Carbonmark Carbon Credits Scraper

Carbonmark Carbon Credits Scraper

Scrape carbon credit listings from Carbonmark, filtered by country, category, registry, or vintage year. Each credit comes with its project name, price, available tonnes, and certification details. Export to CSV, JSON, Excel, or XML.

Carbon credit markets are fragmented and opaque, making it hard to compare prices and project quality across registries. This Actor reads the public Carbonmark marketplace directly, collecting every listed credit that matches your filters. You get a clean dataset of available offsets without writing any code or dealing with API keys.

Who uses it	What they scrape Carbonmark for
Sustainability analysts	Compare carbon credit prices and project types across registries for a quarterly offset report.
Carbon project developers	Monitor competitor pricing and vintage availability on the Carbonmark marketplace.
Compliance officers	Build a watchlist of credits that meet specific registry and vintage requirements for upcoming obligations.
Data journalists	Track the volume and price trends of voluntary carbon credits listed publicly.

What it does

This Actor collects carbon credit listings from Carbonmark and returns each one as a flat row with project details, pricing, and certification data.

• 🌍 Country filter: narrow results to projects in a specific country with a free text match.
• 🏷️ Category filter: target credits by project category, such as forestry, renewable energy, or blue carbon.
• 📜 Registry selection: pick from Verra (VCS), Gold Standard, American Carbon Registry, Climate Action Reserve, or Puro.
• 📅 Vintage year floor: only collect credits whose vintage year is at or after a minimum you set.
• 🔢 Volume cap: set a hard maximum number of credits to collect per run, from 1 up to 1,000,000.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with Carbonmark data

📊 Build a carbon price index.

A market analyst runs the Actor weekly with no filters, collects all available credits, and calculates average prices by registry and category to feed an internal dashboard.

🌱 Source credits for a corporate offset portfolio.

A sustainability manager filters by Gold Standard registry and a minimum vintage of 2020, then exports the list to evaluate projects for the next fiscal year's offset purchases.

🔍 Audit project claims.

A journalist filters by country and category to gather all forestry credits from a specific nation, then cross-references the listed projects with public registry data.

📈 Monitor competitor supply.

A project developer filters by their own project category and registry, then tracks how many competing credits are listed and at what price point each month.

Why choose this scraper

	What you get
No API key required	Reads the public Carbonmark marketplace directly, no registration or token management.
Fixed flat schema	Every credit returns the same fields, ready for analysis or a database.
Registry coverage	Filter across Verra, Gold Standard, ACR, CAR, and Puro in one run.
Vintage control	Exclude older vintages by setting a minimum year, so you only see credits that meet your quality window.

How it compares

No other Store actor targets Carbonmark the same way, so the honest comparison is with the alternatives teams actually weigh.

	Carbonmark Carbon Credits Scraper	Build it in-house	By hand
Setup	Run it now, zero config	Days of engineering	None, but hours per pull
When Carbonmark changes	Maintained for you	You fix it	You re-learn the page
Proxies, retries, anti-bot	Built in	Your problem	Browser only
Output	Fixed JSON schema, CSV/Excel export	Whatever you build	Copy-paste
Cost	Pay per result	Engineering time	Analyst hours

Configure the run

Drive the Actor with optional country, category, registry, and minimum vintage year filters, and set a maximum number of credits to collect. Filters are applied as listings are read so only matches reach your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
 "maxItems": 10
}

A larger pull:

{
 "maxItems": 200
}

Pricing

Pay-per-result: $0.0085 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$0.85
1,000 results	$8.50
10,000 results	$85.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the Carbonmark Carbon Credits Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to Carbonmark through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/carbonmark-credits-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Your filters may be too restrictive. Try removing the country, category, or minimum vintage filter one at a time to see which is excluding all listings. Also check that the registry you selected has active listings.

The Actor collected fewer credits than my maximum.

This means there were fewer matching listings on Carbonmark than your set maximum. The Actor collected everything that matched your filters. Try broadening your filters to capture more credits.

Some fields are empty in my results.

Carbonmark listings do not always populate every field. If a project owner left a field blank on the marketplace, it will appear empty in your dataset.

The run timed out.

Large collections can take time. Increase the run timeout in your Apify actor settings, or reduce the maximum number of credits to collect per run and split the work across multiple runs.

Can I filter by price range?

The current input schema does not include a price filter. You can export the full dataset and filter by price in a spreadsheet or with a separate data processing step.

FAQ

Question	Answer
Do I need a Carbonmark account or API key to use this Actor?	No. The Actor reads the public marketplace listings, so no login, account, or API key is required.
What data does each credit row contain?	Each row includes the project name, credit price, available tonnes, registry, category, country, vintage year, and other listing details as they appear on Carbonmark.
Can I filter by multiple registries at once?	The input lets you select one registry per run. To collect from multiple registries, run the Actor once per registry and merge the datasets.
How does the country filter work?	It performs a free text match against the project country field. For example, entering 'Brazil' will return credits where the country contains that string.
What is a vintage year?	The vintage year is the year the carbon reduction or removal occurred. Setting a minimum vintage helps you exclude older credits that may not meet current quality standards.
How many credits can I collect in one run?	You set the maximum with the 'Maximum credits' input, anywhere from 1 to 1,000,000. The Actor stops when it hits that number or runs out of matching listings.
Which registries are supported?	You can filter by Verra (VCS), Gold Standard, American Carbon Registry, Climate Action Reserve, and Puro. Leave the registry field empty to collect from all registries.
Can I schedule this Actor to run automatically?	Yes. Once you have a working configuration, you can set it on a schedule in the Apify console to collect fresh data daily, weekly, or monthly.
What export formats are available?	You can export your dataset to CSV, JSON, Excel, or XML from the Apify run results.
Does this Actor buy or retire carbon credits?	No. It only reads and collects publicly listed data. It does not interact with the marketplace to make purchases or retire credits.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Carbonmark. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.