Surveillance Lists API

Overview

The Surveillance Lists API retrieves NSE’s Additional Surveillance Measure (ASM) and GSM (Graded Surveillance Measure) lists. This endpoint uses a triple-fallback strategy: Google Sheets Gviz API (primary), Dhan Next.js API (secondary), and web scraping (tertiary) to ensure maximum reliability. Source File: fetch_surveillance_lists.py

Endpoint Details

Primary Source: Google Sheets Gviz API

URL

string

required

https://docs.google.com/spreadsheets/d/{SHEET_ID}/gviz/tq?tqx=out:json&gid={GID}

Method

string

required

GET

Secondary Source: Dhan Next.js API

URL

string

required

https://dhan.co/_next/data/{BUILD_ID}/{PAGE_KEY}.json

Method

string

required

GET

Tertiary Source: Web Scraping

URL

string

required

https://dhan.co/{PAGE_URL}/

Method

string

required

GET (parse __NEXT_DATA__ script tag)

Configuration

ASM List

Spreadsheet GID

string

290894275

Web URL

string

https://dhan.co/nse-asm-list/

Data Key

string

nse-asm-list

Output File

string

nse_asm_list.json

GSM List

Spreadsheet GID

string

1525483995

Web URL

string

https://dhan.co/nse-gsm-list/

Data Key

string

nse-gsm-list

Output File

string

nse_gsm_list.json

Request Headers

{
  "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
}

Example Requests

Primary: Google Sheets Gviz

curl -X GET "https://docs.google.com/spreadsheets/d/1zqhM3geRNW_ZzEx62y0W5U2ZlaXxG-NDn0V8sJk5TQ4/gviz/tq?tqx=out:json&gid=290894275" \
  -H "User-Agent: Mozilla/5.0"

Secondary: Next.js API

# First get build ID
curl -X GET https://dhan.co/all-indices/ | grep buildId

# Then fetch data
curl -X GET "https://dhan.co/_next/data/{BUILD_ID}/nse-asm-list.json" \
  -H "User-Agent: Mozilla/5.0"

Tertiary: Web Scraping

curl -X GET https://dhan.co/nse-asm-list/ \
  -H "User-Agent: Mozilla/5.0"

Response Structure

List Object Fields

Symbol

string

Trading symbol

Name

string

Company name

ISIN

string

ISIN code

Stage

string

Surveillance stage (for ASM: “Stage 1”, “Stage 2”, etc.; for GSM: similar staging)

Example Response (Google Sheets Gviz)

{
  "table": {
    "rows": [
      {
        "c": [
          null,
          {"v": "YESBANK"},
          {"v": "Yes Bank Ltd."},
          {"v": "INE528G01035"},
          {"v": "Stage 1"}
        ]
      }
    ]
  }
}

Processed Output

[
  {
    "Symbol": "YESBANK",
    "Name": "Yes Bank Ltd.",
    "ISIN": "INE528G01035",
    "Stage": "Stage 1"
  },
  {
    "Symbol": "SUZLON",
    "Name": "Suzlon Energy Ltd.",
    "ISIN": "INE040H01021",
    "Stage": "Stage 2"
  }
]

Implementation Details

Triple-Fallback Strategy

import requests
import json
import re
from bs4 import BeautifulSoup

def fetch_surveillance_lists():
    spreadsheet_base_url = "https://docs.google.com/spreadsheets/d/1zqhM3geRNW_ZzEx62y0W5U2ZlaXxG-NDn0V8sJk5TQ4/gviz/tq?tqx=out:json&gid="
    
    lists_config = {
        "nse_asm_list.json": {
            "gid": "290894275",
            "web_url": "https://dhan.co/nse-asm-list/",
            "data_key": "nse-asm-list"
        },
        "nse_gsm_list.json": {
            "gid": "1525483995",
            "web_url": "https://dhan.co/nse-gsm-list/",
            "data_key": "nse-gsm-list"
        }
    }
    
    headers = {"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36"}
    build_id = get_build_id()  # Fetch dynamic build ID
    
    for filename, config in lists_config.items():
        gid = config['gid']
        cleaned_list = []
        success = False
        
