USE CASE:
Martech companies on YouTube: audience size without the guesswork
Everything below is about one job: audience size for martech companies on YouTube, done in a way that survives a list rather than a single lookup. We are Mamba Labs, we build Apify actors, and YouTube Channel Stats Extractor is the one that does this for martech companies on YouTube.
The problem
On YouTube, martech one at a time is fine, and a list of them is not. YouTube is a search engine that pays, so a subscriber count and a view count measure different things, and audience size for martech companies on YouTube inherits that. Worth knowing about martech companies on YouTube, since audience size inherits it: their sites carry every tag under the sun, so a tech stack detector returns forty tools and no signal. There is 1 runnable example of audience size for martech companies on YouTube below.
How we would run it
- Start with one of martech companies on YouTube you already know, so a wrong audience size answer is obvious rather than plausible.
- Run YouTube Channel Stats Extractor across your list of martech companies on YouTube, which carries 1 ready made setup for audience size.
- Read ten rows of audience size on martech companies on YouTube by hand before you trust the rest of the list.
Traditional Search Tools
- BuiltWith, for martech companies on YouTube. Deep history on a noisy stack, and you pay for the depth.
- The channel's recent uploads, for martech companies on YouTube. Free, and the gap between subscribers and recent views is the honest number.
- The platform APIs. Official, accurate and gated. Most now require an app review to read a public follower count, which is weeks of work for one number.
- Social listening suites. Brandwatch, Sprout and the rest do this among many other things. Priced for a brand team, not for a qualification step in a sales list.
- SimilarWeb or a traffic estimator. A different proxy for the same question. Better for whether anyone visits, worse for whether anyone follows.
- Open the profiles. Find the accounts, read the numbers, write them down. Two minutes per brand per network, and completely accurate on the day you do it.
Preconfigured tasks
A task is one of these actors with the inputs already filled in for a specific version of this job. Open one, swap in your own list, and run it without setting anything up from scratch.