Collectors · Finance & crypto

Crypto market data API in Python

Live crypto market rows — price, market cap, volume, 24h range, supply. One POST from Python with the input, rows back as JSON with 28 fields, $0.0002 per delivered coin. No proxies or parsers to maintain.

Get an API key See the collector

A Python requests snippet that posts { — A Python requests call to the coingecko_coins collector returns one dict per coin, at $0.0002 each.

First call

Install, call, read the rows.

pip install requests

The only dependency.

import os, requests

r = requests.post(
    "https://api.quanticdata.io/v1/scraper/collectors/coingecko_coins/run",
    headers={"Authorization": f"Bearer {os.environ['QD_API_KEY']}"},
    json={
        "vs_currency": "usd",
        "max_results": 50,
    },
    timeout=120,
)
r.raise_for_status()
run = r.json()["payload"]
print(run["count"], "rows,", run["cost"]["usd"], "USD")
for row in run["results"]:
    print(row.get("id"), row.get("symbol"), row.get("name"), row.get("price"))

Python: one Crypto market data (CoinGecko) run (Top 50 per market cap), printing id, symbol, name, price

The key comes from an environment variable, never from the code. The run answers in the same request when it finishes in time; payload.results holds the rows and payload.cost what they cost.

Request parameters

What the collector takes.

Input of the Crypto market data (CoinGecko) collector
Parameter	Type	Required	Meaning
`vs_currency`	string	no (default usd)	Quote currency (usd, eur, btc…).
`coin_ids`	array	no	Specific CoinGecko ids (bitcoin, ethereum…). Empty = ranking order.
`category`	string	no	CoinGecko category slug, e.g. stablecoins, meme-token.
`order`	string: `market_cap_desc`, `market_cap_asc`, `volume_desc`, `volume_asc`, `id_asc`, `id_desc`	no (default market_cap_desc)	Sort order (default market_cap_desc).
`max_results`	integer	no (default 50)	How many coins to deliver at most (1–250). You pay only for delivered coins.

Response fields

28 fields per coin.

Fields of each row (coin)
Field	Type	What it holds
`rank`	integer	Row order as returned.
`id`	string	CoinGecko coin id.
`symbol`	string	Ticker symbol (uppercase).
`name`	string, nullable	Coin name.
`price`	number, nullable	Current price in vs_currency.
`currency`	string	Quote currency (uppercase).
`market_cap`	number, nullable	Market capitalization.
`market_cap_rank`	integer, nullable	Global market-cap rank.
`volume_24h`	number, nullable	24h trading volume.
`change_24h_pct`	number, nullable	24h price change %.
`high_24h`	number, nullable	24h high.
`low_24h`	number, nullable	24h low.
`circulating_supply`	number, nullable	Circulating supply.
`total_supply`	number, nullable	Total supply.
`ath`	number, nullable	All-time high price.
`ath_date`	string, nullable	All-time high date.
`image`	string, nullable	Coin icon URL.
`last_updated`	string, nullable	Data timestamp.
`fully_diluted_valuation`	number, nullable	Fully diluted valuation in vs_currency.
`change_24h`	number, nullable	24h price change in vs_currency.
`change_1h_pct`	number, nullable	1h price change %.
`change_7d_pct`	number, nullable	7d price change %.
`change_30d_pct`	number, nullable	30d price change %.
`market_cap_change_24h_pct`	number, nullable	24h market-cap change %.
`max_supply`	number, nullable	Maximum supply, when the coin has a cap.
`ath_change_pct`	number, nullable	Distance from the all-time high, %.
`atl`	number, nullable	All-time low price.
`atl_date`	string, nullable	All-time low date.

Add ?format=csv to the runs endpoint to get the same rows as CSV.

Long runs

Run in the background, then poll.

A run that needs more time can go to the background: send "async": true, get 202 with the run id, and poll the runs endpoint until the status is done. Reading a run is free.

import os, time, requests

H = {"Authorization": f"Bearer {os.environ['QD_API_KEY']}"}
r = requests.post("https://api.quanticdata.io/v1/scraper/collectors/coingecko_coins/run", headers=H,
                  json={**{"vs_currency":"usd","max_results":50}, "async": True}, timeout=30)
run_id = r.json()["payload"]["run_id"]
while True:
    run = requests.get(f"https://api.quanticdata.io/v1/scraper/collectors/runs/{run_id}", headers=H, timeout=30).json()["payload"]
    if run["status"] in ("done", "failed"):
        break
    time.sleep(5)
print(run["status"], run["count"])

Python: background run and polling

Errors

What can come back, and what is billed.

Collector run errors
Status	Meaning	Billed
`400`	The input does not match the collector (`payload.errors`)	No
`401`	Missing or wrong API key	No
`402`	Balance and free credit do not cover the run: top up	No
`422`	The input can never resolve; retrying the same input cannot help	No
`424`	The run failed at the source (blocked, timed out, layout changed); safe to retry	No
`429`	Rate limit or a per-account brake; wait for `Retry-After`	No

Only delivered rows are billed: a run that delivers nothing costs nothing.

Price

$0.0002 per delivered coin.

What Crypto market data (CoinGecko) rows cost at list price
Rows	Cost
1	$0.0002
1,000	$0.20
10,000	$2.00

Up to 250 coins per run; split larger jobs into several runs. The $2 free credit every month covers about 10,000 coins. No subscription; paid tiers lower the unit price. All collector prices: collector pricing.

Before you run it

Questions developers ask

Is there a free Crypto market data (CoinGecko) API?

Every account gets $2 of free usage each month, about 10,000 coins of this collector at $0.0002 each, with no card.

Do I have to handle proxies, retries or blocks?

No. The collector runs on our network and handles them; a run blocked at the source returns 424 and is not billed.

How many rows can one run return?

Up to 250 coins per run (the max_results input, where the collector has one).

Can an AI agent run it?

Yes: the MCP server exposes it as the run_collector tool, with the same input and price. See the MCP server.

Run it on the free credit.

Create an API key, export it as QD_API_KEY and run the example. $0.0002 per delivered coin, no subscription.

Get an API key Crypto market data API