My go‑to tool is Apify. You can use a hashtag scraper or a follower scraper. First, choose what you want to scrape: either posts for a specific hashtag or the followers of a particular profile. Provide the hashtag (e.g., "automation") and the scraper returns a list of posts and the users who engaged with them. You can then pull those users' profiles and gather details, personalize messages with AI‑generated DMs, and send outreach. Alternatively, you can scrape the followers of a large, relevant Instagram account by supplying its URL, then extract their data and DM them. A third option is to scrape comments on high‑engagement posts (like giveaway posts); commenters show strong intent, so you can collect their info and reach out. In short, start with a hashtag scraper for the easiest results, use follower scrapers for niche audiences, and consider comment scrapers for high‑intent leads.
Sure, let's try that. I opened a tool and started looking for an Instagram follower scraper. I pulled up my Instagram channel, which is at about 178,107,853 followers, and navigated to the brand stats page. I ran into a few hiccups—copied the wrong text, opened too many tabs, and realized my earlier follower count was off. The actual number is closer to 106,000, not the 107,000 I mentioned yesterday, because I hadn't had access to a proper scraping tool before. I then checked my main channel growth, which is at 77,708, and noted a recent video that is performing well, boosting my daily updates to around 3,924. I also mentioned that we're approaching 4,000 subscribers overall, all from providing immediate value and brainstorming live. The rest of the walkthrough was just me showing the stats and acknowledging the inaccuracies while I look for a reliable Instagram follower scraper.
I can approach it with three main content pillars. First, awareness content that covers the latest AI news—anything new, free, or just launched. Second, implementation content that shows how to actually use AI tools, like deep‑seek tutorials, so it’s not just dry theory. Third, no‑code content that demonstrates using AI via APIs with platforms such as n8n or Make.com. I’ll also add a fourth pillar focused on "AI money"—showing how to monetize the tools rather than just how they work. Each piece will include a clear CTA back to my YouTube channel for detailed guides, and I’ll sprinkle short YouTube clips or intro snippets to keep interest high and drive cross‑platform traffic.
Yes, I’ve released it. You can find the Instagram automation on leftclicker.gumroad.com (it might also be in Maker School). It has 12 reviews—feel free to leave a five‑star rating if you like it.
Ideal customers are creators who are just starting to standardize their content, have around 10K–100K followers, are at the early stage of exponential growth, and are looking to outsource or work with a team to reduce costs. You can serve them by using a transcript to automatically generate posts for ten social platforms—either fully automated or with a person handling it. To find these leads, scrape Instagram, Twitter, and YouTube for channels in that follower range. For example, use a YouTube scraper with about fifty search terms to get roughly a thousand videos for $5, which corresponds to about six hundred creators. Take the top ten percent (about fifty to a hundred channels), sort them by subscriber count, and then use a YouTube channel scraper to pull contact details from video descriptions—Instagram, website, etc.—giving you Instagram, Facebook, X/Twitter, and LinkedIn profiles. With those contacts, take one of their long‑form YouTube videos and use your system to create customized content for each platform at a marginal cost of just a few cents. Finally, run personalized outreach based on the video or another asset, ensuring each message includes some level of customization.