IGScraping
Find verified emails from Instagram followers & influencers
IGScraping launched on August 26, 2025 with 7 votes, #3,174 of 8,530 launches that month. The site was still online in September 2026, 1 year on.
What it does
Stop wasting hours hunting for leads on Instagram. IGScraping extracts verified emails from any public Instagram account’s followers or following lists. Build targeted outreach lists, launch campaigns, or create lookalike audiences — all in minutes.
Scrape your target audience from influencers and competitors
Does a similar job
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IG Email Finder2025 · igemailfinder.com · ▲12We’ve been working on IG Email Finder, a web tool that helps marketers, founders, and small teams find verified business emails from Instagram accounts that do not list their contact info. We just released an update that improves the deep research process. It now identifies more verified business emails from accounts that are otherwise unreachable and connects directly with MillionVerifier to clean and validate every contact before download. All data sourcing follows GDPR and CCPA guidelines. The tool only uses publicly available information and verified business records to ensure…


Auditor for Instagram2018 · hypeauditor.com · ▲283Analyze any Instagram account for fake followers and likes
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IG Scraper & Email Finder2022 · chromewebstore.google.com · ▲84Scraper tool that will help you get more B2B clients
More growth this month
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Source: Product Hunt launch ↗
Launched alongside, August 2025
the whole month →

I built the world's most impractical 1000-pixel display and anyone in the world can draw on it. It draws a single pixel at a time and takes 30-60 minutes to complete a single image. Anyone can participate in the project by voting for the next image to be drawn, and submitting images. https://kilopx.com/
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Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters. This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! We're releasing this to give early users a sense of the latency and voices…
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