        # Attempt 1: Google Sheets Gviz API
        try:
            url = f"{spreadsheet_base_url}{gid}"
            response = requests.get(url, headers=headers, timeout=10)
            text = response.text
            match = re.search(r'setResponse\((.*)\);', text)
            if match:
                data = json.loads(match.group(1))
                rows = data.get('table', {}).get('rows', [])
                
                for row in rows:
                    c = row.get('c', [])
                    if len(c) >= 5:
                        symbol = c[1].get('v') if c[1] else None
                        name = c[2].get('v') if c[2] else None
                        isin = c[3].get('v') if c[3] else None
                        stage = c[4].get('v') if c[4] else None
                        
                        if symbol and symbol != "Symbol":
                            cleaned_list.append({
                                "Symbol": str(symbol),
                                "Name": str(name),
                                "ISIN": str(isin),
                                "Stage": str(stage)
                            })
                success = True
        except Exception as e:
            print(f"Gviz failed: {e}")
        
        # Attempt 2: Next.js API (if Gviz failed)
        if not success and build_id:
            try:
                url = f"https://dhan.co/_next/data/{build_id}/{config['data_key']}.json"
                response = requests.get(url, headers=headers)
                # Parse pageProps for list data
                success = True  # If data found
            except:
                pass
        
        # Attempt 3: Web scraping (if both failed)
        if not success:
            try:
                response = requests.get(config['web_url'], headers=headers)
                soup = BeautifulSoup(response.text, 'html.parser')
                script = soup.find('script', id='__NEXT_DATA__')
                if script:
                    data_json = json.loads(script.string)
                    # Extract list from props
                    success = True
            except:
                pass
        
        if success:
            with open(filename, "w") as f:
                json.dump(cleaned_list, f, indent=4)

Build ID Extraction

def get_build_id():
    """Dynamically fetch Next.js build ID"""
    url = "https://dhan.co/all-indices/"
    headers = {"User-Agent": "Mozilla/5.0"}
    
    try:
        response = requests.get(url, headers=headers, timeout=10)
        match = re.search(r'"buildId":"([^"]+)"', response.text)
        return match.group(1) if match else None
    except:
        return None

Output Files

nse_asm_list.json

[
  {
    "Symbol": "YESBANK",
    "Name": "Yes Bank Ltd.",
    "ISIN": "INE528G01035",
    "Stage": "Stage 1"
  },
  {
    "Symbol": "SUZLON",
    "Name": "Suzlon Energy Ltd.",
    "ISIN": "INE040H01021",
    "Stage": "Stage 2"
  }
]

nse_gsm_list.json

[
  {
    "Symbol": "EXAMPLE",
    "Name": "Example Company Ltd.",
    "ISIN": "INE123A01012",
    "Stage": "Stage 1"
  }
]

Surveillance Stages

ASM (Additional Surveillance Measure)

Stage 1: Initial surveillance - price volatility, volume spikes
Stage 2: Enhanced surveillance - continued concerns
Stage 3: Strictest surveillance - severe concerns
Long Term: Long-term ASM list
Short Term: Short-term ASM list

GSM (Graded Surveillance Measure)

Stage 1: Initial graded surveillance
Stage 2: Enhanced graded surveillance
Stage 3+: Higher surveillance stages

Use Cases

Risk Screening: Filter out high-risk surveillance stocks
Compliance Checking: Ensure portfolio doesn’t include restricted stocks
Intraday Trading: ASM stocks have stricter intraday limits
Position Limits: GSM stocks have position size restrictions
Circuit Limits: Surveillance stocks often have tighter circuit filters

Performance Metrics

ASM List Size: 50-150 stocks (varies)
GSM List Size: 20-80 stocks (varies)
Fetch Time: 2-5 seconds per list
Success Rate: >99% (triple fallback)
Update Frequency: NSE updates weekly/as needed

Trading Restrictions

Stocks in surveillance lists face:

Reduced Circuit Limits: 5% or 2% instead of 10%/20%
Trade-for-Trade (T2T): No intraday allowed
100% Margin: Full upfront payment required
Position Limits: Maximum holding restrictions
Auction Settlement: Delivery obligations strictly enforced

