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One actor ID. Every stack.

Canonical Actor: social_developer/india-instagram-influencer-scraper-modashs · ID s4XRSzZuVqawl63Ih · OpenAPI: https://api.apify.com/v2/actors/s4XRSzZuVqawl63Ih/openapi.json

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())

JavaScript

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor("social_developer/india-instagram-influencer-scraper-modashs").call({
  category: "Politics",
  followerBracket: "Mega (1M+)",
  regionalFocus: "Delhi",
  avgViews: "1m_plus",
  resultsLimit: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

CLI

apify call social_developer/india-instagram-influencer-scraper-modashs --input input.example.json

Agents

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

Keep APIFY_TOKEN in the environment. Never hardcode it. Wrappers live in packages/python and packages/js.