Aggregate data on weather and soil composition to identify areas of land around the world most similar to famous wine producing regions.

Wow! That's an awesome idea.

http://www.agrimetrics.co.uk/ there are a few others using land records for farming, not to say there isn't still room for more

Well the obvious scraping business ideas would be hotel rooms and airplane tickets. You might think this area is already saturated but I think there’s still room for disruption and you can capture niche giants like Expedia / Skyscanner / Agoda / Booking don’t handle well. Or you could do b2b with these companies.

Also, what about scraping restaurant menus and offering a food search engine?

There's probably a reason those sites don't handle niches very well: There's no scalable business model for those.

Travel / accommodation is a highly competitive as well as intentionally convoluted market. The participants don't want their customers to easily find the best offer. Sites like Expedia or Booking aren't complex and difficult to use because those companies don't know about UX. It's precisely the opposite. Problem is, the goals of their UX most of the time don't align with the users'.

Can you share any examples/ideas for niches that those sites don't already handle well?

I just booked a vacation on Expedia. What I really wanted was to find a list of rooms by price (airfare included) which can comfortably sleep 4 people - so I needed 4 actual beds. I tried looking at bigger rooms, but it looked like booking 2 cheap rooms was less expensive, but I'm still not sure if that's true. So basically you could see if you can accommodate large parties. Also, when I booked the rooms, I think it made me select one type, but in theory, i might have wanted one ocean front room and one without the view.

Here's another idea I just thought of randomly:

Scrape and monitor a company's competitor's job listings for them. Some of that data might be difficult to get given the nature of job sites and craigslist and such, but could be interesting to accumulate all of that (including from the company's own site) so you can get an idea when they are hiring.

Maybe.

Sorry if I've missed the main idea behind this, but why would that be relevant?

Looking at companies' hiring data is a great way to monitor competition.

If they try to hire for more positions than in the past they're probably growing, conversely they might be stagnating if it's the other way round.

If they hire people with specific skills it might also tell you what they're up to right now like going public or working on a new, supposedly secret project. Take Apple for instance. A notoriously secretive company, previous new projects like the iPhone, the Apple Watch and most notably a self-driving car have first been revealed by their own job postings.

This is in my opinion the same as buying at the height of a bubble; by the time you get this data on your competitor, you will be way behind. Why not spend resources on improving the offering?

True. Still, keeping tabs on the competition is big business.

If you're unhappy with your current workplace and want to do similar work in the same industry, competitors are a great place to start.

Am I the only one that worries about licensing and legal issues when it comes to web scraping? I'd be terrified to build a product around it since one law suit would threaten the core business.

Me too. Just look at the legal battle between LinkedIn and hiQ.

I have scraped, but not on the level where it would draw attention. Use the APIs if you can - Trip Advisor do offer an API, as do Bing (for search results).

Unless you are scraping at huge scale I actually think the bigger problem is lack of semantics - people like diffbot[1] using AI/ML to try and solve this issue.

[1] - https://www.diffbot.com

Everything that you can open in the browser you can scrape without any problem. Though keep in mind the number of requests you send to those parties should be thought about as it shouldn't vary greatly compared to a regular user. A user doesn't open 1000 pages in 60 seconds.

don't most sites claim they own data? Like could you legally scrape reddit and make your own site?

Some of the scraping projects I've done in the past have been where the article content I wanted was on a large site with great content but the site was awful to read - due to horrible combinations of pop-ups, colour schemes, adverts etc etc. I would spider and download content, process, and build my own database/simple CMS to make reading the content offline a much better experience.

Are you just looking for a personal project something like that might work for you...

Its a huge undertaking. You'd be competing with ACES/PIES, those guys charge about $10k a year last I checked. So there's definitely room to undercut them, if you can somehow get all that data.

Thanks for the reply. I was thinking of just using the scraped data to create an API that can take a VIN and give you the specs of that heavy duty vehicle (engine, weight, body type options, etc). I couldn't even imagine how crazy it would be to try and collect all of the parts data for every vehicle.

Scrape product information from ebay and other auction sites. Have a machine learning model that compares auction price vs. real price (or usual auction price). If the auction price is good... buy the products and flip them. In other words, you're basically building a system to help you find the best possible products to flip.

Searching for flights using rewards miles.

I think United & American used to have APIs that were shut down, so you'd need to scrape account data and flights. It would work best as a desktop app. Other airlines have APIs, but not sure how deep they are.

Huge pain point, especially when trying to combine different rewards programs.

I had something similar awhile back but it was eventually shut down by the airline’s legal department. If it’s not provided via a public API, I doubt scraping will turn out any different than my project.

If it's a desktop app and the crawling is not centralized, I doubt they'd be able to do much about it.

Lot of crawl-heavy SEO tools work this way.

Idk, I had a free open source command line project that scraped flight data and that got shut down. It might have been the particular airline, though, because they specifically disallow scraping from all third-parties including eg Google Flights, SkyScanner, etc.

Interesting. As a consumer, I'd love to see something in that space. I hate paying for most things, but a desktop app that allows me to search for rewards miles would be something I would pay a yearly fee for.

Scrape websites like TripAdvisor, Amazon, etc. for the ratings and compute an actual rating not based on averages. I've seen a few articles on how ratings are shown on those websites recently and they never seem to actually reflect the truth.

I have been trying to scrape travel places and recommendations data from TripAdvisor and other travel sites. Read about scrapy in another hn post yesterday and have been trying to get it running. Would appreciate any help on this.

sam.xenai [at] gmail [dot] com

Did you check out GitHub for open-source solutions? I'm sure the biggest names in the market are already covered when it comes to scrapers.

Streaming sources for music from popular artists that are not available on spotify (like mixtapes)

Good quality, accurate, high resolution stock / options / futures data

I recently had a similar idea which I ended up putting into real world, so I built a small search engine "UkookU" for used vehicles from scratch, it did not take me a long time to get the data and maintain it as I did not need to build any scrapers or care about sites blocking/abuse as I used a third party scrapping API called ProxyCrawl https://proxycrawl.com which allows me to make a proof of concept of the idea for free, so that shortened the time I needed to build the hadoop engine, etc.

I am thinking now recently to build a recruiting talent pool service, which is based on aggregated data from LinkedIn, Google, Bing, Yahoo, Facebook and many other sites and I am pitching something around it as I can get all the data with ProxyCrawl.

I am also thinking recently to do something about keyword ontologies, small markets around me using google/yandex data and offer it as a free helpful tool in the form of a mobile app. How do you normally get your data for your projects?