Apify Actor Insta Event Sheriff
Pricing
from $0.40 / 1,000 results
🚀 Specialized in Instagram Event Analysis. High-speed scraping with Internal Caching to save costs. Smart fake account detection & Follow-checks."
Pricing
from $0.40 / 1,000 results
Rating
5.0
(1)
Developer
WONJIN CHA
Actor stats
0
Bookmarked
4
Total users
2
Monthly active users
24 days ago
Last modified
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Paste the full Instagram Post URL here (e.g., https://www.instagram.com/p/...). This is the only mandatory field.
Stop collecting after N comments. 0 = Auto-detect from post (Risk of stopping early). Set high (e.g., 5000) to force deeper scroll.
Enter the username of the account hosting the event (without @). Used to check if commenters are following this account.
If CHECKED: Visits each profile to calculate Trust Score and verify followers. ⚠️ SLOWER but more accurate for filtering bots.
If CHECKED: The Actor attempts to scrape your follower list automatically to check membership. ⚠️ WARNING: High risk of blocks for accounts with >5k followers. Use 'Known Followers List' instead.
Paste your follower usernames here. Supports: • JSON Array: ["user1", "user2"] • Text: Comma, space, or newline separated list.
Select 'Apify Proxy' -> 'Residential' for best results. Datacenter proxies are often blocked. If not specified, defaults to Residential proxy.
Save money! If enabled, re-running the same URL within 24h loads data instantly from cache instead of using compute credits.
Hours to keep the cached data valid.
Maximum days to reuse profile data. If older, it will be re-scraped even if cache exists. Resets when reused.
If a previous run failed recently, resume from where it left off. This setting limits how 'fresh' the cache must be to resume (e.g. 1 = 1 hour). Set 0 for unlimited.
새 댓글이 이 시간(분) 이상 수집되지 않으면 수집 단계를 자동 종료하고 분석으로 넘어갑니다. 0이면 비활성화. 권장: 3~5분.
새 댓글 없이 몇 번의 스크롤 후 수집을 종료할지 설정합니다 (Recovery 루프 횟수). 권장: 10~20. 낮을수록 빠르게 종료됩니다.
수집이 막혔을 때 최대 몇 번까지 계정을 교체하며 복구를 시도할지 설정합니다. (기본값: 3)
If CHECKED: Collect only main comments and skip reply threads. Faster and use fewer requests.
