Reddit Scraper
1 day trial then $45.00/month - No credit card required now
Reddit Scraper
1 day trial then $45.00/month - No credit card required now
Unlimited Reddit web scraper to crawl posts, comments, communities, and users without login. Limit web scraping by number of posts or items and extract all data in a dataset in multiple formats.
You can access the Reddit 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 "startUrls": [{ "url": "https://www.reddit.com/r/pasta/comments/vwi6jx/pasta_peperoni_and_ricotta_cheese_how_to_make/" }],
10 "sort": "new",
11 "maxItems": 10,
12 "maxPostCount": 10,
13 "maxComments": 10,
14 "maxCommunitiesCount": 2,
15 "maxUserCount": 2,
16 "scrollTimeout": 40,
17 "proxy": {
18 "useApifyProxy": True,
19 "apifyProxyGroups": ["RESIDENTIAL"],
20 },
21}
22
23# Run the Actor and wait for it to finish
24run = client.actor("trudax/reddit-scraper").call(run_input=run_input)
25
26# Fetch and print Actor results from the run's dataset (if there are any)
27print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
28for item in client.dataset(run["defaultDatasetId"]).iterate_items():
29 print(item)
30
31# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start🤖 Reddit Scraper API in Python
The Apify API client for Python is the official library that allows you to use Reddit Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Gustavo Rudiger- 374 monthly users
- 38 stars
- 99.9% runs succeeded
- 1.1 days response time
- Created in Feb 2022
- Modified 2 days ago
