companyName string | countryCode string | countryIso3Code string | indicatorId string | indicatorName string | year string | value float64 | unit string | obsStatus string | decimal int64 | _run_id string | _dataset_id string |
|---|---|---|---|---|---|---|---|---|---|---|---|
East Asia & Pacific (excluding high income) | 4E | EAP | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2000 | 2.158518 | 1 | SJtYjIrOW5QpIefcy | NPxqVGVVOSKPCNWgg | ||
East Asia & Pacific (excluding high income) | 4E | EAP | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 1999 | 4.290729 | 1 | SJtYjIrOW5QpIefcy | NPxqVGVVOSKPCNWgg | ||
East Asia & Pacific (excluding high income) | 4E | EAP | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 1998 | 8.614832 | 1 | SJtYjIrOW5QpIefcy | NPxqVGVVOSKPCNWgg | ||
East Asia & Pacific (excluding high income) | 4E | EAP | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 1997 | 5.608028 | 1 | SJtYjIrOW5QpIefcy | NPxqVGVVOSKPCNWgg | ||
East Asia & Pacific (excluding high income) | 4E | EAP | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 1996 | 7.313483 | 1 | SJtYjIrOW5QpIefcy | NPxqVGVVOSKPCNWgg | ||
East Asia & Pacific (excluding high income) | 4E | EAP | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 1995 | 5.818182 | 1 | SJtYjIrOW5QpIefcy | NPxqVGVVOSKPCNWgg | ||
East Asia & Pacific (excluding high income) | 4E | EAP | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 1994 | 7.65824 | 1 | SJtYjIrOW5QpIefcy | NPxqVGVVOSKPCNWgg | ||
East Asia & Pacific (excluding high income) | 4E | EAP | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 1993 | 5.736906 | 1 | SJtYjIrOW5QpIefcy | NPxqVGVVOSKPCNWgg | ||
East Asia & Pacific (excluding high income) | 4E | EAP | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 1992 | 7.52351 | 1 | SJtYjIrOW5QpIefcy | NPxqVGVVOSKPCNWgg | ||
East Asia & Pacific (excluding high income) | 4E | EAP | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 1991 | 6.965681 | 1 | SJtYjIrOW5QpIefcy | NPxqVGVVOSKPCNWgg | ||
East Asia & Pacific (excluding high income) | 4E | EAP | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 1990 | 8.191371 | 1 | SJtYjIrOW5QpIefcy | NPxqVGVVOSKPCNWgg | ||
OECD members | OE | OED | SP.POP.TOTL | Population, total | 2023 | 1,387,846,131 | 0 | Zy8xe55PXikXhVej7 | O33B7143V8LRPVgTE | ||
OECD members | OE | OED | SP.POP.TOTL | Population, total | 2022 | 1,378,591,781 | 0 | Zy8xe55PXikXhVej7 | O33B7143V8LRPVgTE | ||
OECD members | OE | OED | SP.POP.TOTL | Population, total | 2021 | 1,371,780,402 | 0 | Zy8xe55PXikXhVej7 | O33B7143V8LRPVgTE | ||
OECD members | OE | OED | SP.POP.TOTL | Population, total | 2020 | 1,369,306,579 | 0 | Zy8xe55PXikXhVej7 | O33B7143V8LRPVgTE | ||
OECD members | OE | OED | SP.POP.TOTL | Population, total | 2019 | 1,364,143,219 | 0 | Zy8xe55PXikXhVej7 | O33B7143V8LRPVgTE | ||
OECD members | OE | OED | SP.POP.TOTL | Population, total | 2018 | 1,356,197,538 | 0 | Zy8xe55PXikXhVej7 | O33B7143V8LRPVgTE | ||
OECD members | OE | OED | SP.POP.TOTL | Population, total | 2017 | 1,348,125,258 | 0 | Zy8xe55PXikXhVej7 | O33B7143V8LRPVgTE | ||
OECD members | OE | OED | SP.POP.TOTL | Population, total | 2016 | 1,340,141,055 | 0 | Zy8xe55PXikXhVej7 | O33B7143V8LRPVgTE | ||
OECD members | OE | OED | SP.POP.TOTL | Population, total | 2015 | 1,331,674,197 | 0 | Zy8xe55PXikXhVej7 | O33B7143V8LRPVgTE | ||
Low income | XM | SP.POP.TOTL | Population, total | 2024 | 747,152,629 | 0 | vEZQjxoUdNW94zcU3 | 7eEqCWDchuawpgrOk | |||
Low income | XM | SP.POP.TOTL | Population, total | 2023 | 727,162,058 | 0 | vEZQjxoUdNW94zcU3 | 7eEqCWDchuawpgrOk | |||
Low income | XM | SP.POP.TOTL | Population, total | 2022 | 707,776,045 | 0 | vEZQjxoUdNW94zcU3 | 7eEqCWDchuawpgrOk | |||
Low income | XM | SP.POP.TOTL | Population, total | 2021 | 689,336,827 | 0 | vEZQjxoUdNW94zcU3 | 7eEqCWDchuawpgrOk | |||
Low income | XM | SP.POP.TOTL | Population, total | 2020 | 670,891,024 | 0 | vEZQjxoUdNW94zcU3 | 7eEqCWDchuawpgrOk | |||
European Union | EU | EUU | SP.POP.TOTL | Population, total | 2020 | 446,870,959 | 0 | mbXnExZpSwnLfbdPd | dn2YUF4w83iZvZnIL | ||
European Union | EU | EUU | SP.POP.TOTL | Population, total | 2019 | 446,910,453 | 0 | mbXnExZpSwnLfbdPd | dn2YUF4w83iZvZnIL | ||
