Text Extraction

Extract Web Page Text

This set of examples extracts the text for all the web pages in a collection, and writes the output to a specified directory. Note that this will create a new directory to store the output, which cannot already exist.

Scala RDD

import io.archivesunleashed._
import io.archivesunleashed.matchbox._

RecordLoader.loadArchives("/path/to/warcs", sc)
  .keepValidPages()
  .map(r => (r.getCrawlDate, r.getDomain, r.getUrl, RemoveHTML(RemoveHTTPHeader((r.getContentString))))
  .saveAsTextFile("plain-text-rdd/")

Scala DF

import io.archivesunleashed._
import io.archivesunleashed.udfs._

RecordLoader.loadArchives("/path/to/warcs", sc)
  .webpages()
  .select($"crawl_date", $"domain", $"url", $"content")
  .write
  .option("timestampFormat", "yyyy/MM/dd HH:mm:ss ZZ")
  .format("csv")
  .option("escape", "\"")
  .option("encoding", "utf-8")
  .save("plain-text-df/")

Python DF

from aut import *

WebArchive(sc, sqlContext, "/path/to/warcs") \
  .webpages() \
  .select("crawl_date", "domain", "url", "content") \
  .write \
  .option("timestampFormat", "yyyy/MM/dd HH:mm:ss ZZ") \
  .format("csv") \
  .option("escape", "\"") \
  .option("encoding", "utf-8") \
  .save("plain-text-df/")

Extract Web Page Text By Domain

This set of examples extracts the text for all the web pages in a collection matching a list of domains. Specifically in this example, it will go through a collection of W/ARCs and extract the text of web pages matching the domain archive.org.

Scala RDD

import io.archivesunleashed._
import io.archivesunleashed.matchbox._

RecordLoader.loadArchives("/path/to/warcs", sc)
  .keepValidPages()
  .keepDomains(Set("archive.org"))
  .map(r => (r.getCrawlDate, r.getDomain, r.getUrl, RemoveHTML(RemoveHTTPHeader(r.getContentString))))
  .saveAsTextFile("plain-text-domain-rdd/")

Scala DF

import io.archivesunleashed._
import io.archivesunleashed.udfs._

val domains = Array("archive.org", "geocities.org")

RecordLoader.loadArchives("/path/to/warcs", sc)
  .webpages()
  .select($"crawl_date", $"domain", $"url", $"content")
  .filter(hasDomains($"domain", lit(domains)))
  .write
  .option("timestampFormat", "yyyy/MM/dd HH:mm:ss ZZ")
  .format("csv")
  .option("escape", "\"")
  .option("encoding", "utf-8")
  .save("plain-text-domain-df/")

Python DF

from aut import *
from pyspark.sql.functions import col

domains = ["archive.org"]

WebArchive(sc, sqlContext, "/path/to/warcs") \
  .webpages() \
  .select("crawl_date", "domain", "url", "content") \
  .filter(col("domain").isin(domains)) \
  .write \
  .option("timestampFormat", "yyyy/MM/dd HH:mm:ss ZZ") \
  .format("csv") \
  .option("escape", "\"") \
  .option("encoding", "utf-8") \
  .save("plain-text-domain-df/")

Extract Web Page Text by URL Pattern

This set of examples extracts the text for all the web pages in a collection with a URL matching a regular expression pattern. Specifically in this example , it will go through a collection of W/ARCs and extract the text of web pages matching the URLs beginning with http://archive.org/details/.

(?i) makes the query case insensitive.

