This research report is about the data scraped from Bird App in the Madrid city. You can see how well X-Byte Enterprise Crawling has scrapped data and we have also discussed the concept of scooter sharing, about Bird app, scrapped data fields, and how X-Byte can help in Bird app data scraping.

Scooter sharing is one kind of shared mobility that has received more credits in the past few years.

All these services provide short-term rental of electric scooters and electric kick-scooters.

The development of scooter sharing app is like car sharing and bike sharing because it costs less as well as it is great for smaller trips.

Like various models of the shared mobility, scooter and bike sharing is planned at solving various distresses like easy city congestion, fuel economy, lesser CO2 emissions, and solving parking problems.

Scooter sharing is an extremely convenient solution for the first mile as well as last-mile problems.

The first mile indicates the distance between the transportation hubs where a trip begins – a bus stop or railway station– as well as a commuter’s starting point.

The last mile is the distance between the transportation hubs where a trip ends having a passenger’s last destination.

So, the commuters could choose more sensible means of transport rather than paying hundreds of dollars every month on a taxi.

Bird scooter sharing provides you access to the shared personal electric scooters or vehicles, which can be picked as well as dropped anywhere.

Bird is zealous about lively communities, which have lesser traffic, safer streets, and cleaner air.

They’re working with universities and cities around the world to offer new transportation alternatives, counterpart public transit systems, as well as invest in the safety infrastructure, which benefits everybody.

In more crowding, Bird scooters can cut the usage of vehicles as well as reduce the traffic volume on the road.

Bird scooters are environment-friendly as they are all-electric so they are the carbon-free option for cars.

With greater accessibility, Bird scooters match current infrastructure, as well as give a substitute to go from place A to place B in the areas having lesser transport options.

Bird removes all the requirements of limitlessly searching for car parking, which sources the traffic on congested streets and pollutes air within the procedure.

One customary car parking place could fit into 10 scooters, as well as Bird reimagines all these spaces like multi-purpose parking slots where dock-less scooters, as well as bikes, could easily park.

Bird is working well in countries like New Zealand, Europe, Middle East, and North America.

Let’s take a quick look at the analysis done by X-Byte for Bird App Data Scraping in Madrid City:

We have scraped the total latlong (Latitude & Longitude) of the Madrid City and they were 12,964 in numbers.

We have scraped the total scooter data and the data was over 14 Million.

We have also scraped the total unique data and the total unique data includes 40,046.

Total available scooter found multiple times were 39,344.

Total scooters found static (only once) include 702 .

Battery level in 0-10% was 0 as well as for 10-50% it was 8501 which was considered very good.

At X-Byte Enterprise Crawling, we help you scrape various data fields from Bird Scooter App:

At X-Byte Enterprise Crawling, we can scrape Bird scooter app data as well as extract data given in the databases including JSON, MYSQL, or MongoDB with valid characteristics provided for all entries.

Features, which need to be available for various entries including color, clarity, pricing, etc.

We work with endways data for upholding as well as making the crawlers normalize, clear, or maintain the data quality.

X-Byte Enterprise Crawling provides the Best Bird App Data Scraping services to scrape Bird scooter app data from different scooter apps. Get Bird scooter app scraping services at affordable prices.