{ "_id": "6a1024fbacfb0bcc41c8e7ae", "Package": "IndiAPIs", "Type": "Package", "Title": "Access Indian Data via Public APIs and Curated Datasets", "Version": "0.1.0", "Maintainer": "Renzo Caceres Rossi ", "Description": "Provides functions to access data from public RESTful APIs\nincluding 'World Bank API', and 'REST Countries API',\nretrieving real-time or historical data related to India, such\nas economic indicators, and international demographic and\ngeopolitical indicators. Additionally, the package includes one\nof the largest curated collections of open datasets focused on\nIndia, covering topics such as population, economy, weather,\npolitics, health, biodiversity, sports, agriculture,\ncybercrime, infrastructure, and more. The package supports\nreproducible research and teaching by integrating reliable\ninternational APIs and structured datasets from public,\nacademic, and government sources. For more information on the\nAPIs, see: 'World Bank API'\n,\n'REST Countries API' .", "License": "MIT + file LICENSE", "Language": "en", "URL": "https://github.com/lightbluetitan/indiapis,\nhttps://lightbluetitan.github.io/indiapis/", "BugReports": "https://github.com/lightbluetitan/indiapis/issues", "Encoding": "UTF-8", "LazyData": "true", "Authors@R": "person(\ngiven = \"Renzo\",\nfamily = \"Caceres Rossi\",\nrole = c(\"aut\", \"cre\"),\nemail = \"arenzocaceresrossi@gmail.com\",\ncomment = c(ORCID = \"0009-0005-0744-854X\")\n)", "RoxygenNote": "7.3.2", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "libssl-dev", "Repository": "https://lightbluetitan.r-universe.dev", "Date/Publication": "2025-08-20 19:49:49 UTC", "RemoteUrl": "https://github.com/lightbluetitan/indiapis", "RemoteRef": "HEAD", "RemoteSha": "88eca7952e4c5eca51d7d8b603b42bd4bdf4e101", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-13 09:45:02 UTC", "User": "root" }, "Author": 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"name": "Renzo Caceres Rossi", "email": "arenzocaceresrossi@gmail.com", "login": "lightbluetitan", "linkedin": "in/andrescaceresrossi", "uuid": 13672461 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "utils", "role": "Imports" }, { "package": "httr", "role": "Imports" }, { "package": "jsonlite", "role": "Imports" }, { "package": "dplyr", "role": "Imports" }, { "package": "scales", "role": "Imports" }, { "package": "tibble", "role": "Imports" }, { "package": "ggplot2", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "lightbluetitan", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-33", "n": 1 }, { "week": "2025-34", "n": 1 } ], "_tags": [], "_stars": 0, "_contributors": [ { "user": "lightbluetitan", "count": 2, "uuid": 13672461 } ], "_userbio": { "uuid": 13672461, "type": "user", "name": "Renzo Cáceres Rossi", "description": "Soy un fanatico del Lenguaje de programación R , desarrollador de paquetes y metapaquetes para R y Python 🐍📦" }, "_downloads": { "count": 185, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/IndiAPIs" }, "_devurl": "https://github.com/lightbluetitan/indiapis", "_pkgdown": "https://lightbluetitan.github.io/indiapis/", "_searchresults": 0, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/IndiAPIs.html", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/lightbluetitan/indiapis", "_realowner": "lightbluetitan", "_cranurl": true, "_releases": [ { "version": "0.1.0", "date": "2025-08-26" } ], "_exports": [ "birds_watching_tbl_df", "BirthDeathRates_df", "BombayPlague1905_df", "BurdwanRiceYield_df", "BurdwanWeather_df", "ButterflySpecies_df", "CyberCrime_India_tbl_df", "DataScienceJobs_tbl_df", "DelhiPotatoPrices_ts", "diesel_fuelprice_tbl_df", "exports_imports_tbl_df", "GDPIndia_tbl_df", "get_country_info_in", "get_india_child_mortality", "get_india_cpi", "get_india_energy_use", "get_india_gdp", "get_india_hospital_beds", "get_india_life_expectancy", "get_india_literacy_rate", "get_india_population", "get_india_unemployment", "GoldPricesIndia_df", "hospitalcount_tbl_df", "India_census2011_tbl_df", "India_Companies_tbl_df", "India_SharkTank_tbl_df", "IndiaLandReforms_df", "indianPopulation_tbl_df", "IndiaPopulation_dt", "IPLCricket_tbl_df", "petrol_fuelprice_tbl_df", "petrol_prices_tbl_df", "rainfall_tbl_df", "road_population_tbl_df", "smartphones5G_tbl_df", "startup_funding_tbl_df", "Top500Cities_tbl_df", "Unicorn_startups_tbl_df", "view_datasets_IndiAPIs", "WestBengalPop_tbl_df" ], "_datasets": [ { "name": "birds_watching_tbl_df", "title": "Indian Bird Observations: Tracking Species", "object": "birds_watching_tbl_df", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "name", "scientific name", "last observation", "total observations" ], "rows": 490, "table": true, "tojson": true }, { "name": "BirthDeathRates_df", "title": "Changes in Human Birth and Death Rates in India Over the 20th Century", "object": "BirthDeathRates_df", "class": [ "data.frame" ], "fields": [ "Year", "Birth.rate", "death.rate" ], "rows": 27, "table": true, "tojson": true }, { "name": "BombayPlague1905_df", "title": "Weekly deaths from bubonic plague in Bombay in 1905-06", "object": "BombayPlague1905_df", "class": [ "data.frame" ], "fields": [ "Week", "CumulativeDeaths" ], "rows": 32, "table": true, "tojson": true }, { "name": "BurdwanRiceYield_df", "title": "Yearly Rice Yield Data in Burdwan District, West Bengal", "object": "BurdwanRiceYield_df", "class": [ "data.frame" ], "fields": [ "Year", "burdwan" ], "rows": 39, "table": true, "tojson": true }, { "name": "BurdwanWeather_df", "title": "Weekly Weather Data for Rice Growing Season in Burdwan District", "object": "BurdwanWeather_df", "class": [ "data.frame" ], "fields": [ "Date", "SMW", "Week", "Max.Temperature", "Min.Temperature", "Precipitation", "Relative.Humidity" ], "rows": 741, "table": true, "tojson": true }, { "name": "ButterflySpecies_df", "title": "Distribution of Butterfly Species in India", "object": "ButterflySpecies_df", "class": [ "data.frame" ], "fields": [ "Serial_Number", "Area", "Locality", "Total_Species_count", "Skippers", "Swallow_tails", "Whites_Yellows", "Blues", "Brush_Footed" ], "rows": 44, "table": true, "tojson": true }, { "name": "CyberCrime_India_tbl_df", "title": "CyberCrime in India", "object": "CyberCrime_India_tbl_df", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "City", "Personal Revenge", "Anger", "Fraud", "Extortion", "Causing Disrepute", "Prank", "Sexual Exploitation", "Disrupt Public Service", "Sale purchase illegal drugs", "Developing own business", "Spreading Piracy", "Psycho or Pervert", "Steal Information", "Abetment to Suicide", "Others", "Total" ], "rows": 191, "table": true, "tojson": true }, { "name": "DataScienceJobs_tbl_df", "title": "Data Science Jobs in India", "object": "DataScienceJobs_tbl_df", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "...1", "company_name", "job_title", "min_experience", "avg_salary", "min_salary", "max_salary", "num_of_salaries" ], "rows": 1602, "table": true, "tojson": true }, { "name": "DelhiPotatoPrices_ts", "title": "Monthly Average Potato Price of Delhi Market (India)", "object": "DelhiPotatoPrices_ts", "class": [ "ts" ], "fields": [ "Delhi" ], "rows": 127, "table": true, "tojson": true }, { "name": "diesel_fuelprice_tbl_df", "title": "Daily Diesel Fuel Price Data in India (2002-2020)", "object": "diesel_fuelprice_tbl_df", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "city", "date", "rate", "state" ], "rows": 17235, "table": true, "tojson": true }, { "name": "exports_imports_tbl_df", "title": "Exports and Imports of India (1997-July 2022)", "object": "exports_imports_tbl_df", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "Country", "Export", "Import", "Total Trade", "Trade Balance", "Financial Year(start)", "Financial Year(end)" ], "rows": 5994, "table": true, "tojson": true }, { "name": "GDPIndia_tbl_df", "title": "India GDP (1960-2022)", "object": "GDPIndia_tbl_df", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "...1", "India GDP - Historical Data...2", "India GDP - Historical Data...3", "India GDP - Historical Data...4", "India GDP - Historical