India-first Instagram influencer database · 2.4M+ creators · no loginStart a search on Apify →
I IndraIndia Instagram influencer database
India Instagram influencer finder

The influencer database India teams actually export.

Indra searches 2.4 million public Indian Instagram creators — Mumbai fashion, Delhi politics, Lucknow food, nano to mega. Filter, run, download CSV. No Instagram login. Built for agencies, brands, and any AI that needs influencer details.

2.4M+ creators 650+ cities 120 categories CSV · JSON · Excel · API · MCP
2.4M+Indian Instagram creators indexed
30 secto a filtered CSV export
650+cities, not just metros
0 cookiespublic profiles only

How it works

1

Pick filters

Category, follower bracket, Indian city, average views. Or search a handle.

2

Run the graph

Indra walks the India Instagram index and writes hydrated matches until your limit.

3

Export the list

Download CSV / Excel / JSON, or pull the dataset from Python, JS, CLI, or MCP.

What you get in every row

CreatorCityNicheFollowersAvg views
sample_mumbai_fashion_01MumbaiFashion182K Mid-tier240K
sample_delhi_politics_02DelhiPolitics1.25M Mega1.1M
sample_lucknow_food_03LucknowFood64K92K
sample_blr_tech_04BengaluruTechnology9.8K18K

Synthetic sample rows for format only. Live runs return real public profiles from the 2.4M graph. Download sample CSV.

Why teams switch from Modash, Qoruz, or a random scraper

IndraModash / QoruzGeneric IG scraper
JobIndia Instagram influencer discoverySaaS campaign platformPosts, reels, comments
Coverage2.4M+ India creators, 650+ citiesGlobal or India seatsWhatever URLs you already have
OutputCSV / JSON / Excel / API / MCPIn-app listsPost objects
Login to InstagramNot requiredPlatform accountOften cookies
PricingPay per run from $0.00005 startMonthly seatsPer result / proxy
AI agentsApify MCP + Cursor skillRarelyWrong tool for lists

Full comparison →

Built for the searches people actually type

For developers and AI agents

Python

from apify_client import ApifyClient
import os

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("s4XRSzZuVqawl63Ih").call(run_input={
    "category": "Fashion Influencer",
    "followerBracket": "Mid-tier (100K–499.9K)",
    "regionalFocus": "Mumbai",
    "avgViews": "200k_1m",
    "sortBy": "sequential",
    "resultsLimit": 100,
})
rows = list(client.dataset(run["defaultDatasetId"]).iterate_items())

MCP

{
  "mcpServers": {
    "indra-india-influencers": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=social_developer/india-instagram-influencer-scraper-modashs"
    }
  }
}

Cursor, Claude, ChatGPT setup →

Get 100 Indian influencers as CSV

Open the Actor, set city + category, export. Public profiles only.