Is there anyway to scrape the Front wheel drive vehicles from wikipedia
Here is the wiki link https://en.wikipedia.org/w/index.php?title=Category:Front-wheel-drive_vehicles
Thanks for your reply !!! 
Making a macro of this type requires a lot of trained people.
I made a macro that extracts all the names of the cars, automatically calculates how many names there are, applies the maximum possible speed and saves in a csv, I made an excellent job, fast and working.
I had some time available for this I could help you but making a job of this type takes a long time, The macro takes a few seconds to extract all the names and save them in a csv.
Macro code:
{
“Name”: “Automobile”,
“CreationDate”: “2021-9-22”,
“Commands”: [
{
“Command”: “store”,
“Target”: “true”,
“Value”: “!ERRORIGNORE”,
“Description”: “”
},
{
“Command”: “store”,
“Target”: “NODISPLAY”,
“Value”: “!REPLAYSPEED”,
“Description”: “”
},
{
“Command”: “bringBrowserToForeground”,
“Target”: “”,
“Value”: “”,
“Description”: “”
},
{
“Command”: “open”,
“Target”: “Category:Front-wheel-drive vehicles - Wikipedia”,
“Value”: “”,
“Description”: “”
},
{
“Command”: “waitForPageToLoad”,
“Target”: “10000”,
“Value”: “”,
“Description”: “”
},
{
“Command”: “storeXpathCount”,
“Target”: “xpath=(//div[@class=‘mw-category-group’]//h3/following::div[@class=‘mw-category-group’]//a )”,
“Value”: “Quantity”,
“Description”: “”
},
{
“Command”: “times”,
“Target”: “${Quantity}”,
“Value”: “”,
“Description”: “”
},
{
“Command”: “storeText”,
“Target”: “xpath=(//div[@class=‘mw-category-group’]//h3/following::div[@class=‘mw-category-group’]//a )[${!TIMES}]”,
“Value”: “AutomobileModelName”,
“Description”: “”
},
{
“Command”: “echo”,
“Target”: “${AutomobileModelName}”,
“Value”: “#shownotification”,
“Description”: “”
},
{
“Command”: “store”,
“Target”: “${AutomobileModelName}”,
“Value”: “!csvline”,
“Description”: “”
},
{
“Command”: “csvSave”,
“Target”: “AutomobileModelName.csv”,
“Value”: “”,
“Description”: “”
},
{
“Command”: “end”,
“Target”: “”,
“Value”: “”,
“Description”: “”
},
{
“Command”: “echo”,
“Target”: “Macro Completed The Work”,
“Value”: “#shownotification”,
“Description”: “”
}
]
}
Csv with datas scraped
Acura CL
Acura CSX
Acura EL
Acura ILX
Acura Legend
Acura MDX
Acura RL
Acura RLX
Acura TL
Acura TLX
Acura TSX
Adler 2 Liter
Adler Trumpf
Adler Trumpf Junior
Aeolus A30
Aeolus AX3
Aeolus AX5
Aeolus AX7
Aeolus L60
Aeolus S30
Aeolus Yixuan
Aeolus Yixuan GS
Aeolus Yixuan Max
Aleko
Alfa Romeo 33
Alfa Romeo 145 and 146
Alfa Romeo 147
Alfa Romeo 155
Alfa Romeo 156
Alfa Romeo 159
Alfa Romeo 164
Alfa Romeo 166
Alfa Romeo Alfasud
Alfa Romeo Arna
Alfa Romeo Giulietta (940)
Alfa Romeo GT
Alfa Romeo GTV and Spider
Alfa Romeo MiTo
Alfa Romeo Romeo
Alfa Romeo Sprint
Alfa Romeo Tipo 103
AMC Amitron
Aston Martin Cygnet
Audi 50
Audi 80
Audi 100
Audi A1
Audi A2
Audi A3
Audi A4
Audi A5
Audi A6
Audi A7
Audi A8
Audi Coupé
Audi F103
Audi Front
Audi Q3
Audi Q5
Audi RS 3 LMS TCR
Austin Allegro
Austin Ambassador
Austin Apache
Austin de Luxe
Austin Kimberley
Austin Maestro
Austin Maxi
Austin Metro
Austin Montego
Austin Newmarket
Austin Princess
Auto Union 1000
Auto Union 1000 Sp
Autobianchi A111
Autobianchi A112
Autobianchi Primula
Autobianchi Y10
Autozam Clef
Autozam Revue
BAIC BJ20
Bamby Cars
Baojun 310
Baojun 360
Baojun 510
Baojun 530
Baojun 560
Baojun 630
Baojun 730
Baojun RC-5
Baojun RC-6
Baojun RM-5
Baojun RS-3
Beijing U5
Beijing U7
Beijing X5
Berkeley Cars
Bestune B30
Bestune NAT
Bestune T33
Bestune T55
Bestune T77
Bestune T99
Biscuter Pegasin
Bisu M3
Bisu T3
Bisu T5
BMC ADO16
BMC ADO17
BMW 1 Series (F52)
BMW 2 Series Gran Coupé
BMW X1 (F48)
BMW X2
Brilliance BS4
Brilliance H3
Brilliance H230
Brilliance H330
Brilliance H530
Brilliance V3
Brilliance V5
Brilliance V6
Brilliance V7
BTC-T Alfa Romeo 147
BTC-T Honda Civic Type-R
BTC-T Honda Integra Type R
BTC-T MG ZS EX259
BTC-T Peugeot 307
BTC-T Peugeot 406 Coupé
BTC-T Proton Impian
BTC-T Vauxhall Astra Coupe
BTC-T Vauxhall Astra Sport Hatch
Bucciali
Buick Century
Buick Electra
Buick Enclave
Buick Encore
Buick Envision
Buick Excelle
Buick Excelle GT
Buick GL6
Buick GL8
Buick LaCrosse
Buick LeSabre
Buick Lucerne
Buick Park Avenue
Buick Regal
Buick Rendezvous
Buick Riviera
Buick Skyhawk
Buick Skylark
Buick Terraza
Buick Verano
BYD D1
BYD Dolphin
BYD e2
BYD e3
BYD G5
BYD M3 DM
BYD Song
BYD Song Max
BYD Yuan
Cadillac Allanté
Cadillac BLS
Cadillac Cimarron
Cadillac DTS
Cadillac Eldorado
Cadillac Fleetwood
Cadillac de Ville series
Cadillac Seville
Cadillac Urban Luxury Concept
Cadillac XTS
Chang’an Oushang Honor
Changan Alsvin
Changan Alsvin V3
Changan BenBen
Changan CS15
Changan CS35
Changan CS35 Plus
Changan CS95
Changan CX30
Changan Eado
Changan Eado DT
Changan Joice
Changan Raeton
Changan Raeton CC
Changan Ruixing M80
Changan Ruixing M90
Changan Ruixing S50
Changan UNI-K
Changhe A6
Chery A3
Chery Tiggo 3x
Chery Tiggo 5x
Chery Tiggo 8
Chery V5
Chevrolet Aveo
Chevrolet Aveo (T200)
Chevrolet Beretta
Chevrolet Blazer (crossover)
Chevrolet Captiva
You can use same script which I shared for automobiles titles.
TAG is same, you have to edit when to stop
I solved the problem with a macro code