如何遍历指定链接中的PDF文件数组并批量提取文本
Alright, let's walk through how to batch download and extract text from those SUGI 30 PDFs starting from Paper 085-30. Here's a step-by-step solution using R:
Batch PDF Download & Text Extraction
Step 1: Set up required packages
We'll use pdftools for PDF text extraction, and rvest to scrape the target table of contents page for PDF links.
# Install packages if they're not already on your system if (!require("pdftools")) install.packages("pdftools") if (!require("rvest")) install.packages("rvest") # Load the packages library(pdftools) library(rvest)
Step 2: Scrape the TOC page to get target PDF links
First, we'll pull the HTML content from the TOC page, extract all PDF links, then filter to keep only those starting from Paper 085-30.
# URL of the TOC page toc_url <- "http://www2.sas.com/proceedings/sugi30/toc.html#dp" # Read the page content toc_page <- read_html(toc_url) # Extract all paper entries to find our starting point paper_entries <- toc_page %>% html_elements("tr") %>% # Papers are organized in table rows on this page html_text2() %>% str_trim() # Extract all PDF links and convert relative paths to full URLs pdf_links <- toc_page %>% html_elements("a[href$='.pdf']") %>% html_attr("href") %>% paste0("http://www2.sas.com", .) # Find the index where Paper 085-30 starts start_index <- which(grepl("Paper 085-30:", paper_entries)) # Filter links to keep only from our starting paper onward target_pdf_links <- pdf_links[start_index:length(pdf_links)]
Step 3: Batch process PDFs (download + extract text)
We'll loop through each target link, download the PDF, extract its text, and optionally save both the PDF and text files for later use.
# Create a folder to store PDFs and extracted text (keeps things organized) if (!dir.exists("sugi30_pdfs")) dir.create("sugi30_pdfs") # A list to store all extracted text (easy to access later) all_extracted_text <- list() # Loop through each link for (link_num in seq_along(target_pdf_links)) { current_link <- target_pdf_links[link_num] pdf_filename <- gsub(".*/", "", current_link) # Grab just the filename from the URL # Download the PDF (mode="wb" is critical for binary files like PDFs) download.file(current_link, paste0("sugi30_pdfs/", pdf_filename), mode = "wb", quiet = TRUE) # Extract text from the downloaded PDF pdf_text_content <- pdf_text(paste0("sugi30_pdfs/", pdf_filename)) # Store the text in our list (using the PDF filename as the list item name) all_extracted_text[[pdf_filename]] <- pdf_text_content # Optional: Save the extracted text to a .txt file writeLines(pdf_text_content, paste0("sugi30_pdfs/", gsub(".pdf", ".txt", pdf_filename))) # Print progress so you know what's happening cat(paste("Finished processing:", pdf_filename, "\n")) } # Access extracted text example: all_extracted_text[["085-30.pdf"]]
Quick Notes
- Double-check the website's terms of service to ensure you have permission to scrape and download these PDFs.
- If the page structure ever changes, you might need to adjust the CSS selector (like
"tr")—use your browser's inspect tool to find the right elements containing paper entries. - Remove
quiet = TRUEfromdownload.file()if you want to see detailed download progress for each file.
内容的提问来源于stack exchange,提问作者ASH
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