2GIS Business Directory Extractor for CIS & Middle East

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "search",
    "searchQueries": [
        "coffee"
    ],
    "locationQuery": "Moscow",
    "radiusMeters": 20000,
    "country": "auto",
    "language": "auto",
    "maxItems": 3,
    "sortBy": "relevance",
    "websiteFilter": "all",
    "filterHasPhotos": False,
    "filterOpenNow": False,
    "filter24x7": False,
    "filterHasGoods": False,
    "filterHasRating": False,
    "filterHasReviews": False,
    "filterDelivery": False,
    "filterTakeaway": False,
    "filterCardPayment": False,
    "filterWifi": False,
    "skipAds": False,
    "includeContacts": True,
    "includeReviews": False,
    "maxReviewsPerPlace": 10,
    "reviewsSort": "date_created",
    "reviewsWithAnswer": False,
    "includePhotos": False,
    "maxPhotosPerPlace": 5,
    "scrapeOrgBranches": False
}

run = client.actor("vexaloom-labs/2gis-business-directory-extractor-for-cis").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "search",
    "searchQueries": [
        "coffee"
    ],
    "locationQuery": "Moscow",
    "radiusMeters": 20000,
    "country": "auto",
    "language": "auto",
    "maxItems": 3,
    "sortBy": "relevance",
    "websiteFilter": "all",
    "filterHasPhotos": false,
    "filterOpenNow": false,
    "filter24x7": false,
    "filterHasGoods": false,
    "filterHasRating": false,
    "filterHasReviews": false,
    "filterDelivery": false,
    "filterTakeaway": false,
    "filterCardPayment": false,
    "filterWifi": false,
    "skipAds": false,
    "includeContacts": true,
    "includeReviews": false,
    "maxReviewsPerPlace": 10,
    "reviewsSort": "date_created",
    "reviewsWithAnswer": false,
    "includePhotos": false,
    "maxPhotosPerPlace": 5,
    "scrapeOrgBranches": false
};

const run = await client.actor("vexaloom-labs/2gis-business-directory-extractor-for-cis").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/vexaloom-labs~2gis-business-directory-extractor-for-cis/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"search","searchQueries":["coffee"],"locationQuery":"Moscow","radiusMeters":20000,"country":"auto","language":"auto","maxItems":3,"sortBy":"relevance","websiteFilter":"all","filterHasPhotos":false,"filterOpenNow":false,"filter24x7":false,"filterHasGoods":false,"filterHasRating":false,"filterHasReviews":false,"filterDelivery":false,"filterTakeaway":false,"filterCardPayment":false,"filterWifi":false,"skipAds":false,"includeContacts":true,"includeReviews":false,"maxReviewsPerPlace":10,"reviewsSort":"date_created","reviewsWithAnswer":false,"includePhotos":false,"maxPhotosPerPlace":5,"scrapeOrgBranches":false}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=vexaloom-labs/2gis-business-directory-extractor-for-cis",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}