Data...5" ], "rows": 63, "table": true, "tojson": true }, { "name": "GoldPricesIndia_df", "title": "Gold Prices Across Six Indian Cities from February 2022 to January 2023", "object": "GoldPricesIndia_df", "class": [ "data.frame" ], "fields": [ "Month", "Chennai_Low", "Chennai_High", "Kolkatta_Low", "Kolkatta_High", "Bangalore_Low", "Bangalore_High", "Madurai_Low", "Madurai_High", "Hyderabad_Low", "Hyderabad_High", "Delhi_Low", "Delhi_High" ], "rows": 12, "table": true, "tojson": true }, { "name": "hospitalcount_tbl_df", "title": "Hospitals Count in India - Statewise", "object": "hospitalcount_tbl_df", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "States/UTs", "Number of hospitals in public sector", "Number of hospitals in private sector", "Total number of hospitals (public+private)" ], "rows": 37, "table": true, "tojson": true }, { "name": "India_census2011_tbl_df", "title": "Indian Districts Population Data (2011 Census)", "object": "India_census2011_tbl_df", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "Ranking", "District", "State", "Population", "Growth", "Sex-Ratio", "Literacy" ], "rows": 610, "table": true, "tojson": true }, { "name": "India_Companies_tbl_df", "title": "Indian Companies in the Fortune Global 500", "object": "India_Companies_tbl_df", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "Name", "Industry", "Sector", "Headquarters", "Founded", "Notes", "Private/State", "Active/Defunct" ], "rows": 493, "table": true, "tojson": true }, { "name": "India_SharkTank_tbl_df", "title": "Shark Tank India Dataset", "object": "India_SharkTank_tbl_df", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "episode_number", "pitch_number", "brand_name", "idea", "deal", "pitcher_ask_amount", "ask_equity", "ask_valuation", "deal_amount", "deal_equity", "deal_valuation", "ashneer_present", "anupam_present", "aman_present", "namita_present", "vineeta_present", "peyush_present", "ghazal_present", "ashneer_deal", "anupam_deal", "aman_deal", "namita_deal", "vineeta_deal", "peyush_deal", "ghazal_deal", "total_sharks_invested", "amount_per_shark", "equity_per_shark" ], "rows": 117, "table": true, "tojson": true }, { "name": "IndiaLandReforms_df", "title": "Politics and Land Reforms in India", "object": "IndiaLandReforms_df", "class": [ "data.frame" ], "fields": [ "mouza", "year", "district", "rplacul", "rpdrhh", "rblacul", "rbgdrrghh", "election", "preelect", "edwalfco", "erlesscu", "ermgcu", "ersmcu", "ermdcu", "ercusmol", "ercubgol", "erillnb", "erlow", "ratleft0", "dwalfco", "inflat", "smfempyv", "incseats", "lfseats", "inflflag", "inclflag", "lflflag", "ratleft", "infiw", "infumme", "infal", "gp" ], "rows": 2670, "table": true, "tojson": true }, { "name": "indianPopulation_tbl_df", "title": "Indian Population (Census and Projections) by States", "object": "indianPopulation_tbl_df", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "code", "abbr", "state", "pop_1901", "pop_1951", "pop_2011", "pop_2023", "pop_2024" ], "rows": 36, "table": true, "tojson": true }, { "name": "IndiaPopulation_dt", "title": "List of places, abbreviations, and populations in India", "object": "IndiaPopulation_dt", "class": [ "data.table", "data.frame" ], "fields": [ "place", "abbrev", "population" ], "rows": 39, "table": true, "tojson": true }, { "name": "IPLCricket_tbl_df", "title": "Cricket data set for different seasons of Indian Premier League", "object": "IPLCricket_tbl_df", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "season", "match_id", "batting_team", "bowling_team", "inning", "over", "wicket", "dot_balls", "runs_per_over", "run_rate" ], "rows": 8560, "table": true, "tojson": true }, { "name": "petrol_fuelprice_tbl_df", "title": "Daily Petrol Fuel Price Data in India (2002-2020)", "object": "petrol_fuelprice_tbl_df", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "city", "date", "rate", "state" ], "rows": 5048, "table": true, "tojson": true }, { "name": "petrol_prices_tbl_df", "title": "Petrol Prices in