Pricing

$19.99/month + usage

Instagram Mentions Scraper

📲 Instagram Mentions Scraper (instagram-mentions-scraper) scrapes posts and comments mentioning your @handle — with timestamps, authors, captions, media & engagement. ⚡ Export CSV/JSON, monitor campaigns, track UGC, catch brand mentions in real time. 🔔 Webhook-ready.

Pricing

$19.99/month + usage

Rating

0.0

(0)

Developer

ScrapeBase

Actor stats

Bookmarked

Total users

Monthly active users

a month ago

Last modified

Categories

Automation

Lead generation

Social media

You can access the Instagram Mentions Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
  "openapi": "3.0.1",
  "info": {
    "version": "0.1",
    "x-build-id": "KQNW4KZABA41cO2Bm"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/scrapebase~instagram-mentions-scraper/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-scrapebase-instagram-mentions-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/scrapebase~instagram-mentions-scraper/runs": {
      "post": {
        "operationId": "runs-sync-scrapebase-instagram-mentions-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/scrapebase~instagram-mentions-scraper/run-sync": {
      "post": {
        "operationId": "run-sync-scrapebase-instagram-mentions-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    }
  },
  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "required": [
          "username"
        ],
        "properties": {
          "username": {
            "title": "👤 Instagram profiles to scrape",
            "type": "array",
            "description": "✅ One username per line—handles only (no @ required).\n\n📌 Examples: natgeo, cristiano, or your brand handle. Full profile URLs work too if pasted from the browser.",
            "items": {
              "type": "string"
            }
          },
          "resultsLimit": {
            "title": "🔢 Posts per profile",
            "minimum": 0,
            "maximum": 10000,
            "type": "integer",
            "description": "📷 How many recent posts to collect for each profile (0–10,000).\n\n♾️ Use 0 or 10,000+ for “all available” (within platform limits). Values between 1 and 19 are bumped up to 20 so each run returns a useful batch.",
            "default": 20
          },
          "proxyConfiguration": {
            "title": "🛡️ Proxies (recommended)",
            "type": "object",
            "description": "🌍 Apify Proxy helps avoid blocks and rate limits on Instagram.\n\n🔄 If a connection is rejected, the actor can fall back to a residential endpoint—toggle proxy on for the most reliable results."
          }
        }
      },
      "runsResponseSchema": {
        "type": "object",
        "properties": {
          "data": {
            "type": "object",
            "properties": {
              "id": {
                "type": "string"
              },
              "actId": {
                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
                "type": "object",
                "properties": {
                  "inputBodyLen": {
                    "type": "integer",
                    "example": 2000
                  },
                  "rebootCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "restartCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "resurrectCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "computeUnits": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "options": {
                "type": "object",
                "properties": {
                  "build": {
                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
                    "type": "integer",
                    "example": 1024
                  },
                  "diskMbytes": {
                    "type": "integer",
                    "example": 2048
                  }
                }
              },
              "buildId": {
                "type": "string"
              },
              "defaultKeyValueStoreId": {
                "type": "string"
              },
              "defaultDatasetId": {
                "type": "string"
              },
              "defaultRequestQueueId": {
                "type": "string"
              },
              "buildNumber": {
                "type": "string",
                "example": "1.0.0"
              },
              "containerUrl": {
                "type": "string"
              },
              "usage": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "integer",
                    "example": 1
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "usageTotalUsd": {
                "type": "number",
                "example": 0.00005
              },
              "usageUsd": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "number",
                    "example": 0.00005
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Instagram Mentions Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Instagram Mentions Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Instagram Mentions Scraper API in Python

Instagram Mentions Scraper API in JavaScript

Instagram Mentions Scraper API through CLI

Instagram Mentions Scraper API

Instagram Mentions Scraper

scrapapi/instagram-mentions-scraper

📣 Instagram Mentions Scraper (instagram-mentions-scraper) scrapes and exports IG @mentions of any handle—captions, authors, dates, links & engagement. 🔎 Ideal for brand monitoring, social listening, PR & influencer outreach. ⚡ Fast, reliable; CSV/Sheets-ready.

ScrapAPI

Instagram Mentions Scraper

scrapier/instagram-mentions-scraper

Scrape Instagram posts mentioning specific users with the Instagram Mentions Scraper. Extract captions, media, usernames, likes, comments, and timestamps. Ideal for brand monitoring, engagement analysis, and influencer research. Fast, reliable, and scalable for bulk scraping.

Scrapier

Instagram Mentions Scraper

scraper-engine/instagram-mentions-scraper

Extract all Instagram mentions from public profiles with the Instagram Mentions Scraper. This Apify actor collects tagged mentions, usernames, captions, and post URLs—perfect for tracking brand visibility, influencer activity, or audience engagement on Instagram efficiently.

Scraper Engine

5.0

Instagram Mentions Scraper

scraperforge/instagram-mentions-scraper

Track and extract Instagram mentions in real time with this Instagram Mentions Scraper 📲 Capture usernames, captions, post links, hashtags, and engagement data effortlessly 📊 Ideal for brand monitoring, influencer tracking, and social listening 🔍 Fast, reliable, and scalable 🚀

ScraperForge

Instagram Mentions Scraper

scrapium/instagram-mentions-scraper

📲 Instagram Mentions Scraper finds posts that mention your brand, handle, or hashtag — with usernames, captions, timestamps, engagement & links. 🔎 Ideal for brand monitoring, UGC, influencer outreach & campaign tracking. 📈 Export CSV/JSON. 🚀

Scrapium

Instagram Tagged Mentions Posts Scraper

scrapier/instagram-tagged-mentions-posts-scraper

Scrape Instagram posts mentioning specific tags with the Instagram Tagged Mentions Posts Scraper. Extract captions, media, usernames, likes, comments, and timestamps. Ideal for brand monitoring, trend tracking, and engagement analysis. Fast, accurate, and scalable for bulk scraping.

Scrapier

Instagram Mentions Scraper

simpleapi/instagram-mentions-scraper

Instagram Mentions Scraper extracts posts where a profile is mentioned, capturing captions, media URLs, timestamps, hashtags, and engagement metrics. Ideal for brand monitoring, UGC analysis, influencer research, and automating structured Instagram mention-based insights at scale.

SimpleAPI

Instagram Tagged Mentions Posts Scraper

scrapelabsapi/instagram-tagged-mentions-posts-scraper

📣 Instagram Tagged & Mentions Posts Scraper collects posts that tag or mention your handle—captions, usernames, hashtags, timestamps, engagement & media URLs. 🔎 Perfect for brand monitoring, UGC curation, social listening & influencer outreach. 📊 Export CSV/JSON/API.

ScrapeLabs

Instagram Mentions Scraper

apify/instagram-tagged-scraper

Extract data from tagged posts and mentions on Instagram. Just add one or more Instagram usernames and get post text, hashtags, mentions, comments, images, likes, locations, and metadata. Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools.

Apify

7.8K

5.0

Instagram Mentions Scraper

api-empire/instagram-mentions-scraper

Instagram Mentions Scraper collects posts where a profile is mentioned. Extract captions, media, hashtags, timestamps, and engagement details. Ideal for brand monitoring, influencer analysis, audience research, and workflows needing structured Instagram mention data.