Twitter Data Export Scraper
Pricing
from $1.14 / 1,000 rows
Keep Twitter (X) accounts and publishing activity in one research file. Start with Twitter URLs; each returned record keeps text, engagement count, author identifiers, author handles, and author names.
Pricing
from $1.14 / 1,000 rows
Rating
0.0
(0)
Developer
ReapX
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 hours ago
Last modified
Categories
Share
You can access the Twitter Data Export 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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "startUrls": ["https://x.com/nasa"],10 "maxItems": 50,11 "maxSeconds": 180,12 "includeReplies": False,13 "includeReposts": False,14}15
16# Run the Actor and wait for it to finish17run = client.actor("reapx/twitter-data-export-scraper").call(run_input=run_input)18
19# Fetch and print Actor results from the run's dataset (if there are any)20print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")21for item in client.dataset(run.default_dataset_id).iterate_items():22 print(item)23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Twitter Data Export Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: