Ask HN: How do you earn a living from scraping in 2018?
I have been scraping housing markets. LinkedIn paired with hunter.io for creating mailing lists of companies. Recently I started MITM and Burp to intercept Apps to get direct api access. I created a docker container using different tor endpoints for different ips. I even used ssh proxying to create my own ip network.
To bypass recaptcha I build a container with chrome + puppeteer with anticaptcha preinstalled and pre logged in.
Yet I wonder if it is still worth it. Kinda looking for a mentor or inspiration.
Been a long time HN reader and I wonder what you think? Why scraping is still worth it in 2018?
30 comments
[ 3.4 ms ] story [ 66.9 ms ] threadKind of a party foul in my book. .
What problems are your projects solving? Are people were paying (in either effort or money) to solve these problems currently?
https://answers.microsoft.com/en-us/bing/forum/bing_other-bi...
Like others have said, start with the problem, rather than coming up with solutions first.
Do you have any of the things you listed on github or anything? Curious to checkout a few of them.
My main goal was to use browser automation for arbitrage.
you can find some old projects here in german. https://franz.media/
Like others have said: earn money by doing things that people want enough to pay you for.
It's like asking "how do you earn a living giving good names to variables in 2018?"
Stick diverse data feeds in a neural network and try to predict earnings for companies, energy demand or something else valuable to know in advance? Build off some of the ideas that Google trends/insights offer?
Always thought someone should put together a 'bittorrent client for scraping' where you can make large distributed queries as long as you service others.
What are the ramifications for ignoring copyright and TOS?
Build a site for people wanting to buy a car and know what's the avg asking price of models with the same characteristics.
For example: say I want to buy a Freelander for max 10K. I'll go and check all freelanders and quickly notice that most in that range are from the year 2010 and 2012. Kilometers differ, guarantees, etc.
For me at least, I go into each and mentally account what's important and compare to decide which ones I'll contact.
I could use a service that would weigh all the variables and basically say to me: these 3 offer the best value for the money and within your price range.
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If you are able to build email lists, I'll just leave this here: you can upload Look A Like Audiences to facebook to advertise to similar people as your email list.
I'm sure you can see the possibilities here. Sorry I don't go into details as I'm mobile.
The advantage of this, if you pick something common with hundreds of listings, is you could easily derive a relationship between the two variables and see if a given ad was above or below average.
I never had any idea where to begin marketing it to other people though. I suppose if I knew someone who provided a car buying service...
As you know that well, you could do the opposite. An antiscraping product.
Things I think are worth $$$
Scrape anything difficult to scrape.
Scrape things that change and keep historical data.
Make a generic scraper and generic api.