I am developing an app which will show live seat availability based on flight number using sabre apis.
https://developer.sabre.com/io-docs
I didnt find any way to do it.
Sabre needs marketing career details.
Is there any other way to get this using flight number only.
I believe that you want the seat map, this shows the available seats.
https://developer.sabre.com/docs/read/rest_apis/air/search/seat_map
Keep in mind, that if prices are returned they are as extra, the price of the seat will depend on the class of service used at the time of booking. And there are some seats that, even if available, the airline blocks them. Maybe for latter use, preferred customers, to have them available at check in, or whatever reason they have.
If you prefer XML, the EnhancedSeatMap service will give you what you need:
https://developer.sabre.com/docs/read/soap_apis/air/book/seat_map
The marketing carrier is needed to uniquely identify the flight, since the same flight number may be offered by other carriers for the same origin and destination, and the same date.
Related
I am using the Tour Planning API to route multiple trucks to deliver many orders.
The problem I am trying to solve currently is fully utilizing all of the trucks.
Let's say we have 100 deliveries to make and 7 trucks. I want the API to attempt to use all trucks (shifts). Currently, it will, at times, use 6 trucks or however most efficiently to route. This makes sense when cost savings is your only goal. The goal of our solution is also to take into account Driver Retention. If we have 7 drivers, we need to use all 7 drivers.
This feature is not yet available in the Tour planning production version. In the future, we may provide this feature where users would be able to ask Tour planning to utilize the maximum possible number of vehicles. Which in turn will use all vehicles if the number of jobs is more than the number of vehicles. Please contact HERE support or your HERE account executive to provide more input on your requirements
I've been doing some research on intent data and I have some technical questions, especially about how two businesses might be collecting "contact level" i.e. personally identified web traffic details without using third-party cookies.
Some quick background: Most of the large providers of intent data (bombora, the big willow/aberdeen/Spiceworks Ziff Davis, Tech Target etc.) offer "account" based intent data - essentially when users visit websites in their network, they do a reverse IP addresses lookup, match them to know IP addresses of large companies (usually companies with at least 250 employees) and note what topics are "surging" - aka showing unusual traffic on a given week. This largely makes sense to me. I'm assuming that when a visitor shows up at your site, google analytics and similar tools can tell you what google search keywords were used to arrive at your site, and that's how they can say things like - we can "observe intent signals across an unlimited number of contextual keyword categories, allowing you to customize your keywords and layer these insights onto your campaigns for optimal performance." Third party cookies, and data from DSP's (demand side platform's enabling ad buyers to buy ads across many platforms) are also involved in providing data, those these will be less useful sources of data after google sunset's third party cookies on Chrome.
Two providers - intentdata.io, and intentflow.com are offering contact level intent data. You can imagine why that would be of interest - if the director of sales is interested in your sales SaaS tool, you have a better idea of how qualified that lead is and who to reach out to. Only one of the two providers is specific about what exactly they're collecting - i.e. what "intent" they are capturing and how they're collecting it.
Intentdata.io:
Intentdata.io looks like a tiny company (two employees on LinkedIn). The most specific statement I've found about what their data is was in an Impact+ podcast interview - Ed, the CRO at intentdata.io, mentions that the data is analogous to commenting on a Forbes article or a conversation on LinkedIn. But he's clear - "that's just an analogy." They also say elsewhere that the data they provide mentions specifically what action the contact took that landed them in the provided data.
Ed from intentdata.io is also asked about GDPR compliance in his Impact+ interview - he basically says, some lawyers will disagree but he believes their data to be GDPR compliant, and it is in use by some firms in the EU. He does mention though that some firms have asked them to exclude certain columns from the data, like email addresses.
Edit: Found a bit more on intentdata.io - looks like they build a custom setup to pull "intent" data for each customer - they don't have a database monitoring company interaction with content across social media and b2b sites, instead you provide them with "lists (names and URLs) of customers, competitors, influencers, events, target accounts and key terms that would indicate intent at different stages in the buying journey. Pull together important hashtags, details on your ideal buyer (job titles, functions, seniority) and firmographics (size, industry, location)" - then they create a custom "algorithm" from this info, and they iterate on that "algorithm" a little bit over time.
They also make this statement on their site: "IntentData.io's data is collected from observing public actions that users are taking around the web. That means that first, we observe action (not reading, searching, browsing, being shown an ad, etc.) which we believe is a more concrete manifestation of intent. Second, people are taking these actions publicly for the world to see. We do not use any cookies, bidstream data or reverse IP lookups."
Finally one piece of their sales collateral asks: What ad budget do you have for PPC nurturing ads? So their may be some targeted PPC ads involved in the "algorithm."
Edit 2: Their sales collateral also states that they use "a third-party intent data methodology that uses multi-variable linear regression analysis to correlate observed actions with a specific contact. This is the method that the LeadSift engine of IntentData.io data uses."
