Website Carbon Footprint — grams of CO2 per domain
Pricing
$1.00 / 1,000 row returneds
Website Carbon Footprint — grams of CO2 per domain
Estimates page weight and CO2 per view for every domain in a list, with a grade. No browser needed, so it runs cheaply over large lists. Useful for ESG screening and sustainability reporting.
Pricing
$1.00 / 1,000 row returneds
Rating
0.0
(0)
Developer
The Artifact Machine
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
5 days ago
Last modified
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Estimates page weight and CO2 per view for every domain in a list, with a grade. No browser needed, so it runs cheaply over large lists. Useful for ESG screening and sustainability reporting.
Put a CO2 number against every domain for ESG reporting or a sustainability pitch.
What you get
One row per domain, with these columns:
gramsPerViewkgPerYearAt10kViewspageWeightKbisCompressedgrade
Real output
Measured on https://www.hubspot.com/:
{"gramsPerView": 0.214,"kgPerYearAt10kViews": 0.03,"pageWeightKb": 627,"isCompressed": true,"grade": "A"}
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, and this actor uses plain HTTP rather than a browser, so its share is higher.
Notes
- Reads the homepage only, one page per domain.
- No browser — plain HTTP requests, so it runs fast and cheap over large lists.