To download historical Bhavcopy PR just mention the date in numeric format(Date, Month, Year). Note that date should be mentioned in quotation mark "" (inverted comma). The function returns list containing ten dataframes form Bhavcopy PR.
library(nser)
library(readr)
report = bhavpr("01072021")
head(report)
#> $`./Bc010721.csv`
#> # A tibble: 687 x 10
#> SERIES SYMBOL SECURITY RECORD_DT BC_STRT_DT BC_END_DT EX_DT ND_STRT_DT
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 16 SRTRA~ Sec Red~ 07/08/20~ <NA> <NA> 05/0~ <NA>
#> 2 17 SRTRA~ Sec Red~ 07/08/20~ <NA> <NA> 05/0~ <NA>
#> 3 18 SRTRA~ Sec Red~ 07/08/20~ <NA> <NA> 05/0~ <NA>
#> 4 19 SRTRA~ Sec Red~ 07/08/20~ <NA> <NA> 05/0~ <NA>
#> 5 BE LTI L&T Inf~ 02/07/20~ <NA> <NA> 01/0~ <NA>
#> 6 BE PDMJE~ Pudumje~ <NA> 14/08/2021 21/08/20~ 12/0~ <NA>
#> 7 BE LSIL Lloyds ~ <NA> 09/07/2021 15/07/20~ 07/0~ <NA>
#> 8 BE BALKR~ Balkrsh~ <NA> 17/07/2021 23/07/20~ 15/0~ <NA>
#> 9 BE CROMP~ Crompt ~ 09/07/20~ <NA> <NA> 08/0~ <NA>
#> 10 BE KIRLF~ Kirlosk~ <NA> 18/07/2021 27/07/20~ 15/0~ <NA>
#> # ... with 677 more rows, and 2 more variables: ND_END_DT <chr>, PURPOSE <chr>
#>
#> $`./Gl010721.csv`
#> # A tibble: 168 x 5
#> GAIN_LOSS SECURITY CLOSE_PRIC PREV_CL_PR PERCENT_CG
#> <chr> <chr> <dbl> <dbl> <dbl>
#> 1 <NA> Nifty 50 Sec. NA NA NA
#> 2 <NA> <NA> NA NA NA
#> 3 G DR. REDDY'S LABORATORIES 5558. 5423. 2.5
#> 4 G GAIL (INDIA) LTD 153 150. 2.24
#> 5 G HINDALCO INDUSTRIES LTD 379. 372. 1.98
#> 6 G BAJAJ AUTO LIMITED 4205. 4134. 1.71
#> 7 G TATA MOTORS LIMITED 344. 340. 1.37
#> 8 G SUN PHARMACEUTICAL IND L 684. 675. 1.29
#> 9 G OIL AND NATURAL GAS CORP. 119. 118. 0.98
#> 10 G ASIAN PAINTS LIMITED 3022. 2993. 0.97
#> # ... with 158 more rows
#>
#> $`./HL010721.csv`
#> # A tibble: 105 x 4
#> SECURITY NEW PREVIOUS NEW_STATUS
#> <chr> <dbl> <dbl> <chr>
#> 1 FORTIS HEALTHCARE LTD 250. 248. H
#> 2 HAPPIEST MINDS TECHNO LTD 1194. 1020 H
#> 3 JSW ENERGY LIMITED 177 172. H
#> 4 MAGADH SUGAR & ENERGY LTD 353. 336. H
#> 5 MPHASIS LIMITED 2184 2144. H
#> 6 NITIN FIRE PROT IND. LTD. 1.4 1.35 H
#> 7 ONE POINT ONE SOL LTD 32.8 31.3 H
#> 8 PITTI ENGINEERING LIMITED 145 140. H
#> 9 PROSEED INDIA LTD 5.1 4.9 H
#> 10 RAJRATAN GLOBAL WIRE LTD 1848 1557. H
#> # ... with 95 more rows
#>
#> $`./Pd010721.csv`
#> # A tibble: 2,126 x 16
#> MKT SERIES SYMBOL SECURITY PREV_CL_PR OPEN_PRICE HIGH_PRICE LOW_PRICE
#> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 Y <NA> <NA> Nifty 50 15722. 15755. 15756. 15667.