India", "object": "petrol_prices_tbl_df", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "city", "date", "rate" ], "rows": 1024, "table": true, "tojson": true }, { "name": "rainfall_tbl_df", "title": "Rainfall in India (1901-2021)", "object": "rainfall_tbl_df", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "subdivision", "YEAR", "JUN", "JUL", "AUG", "SEP", "JUN-SEP" ], "rows": 4332, "table": true, "tojson": true }, { "name": "road_population_tbl_df", "title": "India Road and Population Data by State", "object": "road_population_tbl_df", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "Name of the States", "National Highways", "State Highways", "District Roads", "Rural Roads", "Urban roads", "Project Roads", "Total road Length", "Total Area", "Urban Road density", "Rural Road density", "Entire State Road length per 1000 sq km", "Urban Road lngth per 1000 sq km", "Rural Road lngth per 1000 sq km", "Road Density", "Road Density per 1000 Sq. Km - National Highways", "Road Density per 1000 Sq. Km - State Highways", "Road Density per 1000 Sq. Km - District Roads", "Road Density per 1000 Sq. Km - Rural Roads", "Road Density per 1000 Sq. Km - Urban roads", "Road Density per 1000 Sq. Km - Project Roads", "Area", "Rural Area (2011 census)", "Urban Area (2011 census)", "Rural Pop (2011 census)", "Urban Pop (2011 census)", "Total Population" ], "rows": 36, "table": true, "tojson": true }, { "name": "smartphones5G_tbl_df", "title": "5G Smartphones Available in India (2022)", "object": "smartphones5G_tbl_df", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "product name", "processor name", "camera specs rear", "camera specs front", "display size", "ram of phone", "storage", "battery", "android version", "first site", "price in first site", "second site", "price in second site", "real price available", "score by smartprice" ], "rows": 257, "table": true, "tojson": true }, { "name": "startup_funding_tbl_df", "title": "Indian Startup Funding", "object": "startup_funding_tbl_df", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "Sr No", "Date dd/mm/yyyy", "Startup Name", "Industry Vertical", "SubVertical", "City Location", "Investors Name", "InvestmentnType", "Amount in USD", "Remarks" ], "rows": 3044, "table": true, "tojson": true }, { "name": "Top500Cities_tbl_df", "title": "Top 500 Indian Cities", "object": "Top500Cities_tbl_df", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "name_of_city", "state_code", "state_name", "dist_code", "population_total", "population_male", "population_female", "0-6_population_total", "0-6_population_male", "0-6_population_female", "literates_total", "literates_male", "literates_female", "sex_ratio", "child_sex_ratio", "effective_literacy_rate_total", "effective_literacy_rate_male", "effective_literacy_rate_female", "location", "total_graduates", "male_graduates", "female_graduates" ], "rows": 493, "table": true, "tojson": true }, { "name": "Unicorn_startups_tbl_df", "title": "Indian Unicorn Startups 2023", "object": "Unicorn_startups_tbl_df", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "No.", "Company", "Sector", "Entry Valuation^^ ($B)", "Valuation ($B)", "Entry", "Location", "Select Investors" ], "rows": 102, "table": true, "tojson": true }, { "name": "WestBengalPop_tbl_df", "title": "West Bengal Population, Sex-Ratio, and Literacy Data (2011)", "object": "WestBengalPop_tbl_df", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "code", "abbr", "district", "pop_2011", "pop_increase_2011", "sex_ratio_2011", "literacy_per_2011", "density_2011" ], "rows": 23, "table": true, "tojson": true } ], "_help": [ { "page": "birds_watching_tbl_df", "title": "Indian Bird Observations: Tracking Species", "topics": [ "birds_watching_tbl_df" ] }, { "page": "BirthDeathRates_df", "title": "Changes in Human Birth and Death Rates in India Over the 20th Century", "topics": [ "BirthDeathRates_df" ] }, { "page": "BombayPlague1905_df", "title": "Weekly deaths from bubonic plague in Bombay in 1905-06", "topics": [ "BombayPlague1905_df" ] }, { "page": "BurdwanRiceYield_df", "title": "Yearly Rice Yield