If you’re building lead lists from Yelp, you know that most scrapers are inconsistent—they break halfway through a city search or return "ghost" data.
I built a dedicated Yelp Scraper for Apify that focuses on one thing: consistent data at scale. No coding required, no proxy management on your end, just the business data you need for your outreach.
Click: Actor Link
High success rate, easy to use, and built to handle 50+ cities in one go.
Hey guys, I’ve been working on a new Instagram Scraper on the Apify platform. Unlike most tools that charge you a flat fee even when they're failing, I’ve switched this to the Pay-Per-Event (PPE) model.
What it does differently:
I’m looking for some "real world" feedback. If you have a list of handles you need to enrich, try running them through my Actor.
Let me know what other fields you’d like to see!
If you’ve tried scraping Instagram lately, you know the struggle—proxy costs and 403 errors are a nightmare.
f you're running TikTok ads, you're probably aware the TikTok Ad Library exists — but manually browsing it for competitor research is genuinely painful.
The problems with the native UI:
I spent a few weeks reverse-engineering the Ad Library API and built an Apify actor that solves all of this.
What you can do now:
✅ Search any brand name or keyword (try your competitor's domain) ✅ Filter by country — 47 regions supported including all EU/EEA markets ✅ Sort by most recent, most impressions, or creation date ✅ Export all video CDN URLs + thumbnail images ✅ Get audience size estimates (0-1K, 1K-10K, 100K-1M, etc.) ✅ See first and last shown dates to track campaign lifecycle ✅ Optional: pull full targeting breakdown (age, gender, countries, interests)
Real example output for a brand search:
No TikTok account needed. No API approval. Just plug in your search params and run.
Link: Scraper Link
Has anyone else been using the Ad Library for competitor research? Curious what workflows people have built around this data.