#> 2 Y <NA> <NA> NIFTY50~ 17666. 17699. 17714. 17642.
#> 3 Y <NA> <NA> NIFTY10~ 18815. 18848. 18878. 18805.
#> 4 Y <NA> <NA> NIFTY10~ 12302. 12327. 12347. 12300.
#> 5 Y <NA> <NA> NIFTY A~ 27135 27160. 27177. 26965.
#> 6 Y <NA> <NA> NIFTY M~ 10182. 10205. 10206. 10147.
#> 7 Y <NA> <NA> NIFTY S~ 4891. 4914. 4941. 4896.
#> 8 Y <NA> <NA> NIFTY S~ 8452. 8498. 8514. 8476.
#> 9 Y <NA> <NA> NIFTY M~ 9559. 9590. 9594 9547.
#> 10 Y <NA> <NA> NIFTY20~ 13433. 13466. 13500. 13439.
#> # ... with 2,116 more rows, and 8 more variables: CLOSE_PRICE <dbl>,
#> # NET_TRDVAL <dbl>, NET_TRDQTY <dbl>, IND_SEC <chr>, CORP_IND <chr>,
#> # TRADES <dbl>, HI_52_WK <dbl>, LO_52_WK <dbl>
#>
#> $`./Pr010721.csv`
#> # A tibble: 2,126 x 14
#> MKT SECURITY PREV_CL_PR OPEN_PRICE HIGH_PRICE LOW_PRICE CLOSE_PRICE
#> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 Y Nifty 50 15722. 15755. 15756. 15667. 15680
#> 2 Y NIFTY50~ 17666. 17699. 17714. 17642. 17660
#> 3 Y NIFTY10~ 18815. 18848. 18878. 18805. 18831.
#> 4 Y NIFTY10~ 12302. 12327. 12347. 12300. 12321.
#> 5 Y NIFTY A~ 27135 27160. 27177. 26965. 27096.
#> 6 Y NIFTY M~ 10182. 10205. 10206. 10147. 10160.
#> 7 Y NIFTY S~ 4891. 4914. 4941. 4896. 4925.
#> 8 Y NIFTY S~ 8452. 8498. 8514. 8476. 8502.
#> 9 Y NIFTY M~ 9559. 9590. 9594 9547. 9563.
#> 10 Y NIFTY20~ 13433. 13466. 13500. 13439. 13470.
#> # ... with 2,116 more rows, and 7 more variables: NET_TRDVAL <dbl>,
#> # NET_TRDQTY <dbl>, IND_SEC <chr>, CORP_IND <chr>, TRADES <dbl>,
#> # HI_52_WK <dbl>, LO_52_WK <dbl>
#>
#> $`./Tt010721.csv`
#> # A tibble: 25 x 5
#> SECURITY PREV_CL_PR CLOSE_PRIC NET_TRDQTY NET_TRDVAL
#> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 HAPPIEST MINDS TECHNO LTD 1004. 1137. 19353834 21059549350.
#> 2 INFO EDGE (I) LTD 4916. 5317. 3526542 18428419132.
#> 3 HDFC BANK LTD 1498. 1487. 8455721 12610824918.
#> 4 RELIANCE INDUSTRIES LTD 2111. 2098. 5784627 12201907893.
#> 5 TATA MOTORS LIMITED 340. 344. 27944816 9626455277.
#> 6 INFOSYS LIMITED 1581. 1560. 4814317 7537112361.
#> 7 STATE BANK OF INDIA 419. 420. 16161469 6803546371.
#> 8 BAJAJ FINANCE LIMITED 6016. 5967. 1120601 6705695095.
#> 9 ICICI BANK LTD. 631. 631. 10517081 6663442949.
#> 10 TATA STEEL LIMITED 1167. 1164. 5614928 6549650936.
#> # ... with 15 more rows