Scala RDD

import io.archivesunleashed._
import io.archivesunleashed.matchbox._

RecordLoader.loadArchives("/path/to/warcs", sc)
  .keepValidPages()
  .keepUrlPatterns(Set("(?i)http://www.archive.org/details/.*".r))
  .map(r => (r.getCrawlDate, r.getDomain, r.getUrl, RemoveHTML(RemoveHTTPHeader(r.getContentString))))
  .saveAsTextFile("details-rdd/")

Scala DF

import io.archivesunleashed._
import io.archivesunleashed.udfs._

val urlPattern = Array("(?i)http://www.archive.org/details/.*")

RecordLoader.loadArchives("/path/to/warcs", sc)
  .webpages()
  .select($"crawl_date", $"domain", $"url", $"content")
  .filter(hasUrlPatterns($"url", lit(urlPattern)))
  .write
  .option("timestampFormat", "yyyy/MM/dd HH:mm:ss ZZ")
  .format("csv")
  .option("escape", "\"")
  .option("encoding", "utf-8")
  .save("details-df/")

Python DF

from aut import *
from pyspark.sql.functions import col

url_pattern = "%http://www.archive.org/details/%"

WebArchive(sc, sqlContext, "/path/to/warcs") \
  .webpages() \
  .select("crawl_date", "domain", "url", "content") \
  .filter(col("url").like(url_pattern)) \
  .write \
  .option("timestampFormat", "yyyy/MM/dd HH:mm:ss ZZ") \
  .format("csv") \
  .option("escape", "\"") \
  .option("encoding", "utf-8") \
  .save("details-df/")

Extract Web Page Text Minus Boilerplate

This set of examples extracts the text for all the web pages in a collection minus "boilerplate" content: advertisements, navigational elements, and elements of the website template. Boilerplate requires HTML, so it needs to used with .all(), not .webpages(). For more information on the boilerplate removal library we are using, please see this website and paper.

Scala RDD

import io.archivesunleashed._
import io.archivesunleashed.matchbox._

RecordLoader.loadArchives("/path/to/warcs", sc)
  .keepValidPages()
  .keepDomains(Set("archive.org"))
  .map(r => (r.getCrawlDate, r.getDomain, r.getUrl, ExtractBoilerpipeText(RemoveHTTPHeader(r.getContentString))))
  .saveAsTextFile("plain-text-no-boilerplate-rdd/")

Scala DF

import io.archivesunleashed._
import io.archivesunleashed.udfs._

val domains = Array("archive.org")

RecordLoader.loadArchives("/path/to/warcs", sc)
  .all()
  .select($"crawl_date", $"domain", $"url", extractBoilerpipeText(removeHTTPHeader($"content")))
  .filter(hasDomains($"domain", lit(domains)))
  .write
  .option("timestampFormat", "yyyy/MM/dd HH:mm:ss ZZ")
  .format("csv")
  .option("escape", "\"")
  .option("encoding", "utf-8")
  .save("plain-text-no-boilerplate-df/")

Python DF

from aut import *

WebArchive(sc, sqlContext, "/path/to/warcs") \
  .webpages() \
  .select("crawl_date", "domain", "url", extract_boilerplate(remove_http_header("content")).alias("content")) \
  .write \
  .option("timestampFormat", "yyyy/MM/dd HH:mm:ss ZZ") \
  .format("csv") \
  .option("escape", "\"") \
  .option("encoding", "utf-8") \
  .save("plain-text-no-boilerplate-df/")

Extract Web Page Text Filtered by Date

This set of examples extracts the text for all the web pages in a collection filtered by a given crawl date or last modified date. AUT allows filtering records by a list of full or partial date strings. It conceives of the date string as a DateComponent. Use keepDate to specify the year (YYYY), month (MM), day (DD), year and month (YYYYMM), or a particular year-month-day (YYYYMMDD). Specifically in this example, it will go through a collection of W/ARCs and extract the text of web pages matching with a crawl_date of April 2008, or from the year 2008 or 2015.