Data in Burdwan District, West Bengal", "topics": [ "BurdwanRiceYield_df" ] }, { "page": "BurdwanWeather_df", "title": "Weekly Weather Data for Rice Growing Season in Burdwan District", "topics": [ "BurdwanWeather_df" ] }, { "page": "ButterflySpecies_df", "title": "Distribution of Butterfly Species in India", "topics": [ "ButterflySpecies_df" ] }, { "page": "CyberCrime_India_tbl_df", "title": "CyberCrime in India", "topics": [ "CyberCrime_India_tbl_df" ] }, { "page": "DataScienceJobs_tbl_df", "title": "Data Science Jobs in India", "topics": [ "DataScienceJobs_tbl_df" ] }, { "page": "DelhiPotatoPrices_ts", "title": "Monthly Average Potato Price of Delhi Market (India)", "topics": [ "DelhiPotatoPrices_ts" ] }, { "page": "diesel_fuelprice_tbl_df", "title": "Daily Diesel Fuel Price Data in India (2002-2020)", "topics": [ "diesel_fuelprice_tbl_df" ] }, { "page": "exports_imports_tbl_df", "title": "Exports and Imports of India (1997-July 2022)", "topics": [ "exports_imports_tbl_df" ] }, { "page": "GDPIndia_tbl_df", "title": "India GDP (1960-2022)", "topics": [ "GDPIndia_tbl_df" ] }, { "page": "get_country_info_in", "title": "Get Country Information for India", "topics": [ "get_country_info_in" ] }, { "page": "get_india_child_mortality", "title": "Get India's Under-5 Mortality Rate from World Bank", "topics": [ "get_india_child_mortality" ] }, { "page": "get_india_cpi", "title": "Get India's Consumer Price Index (2010 = 100) from World Bank", "topics": [ "get_india_cpi" ] }, { "page": "get_india_energy_use", "title": "Get India's Energy Use (kg of oil equivalent per capita) from World Bank", "topics": [ "get_india_energy_use" ] }, { "page": "get_india_gdp", "title": "Get India's GDP (current US$) from World Bank", "topics": [ "get_india_gdp" ] }, { "page": "get_india_hospital_beds", "title": "Get India's Hospital Beds (per 1,000 people) from World Bank", "topics": [ "get_india_hospital_beds" ] }, { "page": "get_india_life_expectancy", "title": "Get India's Life Expectancy at Birth from World Bank", "topics": [ "get_india_life_expectancy" ] }, { "page": "get_india_literacy_rate", "title": "Get India's Adult Literacy Rate from World Bank", "topics": [ "get_india_literacy_rate" ] }, { "page": "get_india_population", "title": "Get India's Total Population from World Bank", "topics": [ "get_india_population" ] }, { "page": "get_india_unemployment", "title": "Get India's Unemployment Rate from World Bank", "topics": [ "get_india_unemployment" ] }, { "page": "GoldPricesIndia_df", "title": "Gold Prices Across Six Indian Cities from February 2022 to January 2023", "topics": [ "GoldPricesIndia_df" ] }, { "page": "hospitalcount_tbl_df", "title": "Hospitals Count in India - Statewise", "topics": [ "hospitalcount_tbl_df" ] }, { "page": "India_census2011_tbl_df", "title": "Indian Districts Population Data (2011 Census)", "topics": [ "India_census2011_tbl_df" ] }, { "page": "India_Companies_tbl_df", "title": "Indian Companies in the Fortune Global 500", "topics": [ "India_Companies_tbl_df" ] }, { "page": "India_SharkTank_tbl_df", "title": "Shark Tank India Dataset", "topics": [ "India_SharkTank_tbl_df" ] }, { "page": "IndiaLandReforms_df", "title": "Politics and Land Reforms in India", "topics": [ "IndiaLandReforms_df" ] }, { "page": "indianPopulation_tbl_df", "title": "Indian Population (Census and Projections) by States", "topics": [ "indianPopulation_tbl_df" ] }, { "page": "IndiAPIs", "title": "IndiAPIs: Access Indian Data via Public APIs and Curated Datasets", "topics": [ "IndiAPIs-package", "IndiAPIs" ] }, { "page": "IndiaPopulation_dt", "title": "List of places, abbreviations, and populations in India", "topics": [ "IndiaPopulation_dt" ] }, { "page": "IPLCricket_tbl_df", "title": "Cricket data set for different seasons of Indian Premier League", "topics": [ "IPLCricket_tbl_df" ] }, { "page": "petrol_fuelprice_tbl_df", "title": "Daily Petrol Fuel Price Data in India (2002-2020)", "topics": [ "petrol_fuelprice_tbl_df" ] }, { "page": 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