Twitter comments scraper
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Twitter comments scraper
3 days trial then $19.00/month - No credit card required now
Scrape twitter comments and users from given tweet url. Useful to DM to people who might be interested in your product or service.
You can access the Twitter comments scraper programmatically from your own Python 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 "tweetUrl": "https://twitter.com/elonmusk/status/1692435700275404853",
10 "minDelay": 2,
11 "maxDelay": 5,
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("curious_coder/twitter-replies-scraper").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
Twitter comments scraper API in Python
The Apify API client for Python is the official library that allows you to use Twitter comments scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-client
Other API clients include:
Actor Metrics
60 monthly users
-
8 stars
66% runs succeeded
4.2 days response time
Created in Jul 2023
Modified 2 days ago