Scala RDD

import io.archivesunleashed._
import io.archivesunleashed.matchbox._

RecordLoader.loadArchives("/path/to/warcs", sc)
  .keepValidPages()
  .keepDate(List("200804"), ExtractDate.DateComponent.YYYYMM)
  .map(r => (r.getCrawlDate, r.getDomain, r.getUrl, RemoveHTML(RemoveHTTPHeader(r.getContentString))))
  .saveAsTextFile("plain-text-date-filtered-200804/")

import io.archivesunleashed._
import io.archivesunleashed.matchbox._

RecordLoader.loadArchives("/path/to/warcs", sc)
  .keepValidPages()
  .keepDate(List("2008"), ExtractDate.DateComponent.YYYY)
  .map(r => (r.getCrawlDate, r.getDomain, r.getUrl, RemoveHTML(RemoveHTTPHeader(r.getContentString))))
  .saveAsTextFile("plain-text-date-filtered-2008/")

import io.archivesunleashed._
import io.archivesunleashed.matchbox._

RecordLoader.loadArchives("/path/to/warcs", sc)
  .keepValidPages()
  .keepDate(List("2008","2015"), ExtractDate.DateComponent.YYYY)
  .map(r => (r.getCrawlDate, r.getDomain, r.getUrl, RemoveHTML(RemoveHTTPHeader(r.getContentString))))
  .saveAsTextFile("plain-text-date-filtered-2008-2015-rdd/")

Scala DF

import io.archivesunleashed._
import io.archivesunleashed.udfs._

val dates = Array("2008", "2015")

RecordLoader.loadArchives("/path/to/warcs", sc)
  .webpages()
  .select($"crawl_date", $"domain", $"url", removeHTML(removeHTTPHeader($"content")))
  .filter(hasDate($"crawl_date", lit(dates)))
  .write
  .option("timestampFormat", "yyyy/MM/dd HH:mm:ss ZZ")
  .format("csv")
  .option("escape", "\"")
  .option("encoding", "utf-8")
  .save("plain-text-date-filtered-2008-2015-df/")

Python DF

from aut import *
from pyspark.sql.functions import col

dates = "2009[10][09]\d\d"

WebArchive(sc, sqlContext, "/path/to/warcs") \
  .webpages() \
  .select("crawl_date", "domain", "url", remove_html(remove_http_header("content"))) \
  .filter(col("crawl_date").rlike(dates)) \
  .write \
  .option("timestampFormat", "yyyy/MM/dd HH:mm:ss ZZ") \
  .format("csv") \
  .option("escape", "\"") \
  .option("encoding", "utf-8") \
  .save("plain-text-date-filtered-df/")

Extract Web Page Text Filtered by Language

This set of examples extracts the text for all the web pages in a collection with a given ISO 639.2 language code . Specifically in this example, it will go through a collection of W/ARCs and extract the text of web pages identified as being French, as well as matching the domain archive.org

Scala RDD

import io.archivesunleashed._
import io.archivesunleashed.matchbox._

RecordLoader.loadArchives("/path/to/warcs", sc)
  .keepValidPages()
  .keepDomains(Set("archive.org"))
  .keepLanguages(Set("fr"))
  .map(r => (r.getCrawlDate, r.getDomain, r.getUrl, RemoveHTML(RemoveHTTPHeader(r.getContentString))))
  .saveAsTextFile("plain-text-fr-rdd/")

Scala DF

import io.archivesunleashed._
import io.archivesunleashed.udfs._

val domains = Array("archive.org")
val languages = Array("fr")

RecordLoader.loadArchives("/path/to/warcs", sc)
  .webpages()
  .select($"crawl_date", $"domain", $"url", $"language", removeHTML(removeHTTPHeader($"content")))
  .filter(hasDomains($"domain", lit(domains)))
  .filter(hasLanguages($"language", lit(languages)))
  .write
  .option("timestampFormat", "yyyy/MM/dd HH:mm:ss ZZ")
  .format("csv")
  .option("escape", "\"")
  .option("encoding", "utf-8")
  .save("plain-text-fr-df/")

import io.archivesunleashed._
import io.archivesunleashed.udfs._

val domains = Array("archive.org")
val languages = Array("fr")

RecordLoader.loadArchives("/path/to/warcs", sc)
  .webpages()
  .filter(hasDomains($"domain", lit(domains)))
  .filter(hasLanguages($"language", lit(languages)))
  .select($"crawl_date", $"domain", $"url", $"language", removeHTML(removeHTTPHeader($"content")))
  .write
  .option("timestampFormat", "yyyy/MM/dd HH:mm:ss ZZ")
  .format("csv")
  .option("escape", "\"")
  .option("encoding", "utf-8")
  .save("plain-text-fr-df/")

