X (Twitter) Posts Search avatar
X (Twitter) Posts Search

Pricing

Pay per event

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X (Twitter) Posts Search

X (Twitter) Posts Search

scraper_one/x-posts-search

Developed by

Scraper One

Maintained by Community

✨ Search for X (formerly Twitter) posts using keywords or hashtags. Retrieve post URLs, content, publication dates, author details, and engagement metrics. Ideal for monitoring brand mentions on X over time.

0.0 (0)

Pricing

Pay per event

0

Monthly users

6

Runs succeeded

>99%

Last modified

8 hours ago

You can access the X (Twitter) Posts Search 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.

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    "query": "Iceland",
10    "resultsCount": 30,
11    "searchType": "top",
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("scraper_one/x-posts-search").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

X (Twitter) Posts Search API in Python

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

Install the apify-client

pip install apify-client

Other API clients include:

Pricing

Pricing model

Pay per event 

This Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.

Initialize actor

$0.003

Initialize actor

Result item

$0.001

Result item