🌳 Carbonmark Carbon Credits Scraper

🚀 Export Carbonmark tokenized carbon credit projects in seconds. Registry, methodology, vintage, price, supply, country, and category direct from the public Carbonmark API.

🕒 Last updated: 2026-06-05 · 📊 12 fields per record · All major registries · Tokenized voluntary carbon market

The Carbonmark Carbon Credits Scraper turns the public Carbonmark API into a structured dataset of tokenized carbon credit projects. It returns one row per project with registry, methodology, vintage year, current price, available supply, country, and category.

Coverage spans Verra, Gold Standard, American Carbon Registry, Climate Action Reserve, and Puro across all available vintages.

🎯 Target Audience	💡 Primary Use Cases
🌳 ESG analysts	Track voluntary carbon market prices by vintage
🏢 Sustainability teams	Source credits for retirement
🤖 Quants	Build VCM price indices
📊 Researchers	Map registry market share
👩‍💻 Developers	Mirror VCM data into a warehouse

📋 What the Carbonmark Carbon Credits Scraper does

• Calls the public Carbonmark projects endpoint.
• Returns one normalized row per project.
• Optional filters by country, category, registry, and minimum vintage.
• Exports as CSV, Excel, JSON, JSONL, XML, RSS, or HTML.

💡 Why it matters: Voluntary carbon market data is scattered across registries with inconsistent formats. Carbonmark aggregates tokenized credits in one place and this actor flattens that aggregation into a usable dataset.

🎬 Full Demo

🚧 Coming soon.

⚙️ Input

Field	Type	Required	Description
maxItems	integer	No	Free users 10. Paid users up to 1,000,000.
country	string	No	Optional country filter (partial match).
category	string	No	Optional category filter (partial match).
registry	enum	No	VCS, GS, ACR, CAR, PURO.
minVintage	integer	No	Earliest vintage year.

Example 1, Verra vintage 2020 plus:

{ "registry": "VCS", "minVintage": 2020, "maxItems": 50 }

Example 2, Brazil forestry projects:

{ "country": "Brazil", "category": "forestry", "maxItems": 25 }

⚠️ Good to Know: Prices change with on-chain liquidity. Vintage year reflects when emissions were reduced, not when the credit was tokenized.

📊 Output

Field	Type	Description
🌳 projectName	string	Project name.
📚 registry	string	Issuing registry.
🔬 methodology	string	Approved methodology code.
📅 vintage	number	Vintage year.
💵 price	number	Current listed price.
📦 supply	number	Available supply.
🌍 country	string	Project country.
🏷️ category	string	Project category.
🆔 listingId	string	Listing identifier.
♻️ retiredCredits	number	Retired credits to date.
🕒 scrapedAt	string	When this row was fetched.
❌ error	string	Set if upstream returned an error.

Sample record:

{
  "projectName": "Rimba Raya Biodiversity Reserve",
  "registry": "VCS",
  "methodology": "VM0007",
  "vintage": 2022,
  "price": 4.85,
  "supply": 125000,
  "country": "Indonesia",
  "category": "REDD+",
  "listingId": "VCS-674-2022",
  "retiredCredits": 0,
  "scrapedAt": "2026-06-05T13:00:00.000Z",
  "error": null
}

✨ Why choose this Actor

| 🌳 | All major registries in one dataset. | | 💵 | On-chain prices, no stale broker quotes. | | 📅 | Vintage-aware filtering. | | ♻️ | Retirement counts surfaced. | | 🛟 | Clean error records. | | 💾 | Push to dataset, instant tabular export. |

📈 How it compares to alternatives

Approach	Setup	Vintage filter	Retirement data
Raw fetch	30 min plus	manual	manual
Registry portals	1 hr per registry	per-portal	manual
This Actor	5 sec	yes	yes

🚀 How to use

1. Click Try for free.
2. Optionally set filters.
3. Click Start.

💼 Business use cases

🌳 Procurement. Source credits matching internal policy (registry, vintage, methodology).

📊 Price discovery. Track tokenized VCM prices across registries.

🤖 Index construction. Build VCM benchmark indices.

🏢 Reporting. Maintain an internal log of available credit supply.

🔌 Automating Carbonmark Carbon Credits Scraper

• Make and Zapier integrations.
• Cron schedule on Apify.
• Webhooks on run completion.
• Pipe to BigQuery, Snowflake, Postgres via native integrations.

🌟 Beyond business use cases

🎓 Education. Teach VCM mechanics.

🧪 Personal research. Track climate finance.

🤝 Open data. Public VCM dashboards.

🧰 Tinkering. Prototype VCM aggregators.

🤖 Ask an AI assistant about this scraper

Pop this README into ChatGPT, Claude, or any AI assistant and ask it to map your workflow to the actor inputs.

❓ Frequently Asked Questions

❓ Which registries are covered? VCS, GS, ACR, CAR, PURO and any added by Carbonmark.

❓ Is it rate-limited? The public API is generous.

❓ Are prices in USD? Yes.

❓ How fresh is the data? As fresh as the Carbonmark indexer.

❓ Can I filter by methodology? Use dataset filters post-run.

❓ Can I schedule runs? Yes.

❓ Is this scraping or API? API.

❓ Will the schema change? Core fields are stable.

❓ What formats can I download? Every tabular and document format Apify supports.

❓ Are retired credits tradeable? No, they are removed from circulating supply.

🔌 Integrate with any app

Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST or webhook endpoint.

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💡 Pro Tip: browse the complete ParseForge collection for 900+ production-grade scrapers.

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