason, and every data column null — never a zero and never a false.

That matters at bulk. One fabricated false in a sheet of ten thousand rows is worse than a missing row, because nobody audits the row that looks plausible. Filter on measured and you know exactly what you are looking at.

Roughly one site in eight refuses an automated reader.

Notes

  • Reads the homepage only, one page per domain.
  • Loads each page in a real browser, so it sees client-rendered content.