Installation

Option 1 — Both NSE + MCX (recommended)

pip install indian-market-data

Installs nse-data + mcx-data together.

Option 2 — NSE only

pip install nse-archives

# With S3 support
pip install nse-archives[s3]

# With Cloudflare bypass (for niftyindices.com TRI)
pip install nse-archives[cloudflare]

Option 3 — MCX only

pip install mcx-data

# With S3 support
pip install mcx-data[s3]

Requirements: Python 3.9+

requests

pandas

openpyxl

MCX additionally requires: curl-cffi>=0.7.0 (installed automatically)

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Verify

import nsedata
print(nsedata.__version__)   # 0.9.1

import mcxdata
print(mcxdata.__version__)   # 0.1.0

from nsedata import nse
from mcxdata import mcx

nse.list_datasets()          # 91 NSE datasets
mcx.list_datasets()          # 2 MCX datasets

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Lambda Layer

Includes both nse-data and mcx-data + all dependencies:

cd .lambda_layer
./build.sh                   # standard
./build.sh --full            # + cloudscraper (TRI + MCX WAF extra fallback)

Upload and attach to your Lambda function:

aws lambda publish-layer-version \
  --layer-name indian-market-data \
  --zip-file fileb://nse-data-lambda-layer.zip \
  --compatible-runtimes python3.12 python3.13 \
  --description "nse-data + mcx-data + pandas + curl-cffi"