This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Ad libraries are public but fragmented. Every platform is a silo - different UI, different filters, different quirks. If you want to see what competitors are running, you're either opening four tabs and pasting into Excel, or maintaining scrapers that rot with every layout change. adextract gives AI agents a single MCP endpoint to search, read, and compare ads across Meta, TikTok, LinkedIn, and more. Claude connects with OAuth - paste the URL and your agent reads ads in under a minute.
I got tired of building scrapers that broke every time Meta moved a div. ad libraries are public. Meta, TikTok, LinkedIn, Google - they all have them. But every platform is its own silo with its own UI and its own filters. If you want to see what competitors are running, you're either opening four tabs and pasting into Excel, or maintaining scrapers that rot with every layout change.
adextract is a single MCP endpoint that lets AI agents search, read, and compare ads across all of them. Claude connects with OAuth - paste the URL, sign in, done. No API keys.
It's free for up to 50 searches. I'd love to hear what ad research workflows you'd want automated - what's the thing you keep doing manually that you wish your agent could handle?
How does the data freshness actually compare to the platforms themselves, especially for TikTok where ads cycle pretty fast? And is there any limit on how many ads an agent can pull per query, or does the MCP endpoint just stream whatever's available?
How does the pricing scale if I want to pull a high volume of ads daily across all four platforms, and is there any rate-limit pain I should expect from the underlying ad libraries?
I kept running into the same issue: public ad libraries exist, but cross-platform ad research is still painful. Different UIs, different filters, different workflows, and a lot of manual effort to compare anything properly.
adextract makes that available through one MCP endpoint so agents can do the research across Meta, TikTok, LinkedIn, and Google from one place. Would love to know what part of ad research you would hand off to an agent first.
About adextract on Product Hunt
“ad intelligence for AI agents”
adextract was submitted on Product Hunt and earned 5 upvotes and 6 comments, placing #106 on the daily leaderboard. Ad libraries are public but fragmented. Every platform is a silo - different UI, different filters, different quirks. If you want to see what competitors are running, you're either opening four tabs and pasting into Excel, or maintaining scrapers that rot with every layout change. adextract gives AI agents a single MCP endpoint to search, read, and compare ads across Meta, TikTok, LinkedIn, and more. Claude connects with OAuth - paste the URL and your agent reads ads in under a minute.
adextract was featured in Marketing (465.8k followers), Advertising (29.7k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 186k products, making this a competitive space to launch in.
Who hunted adextract?
adextract was hunted by Gaurav Singh. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how adextract stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Gaurav Singh