Intentflow.com:
Intentflow.com seems like the sketchier of the two providers if I'm honest. They provide a video walkthrough of how they get their data at intentflow.com/thesis - but I'm not following how using "traceable urls" with no cookies involved, could give you contact level information. They also say they lookup what the most popular articles/pages are for 5k to 40k unique keywords or phrases that are related to 10-50 keywords or phrases you give them to target. And they use "traceable urls" to track who visits those sites. Again - no cookies involved. Supposedly fully compliant at least with US laws. They don't provide data for the EU "by design" so presumably they're not GDPR compliant? They also claim they can identify the individuals who are visiting your website, again using "traceable urls" - it seems clear from the pitch that you're asked to reach out to your backlink providers around the web to use this traceable url.
I've seen an interview where a rep from Bombora says they tried for a while to do contact level intent data and it wasn't very useful - and it wasn't really doable in a compliant way. Ed seems to be aware they've said that publicly, and he says "that's just not true."
So what's going on here? How exactly are these two small firms getting contact level intent data? Do you think they're doing it in a compliant way?
Got more information:
Intentdata.io use public comments, likes, shares etc. on blogs, social posts via web crawling and scraping for events, influencers, hashtags, articles etc. that the customer deems worth tracking. They do some work to try and connect the commenters with an identifiable contact. They bill on a quarterly basis for this.
Intentflow.com doesn't seem to use "traceable urls" at all. They take bidstream data, and identify the individual visitors via an "identity graph." They provide a minimum of 5k contacts per month at $2 per contact, making their data very expensive ($120k+ per year). You can't get lower than however many contacts their system spits out per month so it seems like there's not a good firm limit on what you will be charged. They say they can identify ~70% of web traffic, and they only provide data on US site visitors. Each row of their output would include not just the contact, but the site that contact was shown an ad on. Definitely interesting data - but I'm guessing they will be very affected by upcoming changes to third party cookies, privacy laws, etc.
Is there a way to get the average number of cars per time unit on each road in a bounding-box on a map using HERE traffic API ? or na indicator of this rate ?
The final goal would be to get the info regularly, and give the option to filter and average the data over time to display the results on a map.
Thanks
This is not possible with any of the APIs currently available on our developer portal. I'm not sure this is available at all, but you can use the contact us form on the portal to enquire about our Enterprise offering around traffic.
I want to create a smart contract and launch it for ICO. I also create a website where people can buy my token. I want know how to check how many token been sold (live)? so i can create a live bar counter to show how many percentages of the token already been sold.
Or is there a way i can monitor the token sale process in the smart contract?
A token contract is no different than any other smart contract. There are no special built in Solidity features or logic associated with them. They are just regular smart contracts that follow a specification.
So, if you want access to the number of tokens sold, you code that into your contract. While tokens sold is not part of the standard ERC20/ERC721 interface, nothing prevents you from adding a constant function to retrieve this information. In fact, if you're using the basic Zeppelin Crowdsale contract, you can just calculate it using the public state variables weiRaised / rate (Chances are you should be creating your own Crowdsale subcontract, so it's better to add the functionality you want there).
We can use the Etherscan Developer API to review transactions against a given contract address and find out the total supply or number of items available for sale.
There is a lot you can do with the Etherscan Developer API. For example, here's one URL that pulls data from Ethereum Mainnet -> Etherscan -> JSON parser -> Shields.io and renders it as an image to calculate the number of Su Squares remaining for sale:
Source: https://img.shields.io/badge/dynamic/json.svg?label=Su+Squares+available&url=https%3A%2F%2Fapi.etherscan.io%2Fapi%3Fmodule%3Daccount%26action%3Dtokenbalance%26contractaddress%3D0xE9e3F9cfc1A64DFca53614a0182CFAD56c10624F%26address%3D0xE9e3F9cfc1A64DFca53614a0182CFAD56c10624F%26tag%3Dlatest%26apikey%3DYourApiKeyToken&query=%24.result
^ I don't know if SO is going to cache the image here. But that URL is a live URL which pulls the number of Su Squares available hot off the blockchain.
I may start working on a project very similar to Hipmunk.com, where it pulls the hotel cost information by calling different APIs (like expedia, orbitz, travelocity, hotels.com etc)
I did some research on this, but I am not able to find any unique hotel id or any field to match the hotels between several API's. Anyone have experience on how can to compare the hotel from expedia with orbitz or travelcity etc?
Thanks
EDIT: Google also doing the same thing http://www.google.com/hotelfinder/
From what I have seen of GDS systems, and these API's there is rarely a unique identifier between systems for e.g. hotels
Airports, airlines and countries have unique ISO identifiers: http://www.iso-code.com/airports.2.html
I would guess you are going to have to have your own internal mapping to identify and disambiguate the properties.
:|
When you get started with hotel APIs, the choice of free ones isn't really that big, see e.g. here for an overview.
The most extensive and accessible one is Expedia's EAN http://developer.ean.com/ which includes Sabre and Venere with unique IDs but still each structured differently.
That is, you are looking into different database tables.
You do get several identifies such as Name, Address, and coordinates, which can serve for unique identification, assuming they are free of errors. Which is an assumption.