European Union | EU | EUU | SP.POP.TOTL | Population, total | 2018 | 446,058,453 | 0 | mbXnExZpSwnLfbdPd | dn2YUF4w83iZvZnIL | ||
European Union | EU | EUU | SP.POP.TOTL | Population, total | 2017 | 445,321,060 | 0 | mbXnExZpSwnLfbdPd | dn2YUF4w83iZvZnIL | ||
European Union | EU | EUU | SP.POP.TOTL | Population, total | 2016 | 444,676,652 | 0 | mbXnExZpSwnLfbdPd | dn2YUF4w83iZvZnIL | ||
European Union | EU | EUU | SP.POP.TOTL | Population, total | 2015 | 443,793,218 | 0 | mbXnExZpSwnLfbdPd | dn2YUF4w83iZvZnIL | ||
European Union | EU | EUU | SP.POP.TOTL | Population, total | 2014 | 442,920,819 | 0 | mbXnExZpSwnLfbdPd | dn2YUF4w83iZvZnIL | ||
European Union | EU | EUU | SP.POP.TOTL | Population, total | 2013 | 442,425,741 | 0 | mbXnExZpSwnLfbdPd | dn2YUF4w83iZvZnIL | ||
European Union | EU | EUU | SP.POP.TOTL | Population, total | 2012 | 442,069,839 | 0 | mbXnExZpSwnLfbdPd | dn2YUF4w83iZvZnIL | ||
European Union | EU | EUU | SP.POP.TOTL | Population, total | 2011 | 441,414,078 | 0 | mbXnExZpSwnLfbdPd | dn2YUF4w83iZvZnIL | ||
European Union | EU | EUU | SP.POP.TOTL | Population, total | 2010 | 442,088,310 | 0 | mbXnExZpSwnLfbdPd | dn2YUF4w83iZvZnIL | ||
Europe & Central Asia (excluding high income) | 7E | ECA | NY.GDP.PCAP.CD | GDP per capita (current US$) | 2000 | 1,790.79766 | 1 | 8oVcjvRi6dUktJvgI | sA95DyYLFywMXd0Pr | ||
Europe & Central Asia (excluding high income) | 7E | ECA | NY.GDP.PCAP.CD | GDP per capita (current US$) | 1999 | 1,767.138919 | 1 | 8oVcjvRi6dUktJvgI | sA95DyYLFywMXd0Pr | ||
Europe & Central Asia (excluding high income) | 7E | ECA | NY.GDP.PCAP.CD | GDP per capita (current US$) | 1998 | 1,940.965606 | 1 | 8oVcjvRi6dUktJvgI | sA95DyYLFywMXd0Pr | ||
Europe & Central Asia (excluding high income) | 7E | ECA | NY.GDP.PCAP.CD | GDP per capita (current US$) | 1997 | 1,941.278992 | 1 | 8oVcjvRi6dUktJvgI | sA95DyYLFywMXd0Pr | ||
Europe & Central Asia (excluding high income) | 7E | ECA | NY.GDP.PCAP.CD | GDP per capita (current US$) | 1996 | 1,830.625682 | 1 | 8oVcjvRi6dUktJvgI | sA95DyYLFywMXd0Pr | ||
Europe & Central Asia (excluding high income) | 7E | ECA | NY.GDP.PCAP.CD | GDP per capita (current US$) | 1995 | 1,737.91189 | 1 | 8oVcjvRi6dUktJvgI | sA95DyYLFywMXd0Pr | ||
Europe & Central Asia (excluding high income) | 7E | ECA | NY.GDP.PCAP.CD | GDP per capita (current US$) | 1994 | 1,239.774365 | 1 | 8oVcjvRi6dUktJvgI | sA95DyYLFywMXd0Pr | ||
Europe & Central Asia (excluding high income) | 7E | ECA | NY.GDP.PCAP.CD | GDP per capita (current US$) | 1993 | 1,589.725406 | 1 | 8oVcjvRi6dUktJvgI | sA95DyYLFywMXd0Pr | ||
Europe & Central Asia (excluding high income) | 7E | ECA | NY.GDP.PCAP.CD | GDP per capita (current US$) | 1992 | 1,549.08489 | 1 | 8oVcjvRi6dUktJvgI | sA95DyYLFywMXd0Pr | ||
Europe & Central Asia (excluding high income) | 7E | ECA | NY.GDP.PCAP.CD | GDP per capita (current US$) | 1991 | 1,622.937932 | 1 | 8oVcjvRi6dUktJvgI | sA95DyYLFywMXd0Pr | ||
Europe & Central Asia (excluding high income) | 7E | ECA | NY.GDP.PCAP.CD | GDP per capita (current US$) | 1990 | 1,700.961399 | 1 | 8oVcjvRi6dUktJvgI | sA95DyYLFywMXd0Pr | ||
Latin America & Caribbean (excluding high income) | XJ | LAC | NY.GDP.PCAP.CD | GDP per capita (current US$) | 2024 | 10,065.502906 | 1 | ASiEk9luy4hbNTlLm | aWM7KoRAGyBFFa72h | ||
Latin America & Caribbean (excluding high income) | XJ | LAC | NY.GDP.PCAP.CD | GDP per capita (current US$) | 2023 | 9,891.46328 | 1 | ASiEk9luy4hbNTlLm | aWM7KoRAGyBFFa72h | ||
Latin America & Caribbean (excluding high income) | XJ | LAC | NY.GDP.PCAP.CD | GDP per capita (current US$) | 2022 | 8,838.671695 | 1 | ASiEk9luy4hbNTlLm | aWM7KoRAGyBFFa72h | ||
Latin America & Caribbean (excluding high income) | XJ | LAC | NY.GDP.PCAP.CD | GDP per capita (current US$) | 2021 | 7,694.611369 | 1 | ASiEk9luy4hbNTlLm | aWM7KoRAGyBFFa72h | ||
Latin America & Caribbean (excluding high income) | XJ | LAC | NY.GDP.PCAP.CD | GDP per capita (current US$) | 2020 | 6,651.158221 | 1 | ASiEk9luy4hbNTlLm | aWM7KoRAGyBFFa72h | ||
High income | XD | NY.GDP.MKTP.CD | GDP (current US$) | 2023 | 69,198,099,195,981.1 | 0 | c9mNveJEZJNHONffB | UTQ2chmxMPw5zxlsQ | |||
High income | XD | NY.GDP.MKTP.CD | GDP (current US$) | 2022 | 65,786,278,258,965.5 | 0 | c9mNveJEZJNHONffB | UTQ2chmxMPw5zxlsQ | |||