Python DF

from aut import *
from pyspark.sql.functions import col

domains = ["geocities.com"]
languages = ["fr"]

WebArchive(sc, sqlContext, "/path/to/warcs") \
  .webpages() \
  .select("crawl_date", "domain", "url", remove_html(remove_http_header("content"))) \
  .filter(col("domain").isin(domains)) \
  .filter(col("language").isin(languages)) \
  .write \
  .option("timestampFormat", "yyyy/MM/dd HH:mm:ss ZZ") \
  .format("csv") \
  .option("escape", "\"") \
  .option("encoding", "utf-8") \
  .save("plain-text-fr-df/")

Extract Web Page Text Filtered by Keyword

This set of examples extracts the text for all the web pages in a collection with content matching a given string or list of string. Specifically in this example, it will go through a collection of W/ARCs and extract the text of web pages containing the string radio.

There is also discardContent which does the opposite, and can be used in cases where, for example, you have a frequent keyword you are not interested in.

Scala RDD

import io.archivesunleashed._
import io.archivesunleashed.matchbox._

RecordLoader.loadArchives("/path/to/warcs",sc)
  .keepValidPages()
  .keepContent(Set("radio".r))
  .map(r => (r.getCrawlDate, r.getDomain, r.getUrl, RemoveHTML(RemoveHTTPHeader(r.getContentString))))
  .saveAsTextFile("plain-text-radio-rdd/")

Scala DF

import io.archivesunleashed._
import io.archivesunleashed.udfs._

val content = Array("radio")

RecordLoader.loadArchives("/path/to/warcs", sc)
  .webpages()
  .select($"crawl_date", $"domain", $"url", removeHTML(removeHTTPHeader($"content")))
  .filter(hasContent($"content", lit(content)))
  .write
  .option("timestampFormat", "yyyy/MM/dd HH:mm:ss ZZ")
  .format("csv")
  .option("escape", "\"")
  .option("encoding", "utf-8")
  .save("plain-text-radio-df/")

Python DF

from aut import *
from pyspark.sql.functions import col

content = "%radio%"

WebArchive(sc, sqlContext, "/path/to/warcs") \
  .webpages() \
  .select("crawl_date", "domain", "url", remove_html(remove_http_header("content"))) \
  .filter(col("content").like(content)) \
  .write \
  .option("timestampFormat", "yyyy/MM/dd HH:mm:ss ZZ") \
  .format("csv") \
  .option("escape", "\"") \
  .option("encoding", "utf-8") \
  .save("plain-text-radio-df/")

Extract Raw HTML and Content of Web Pages

This set of examples extracts the HTML and text for all the web pages in a collection.

Scala RDD

import io.archivesunleashed._
import io.archivesunleashed.matchbox._

RecordLoader.loadArchives("/path/to/warcs", sc)
  .keepValidPages()
  .map(r => (r.getCrawlDate, r.getDomain, r.getUrl, RemoveHTTPHeader(r.getContentString)))
  .saveAsTextFile("plain-html-rdd/")

Scala DF

import io.archivesunleashed._
import io.archivesunleashed.udfs._

RecordLoader.loadArchives("example.warc.gz", sc)
  .all()
  .select($"crawl_date", extractDomain($"url"), $"url", removeHTTPHeader($"content"))
  .write
  .option("timestampFormat", "yyyy/MM/dd HH:mm:ss ZZ")
  .format("csv")
  .option("escape", "\"")
  .option("encoding", "utf-8")
  .save("plain-html-df/")

Python DF

from aut import *

WebArchive(sc, sqlContext, "/path/to/warcs") \
  .all() \
  .select("crawl_date", "domain", "url", remove_http_header("content")) \
  .write \
  .option("timestampFormat", "yyyy/MM/dd HH:mm:ss ZZ") \
  .format("csv") \
  .option("escape", "\"") \
  .option("encoding", "utf-8") \
  .save("plain-html-df/")