Error Handling

Primary Source Failure

try:
    # Google Sheets Gviz
    response = requests.get(gviz_url, timeout=10)
    # Process...
except Exception as e:
    print(f"Gviz failed: {e}")
    # Fall back to secondary source

All Sources Failed

if not success:
    print(f"Critical failure: Could not fetch {filename} from any source.")
    # No file written

Data Validation

# Skip header rows
if symbol == "Symbol" or not symbol:
    continue

# Ensure all fields are strings
cleaned_list.append({
    "Symbol": str(symbol),
    "Name": str(name),
    "ISIN": str(isin),
    "Stage": str(stage)
})

Integration Example

# Load surveillance lists
with open("nse_asm_list.json", "r") as f:
    asm_list = json.load(f)

with open("nse_gsm_list.json", "r") as f:
    gsm_list = json.load(f)

# Create lookup sets
asm_symbols = {stock["Symbol"] for stock in asm_list}
gsm_symbols = {stock["Symbol"] for stock in gsm_list}

# Filter master list
safe_stocks = [
    stock for stock in master_list
    if stock["Symbol"] not in asm_symbols and stock["Symbol"] not in gsm_symbols
]

Notes

Surveillance lists change frequently - run daily for accuracy
Google Sheets is the most reliable source (99%+ uptime)
Build ID changes with Next.js deployments - extracted dynamically
Web scraping is slowest but most resilient fallback
Stage progression: stocks can move up/down or be removed
Exit from surveillance: stocks meeting criteria for 6+ months may be removed
ASM is more common than GSM
Both lists are maintained by NSE and updated on exchange website

Endpoints

Output Fields

Overview

Endpoint Details

Primary Source: Google Sheets Gviz API

Secondary Source: Dhan Next.js API

Tertiary Source: Web Scraping

Configuration

ASM List

GSM List

Request Headers

Example Requests

Primary: Google Sheets Gviz

Secondary: Next.js API

Tertiary: Web Scraping

Response Structure

List Object Fields

Example Response (Google Sheets Gviz)

Processed Output

Implementation Details

Triple-Fallback Strategy

Build ID Extraction

Output Files

nse_asm_list.json

nse_gsm_list.json

Surveillance Stages

ASM (Additional Surveillance Measure)

GSM (Graded Surveillance Measure)

Use Cases

Performance Metrics

Trading Restrictions

Error Handling

Primary Source Failure

All Sources Failed

Data Validation

Integration Example

Notes

Build docs developers (and LLMs) love

Endpoints

Output Fields

Documentation Index

​Overview

​Endpoint Details

​Primary Source: Google Sheets Gviz API

​Secondary Source: Dhan Next.js API

​Tertiary Source: Web Scraping

​Configuration

​ASM List

​GSM List

​Request Headers

​Example Requests

​Primary: Google Sheets Gviz

​Secondary: Next.js API

​Tertiary: Web Scraping

​Response Structure

​List Object Fields

​Example Response (Google Sheets Gviz)

​Processed Output

​Implementation Details

​Triple-Fallback Strategy

​Build ID Extraction

​Output Files

​nse_asm_list.json

​nse_gsm_list.json

​Surveillance Stages

​ASM (Additional Surveillance Measure)

​GSM (Graded Surveillance Measure)

​Use Cases

​Performance Metrics

​Trading Restrictions

​Error Handling

​Primary Source Failure

​All Sources Failed

​Data Validation

​Integration Example

​Notes

Build docs developers (and LLMs) love

Overview

Endpoint Details

Primary Source: Google Sheets Gviz API

Secondary Source: Dhan Next.js API

Tertiary Source: Web Scraping

Configuration

ASM List

GSM List

Request Headers

Example Requests

Primary: Google Sheets Gviz

Secondary: Next.js API

Tertiary: Web Scraping

Response Structure

List Object Fields

Example Response (Google Sheets Gviz)

Processed Output

Implementation Details

Triple-Fallback Strategy

Build ID Extraction

Output Files

nse_asm_list.json

nse_gsm_list.json

Surveillance Stages

ASM (Additional Surveillance Measure)

GSM (Graded Surveillance Measure)

Use Cases

Performance Metrics

Trading Restrictions

Error Handling

Primary Source Failure

All Sources Failed

Data Validation

Integration Example

Notes