High income | XD | NY.GDP.MKTP.CD | GDP (current US$) | 2021 | 63,391,298,085,502.9 | 0 | c9mNveJEZJNHONffB | UTQ2chmxMPw5zxlsQ | |||
High income | XD | NY.GDP.MKTP.CD | GDP (current US$) | 2020 | 56,371,361,601,599.7 | 0 | c9mNveJEZJNHONffB | UTQ2chmxMPw5zxlsQ | |||
High income | XD | NY.GDP.MKTP.CD | GDP (current US$) | 2019 | 57,773,149,281,723.6 | 0 | c9mNveJEZJNHONffB | UTQ2chmxMPw5zxlsQ | |||
High income | XD | NY.GDP.MKTP.CD | GDP (current US$) | 2018 | 57,187,415,577,395 | 0 | c9mNveJEZJNHONffB | UTQ2chmxMPw5zxlsQ | |||
High income | XD | NY.GDP.MKTP.CD | GDP (current US$) | 2017 | 53,791,631,491,481.3 | 0 | c9mNveJEZJNHONffB | UTQ2chmxMPw5zxlsQ | |||
High income | XD | NY.GDP.MKTP.CD | GDP (current US$) | 2016 | 51,167,643,745,037.1 | 0 | c9mNveJEZJNHONffB | UTQ2chmxMPw5zxlsQ | |||
High income | XD | NY.GDP.MKTP.CD | GDP (current US$) | 2015 | 50,179,969,310,921.3 | 0 | c9mNveJEZJNHONffB | UTQ2chmxMPw5zxlsQ | |||
Africa Eastern and Southern | ZH | AFE | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2010 | 5.537538 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Eastern and Southern | ZH | AFE | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2009 | 8.954218 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Eastern and Southern | ZH | AFE | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2008 | 12.566645 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Eastern and Southern | ZH | AFE | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2007 | 8.450775 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Eastern and Southern | ZH | AFE | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2006 | 8.898164 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Eastern and Southern | ZH | AFE | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2005 | 8.558038 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Eastern and Southern | ZH | AFE | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2004 | 5.023421 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Eastern and Southern | ZH | AFE | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2003 | 7.4497 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Eastern and Southern | ZH | AFE | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2002 | 8.763755 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Eastern and Southern | ZH | AFE | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2001 | 5.840354 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Eastern and Southern | ZH | AFE | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2000 | 8.601485 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Western and Central | ZI | AFW | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2010 | 1.784844 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Western and Central | ZI | AFW | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2009 | 3.28244 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Western and Central | ZI | AFW | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2008 | 8.452976 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Western and Central | ZI | AFW | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2007 | 3.607368 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Western and Central | ZI | AFW | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2006 | 4.4159 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Western and Central | ZI | AFW | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2005 | 5.631634 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Western and Central | ZI | AFW | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2004 | 0.694336 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Western and Central | ZI | AFW | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2003 | 1.760904 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Western and Central | ZI | AFW | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2002 | 3.188693 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Western and Central | ZI | AFW | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2001 | 4.361529 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Africa Western and Central | ZI | AFW | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2000 | 2.530775 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Arab World | 1A | ARB | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2010 | 3.911062 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Arab World | 1A | ARB | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2009 | 2.920897 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Arab World | 1A | ARB | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2008 | 11.270665 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Arab World | 1A | ARB | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2007 | 4.743906 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Arab World | 1A | ARB | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2006 | 3.544986 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Arab World | 1A | ARB | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2005 | 3.493685 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Arab World | 1A | ARB | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2004 | 3.63228 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Arab World | 1A | ARB | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2003 | 2.712592 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Arab World | 1A | ARB | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2002 | 1.832994 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Arab World | 1A | ARB | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2001 | 1.772204 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Arab World | 1A | ARB | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2000 | 1.85379 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Caribbean small states | S3 | CSS | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2010 | 3.310185 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Caribbean small states | S3 | CSS | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2009 | 0.213901 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Caribbean small states | S3 | CSS | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2008 | 7.213852 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Caribbean small states | S3 | CSS | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2007 | 3.94653 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Caribbean small states | S3 | CSS | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2006 | 3.496314 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW | ||
Caribbean small states | S3 | CSS | FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | 2005 | 3.604618 | 1 | vKM99ePC6ttF0OwrM | rcsY7oAUbB9MeMFlW |
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World Bank Scraper · Indicators, Countries, Values & Series
Scrape World Bank global development indicators, country GDP, population, inflation, economic series, and historical annual values. Fast HTTP API scraper with pay-per-event pricing.
| Rows in this dataset | 2,753 |
| Fields | 12 |
| Collector runs behind it | 50 |
| Most recent observation | 2026-08-03 |
What this is
Every row here was returned by a real run of a public collector. Nothing is generated from a template over a keyword list: a row exists because a run observed it.
Provenance
Each row carries _run_id and _dataset_id, naming the collector run that produced it, so any
row can be traced back to the run that observed it. Rows observed by more than one run are
deduplicated on content; 118 duplicate observations were collapsed.
Files
world-bank-scraper.jsonl— one JSON object per row, the canonical formworld-bank-scraper.csv— the same rows flattened; nested values are JSON-encoded within their cell so they round-tripdataset.json— schema.orgDatasetmetadata
Loading it
from datasets import load_dataset
ds = load_dataset("reapxdev/world-bank-scraper", split="train")
Related
- All sources: https://reapx.dev/data/ · machine-readable index: https://reapx.dev/llms.txt
- The collector is a public Apify Actor; agents reach it through https://mcp.apify.com
Licence
Collected from public sources. This metadata and the published pages are CC BY 4.0; the underlying records remain under the terms of their originating source.
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