Twitter Comments Scraper - No Login Needed

Pricing

from $1.50 / 1,000 results

Twitter Comments Scraper - No Login Needed

Extract Twitter post comments anonymously without login. Instantly gather audience insights in clean, ready-to-analyze formats for seamless social media strategy optimization.

Pricing

from $1.50 / 1,000 results

Rating

0.0

(0)

Developer

Data Slayer

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

Social media

Developer tools

Automation

You can access the Twitter Comments Scraper - No Login Needed 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": "1.0",
    "x-build-id": "ZQL5Wy1Qme0UIE0hs"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/data-slayer~twitter-comments/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-data-slayer-twitter-comments",
        "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": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/data-slayer~twitter-comments/runs": {
      "post": {
        "operationId": "runs-sync-data-slayer-twitter-comments",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/data-slayer~twitter-comments/run-sync": {
      "post": {
        "operationId": "run-sync-data-slayer-twitter-comments",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": [
          "tweetId"
        ],
        "properties": {
          "tweetId": {
            "title": "Tweet ID",
            "type": "string",
            "description": "Tweet ID"
          },
          "maxPages": {
            "title": "Maximum Pages",
            "minimum": 1,
            "maximum": 100,
            "type": "integer",
            "description": "Maximum number of pages to fetch (pagination handled automatically)",
            "default": 1
          }
        }
      },
      "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
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Twitter Comments Scraper - No Login Needed 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 Twitter Comments Scraper - No Login Needed 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:

Twitter Comments Scraper - No Login Needed API in Python

Twitter Comments Scraper - No Login Needed API in JavaScript

Twitter Comments Scraper - No Login Needed API through CLI

Twitter Comments Scraper - No Login Needed API

💬 Instagram Comments Scraper (No Login)

louisdeconinck/instagram-comments-scraper

Scrape all comments from any Instagram post in seconds. No login required. Get text, likes, timestamps, and usernames — even from large posts. Fast, affordable, and easy to use. Ideal for lead gen, research, and trend spotting. Just paste the URL and go.

Louis Deconinck

696

4.9

(9)

Twitter(X) Comment Scraper:No cookies required

fastcrawler/twitter-x-comment-scraper-no-cookies-required

Capture all Twitter replies, including hidden and nested ones that conversation ID methods often miss. With advanced sentiment and tone analysis, quickly sort replies by likes, relevance, or emotion. No cookies required. Fast, accurate, and ideal for complete conversation scraping.

fastcrawler

431

5.0

(5)

Advanced Instagram Stories Scraper (Fast)

datavoyantlab/advanced-instagram-stories-scraper

Scrape public Instagram stories by profiles with media URLs, timestamps & metadata. No login needed. Fast, reliable & easy to use. Supports photo & video stories. Ideal for research & monitoring.

DataVoyantLab

226

3.1

(7)

DeviantArt Email Scraper – Advanced, Cheapest & Reliable 📧⚡📷

contactminerlabs/deviantart-email-scraper---advanced-cheapest-reliable

🔍 Scrape DeviantArt Emails Enter your search parameters to collect verified contact emails from public DeviantArt profiles, along with profile title, bio, source URL & platform info ✉️📊 Perfect for lead generation, influencer outreach & data enrichment in tools like Google Sheets or CRMs⚡🧩

ContactMinerLabs

5.0

(1)

Figma Email Scraper – Advanced, Cheapest & Reliable 📧⚡📷

contactminerlabs/figma-email-scraper---advanced-cheapest-reliable

🔍 Scrape Figma Emails Enter your search parameters to collect verified contact emails from public Figma profiles, along with profile title, bio, source URL & platform info ✉️📊 Perfect for lead generation, influencer outreach & data enrichment in tools like Google Sheets or CRMs⚡🧩

ContactMinerLabs

5.0

(1)

Instagram Story Details Scraper

louisdeconinck/instagram-story-details-scraper

Extract detailed Instagram stories data for data analysis, content monitoring, and competitor research. Does not require authentication or login. Fast & easy to use. Supports photo & video stories.

Louis Deconinck

343

4.3

(7)

🏯 Tiktok Comments Scraper (Pay Per Result)

apidojo/tiktok-comments-scraper

Extract TikTok comments at 100–200 comments/second. No proxy required. 98% success rate. Scrape text, likes, replies, and user data with simple URL input. Export to JSON/CSV, integrate via API. Ideal for influencer research, lead generation, and trend analysis. $0.30 per 1,000 comments.

API Dojo

1.1K

4.1

(3)

Instagram Reels Post Scraper 🎬

scrapearchitect/instagram-reels-post-scraper

🎬 Extract rich metadata from Reels instantly! Get likes ❤️, comments 💬, descriptions 📝, thumbnails 🖼️, resolution 📐, author info 👤 & MORE—no login needed! Perfect for analysts & marketers. 🔍 Instagram Reels Post Scraper 🚀

Scrape Architect

Skool Members Scraper

memo23/skool-members-scraper-rent

Boost your business leads with our Skool.com Groups' Members/Users Scraper. Gather user details like names, emails, and social media links (Facebook, Instagram, LinkedIn, Twitter, etc.). It is ideal for market research, competitor analysis, and lead generation. Save time with our advanced scraper.

Muhamed Didovic

159

1.0

(1)

🏯 Tiktok Music & Sound Scraper (Pay Per Result)

apidojo/tiktok-music-scraper

Scrape TikTok music data at 300 tracks/sec with 98% success - no proxy needed. Extract titles, artists, IDs, usage counts, covers & video data in real-time. Supports URL/ID input. Export JSON/CSV with full API integration. Perfect for trend tracking, viral analysis & campaigns.

API Dojo

131

5.0

(1)

Instagram Single Reels Scraper

scraper-engine/instagram-single-reels-scraper

Instagram Single Reels Scraper fetches complete insights from one Reel link—captions, hashtags, mentions, views, likes, comments, thumbnails, video URL, and music data. Get clean JSON output for analytics, growth tracking, influencer audits, or competitive benchmarking at scale.