Pricing

Pay per usage

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Twitter Advanced Search Scraper

Try for free

Advanced Twitter/X scraper with powerful filtering capabilities. Extract detailed tweet info, user profiles, and media. Supports search by query, user, hashtags, and more.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Mikolabs

Actor stats

Bookmarked

Total users

Monthly active users

a month ago

Last modified

Categories

Automation

Social media

Integrations

You can access the Twitter Advanced Search 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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("mikolabs/twitter-advanced-search-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
15for item in client.dataset(run.default_dataset_id).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Twitter Advanced Search Scraper API in Python

The Apify API client for Python is the official library that allows you to use Twitter Advanced Search Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

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Twitter Advanced Search Scraper API in JavaScript

Twitter Advanced Search Scraper API through CLI

Twitter Advanced Search Scraper OpenAPI definition

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