Imgur Scraper
epctex/imgur-scraper
Extract millions of posts and memes from Imgur. Crawl and scrape descriptions, number of views, favorites, upvotes, downvotes, score, comment details, post creator, and all other deep-level details. You can specify search terms, filters, tags, list pages, and much more! Extremely fast, no limits!
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn mode
from apify_client import ApifyClient
# Initialize the ApifyClient with your API token
client = ApifyClient("<YOUR_API_TOKEN>")
# Prepare the Actor input
run_input = {
"startUrls": [
"https://imgur.com/user/IsNice",
"https://imgur.com/t/burrito",
"https://imgur.com/gallery/ILtkgRA",
"https://imgur.com/search?q=nice%20word",
],
"search": "super meme",
"maxItems": 20,
"endPage": 1,
"extendOutputFunction": "($) => { return {} }",
"customMapFunction": "(object) => { return {...object} }",
"proxy": { "useApifyProxy": True },
}
# Run the Actor and wait for it to finish
run = client.actor("epctex/imgur-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
Developer
Maintained by Community
epctexMaintained by CommunityActor stats
- 9 users
- 680 runs
- Modified about 10 hours ago
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