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3 simple steps to get you started

Step 1. Watching this 55 seconds tutorial

Step 2. Get

Your Chrome Extension

Start your 55 seconds tutorial.

Step 3. Get data in a few clicks

Get data from any page you want to get data from.

Need more help?

Need to talk to someone? Contact us—we’d love to help.

3 simple steps to get you started

Step 1. Watching this 55 seconds tutorial

Step 2. Get

Your Chrome Extension

Start your 55 seconds tutorial.

Step 3. Get data in a few clicks

Get data from any page you want to get data from.

Need more help?

Need to talk to someone? Contact us—we’d love to help.

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Seems like this data source was never ran before...

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Changes are only available only when you have ran at least a second time.

Earth calling Mars...?

Nope... guess no Martians around... Maybe set the webhook URL before pressing this button again...

Server response
    

imdb.com
Stream IMDb Top 250 Movies on Prime Video - IMDb

By
Utkarsh Dwivedi
1
Use for Free
  • Data Set Preview
  • Settings
  • Recipe
  • Collaborators
  • Sample Code
Harvested on
23
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CSV JSON HTML Changes
Movie NametitleeylDurationGenresGenreRuntimeTitleYearcertificateruntimeColumn 1origin_patternorigin_urlcreatedAtupdatedAtpingedAt
A Beautiful Mind(2001)135 minBiography, DramaPG-13135 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
Chinatown(1974)130 minDrama, Mystery, ThrillerR130 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
Django Unchained(2012)165 minDrama, WesternR165 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
Export Fight Club(1999)139 minDramaR139 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
Report this list Forrest Gump(1994)142 minDrama, RomancePG-13142 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
Gandhi(1982)191 minBiography, DramaPG191 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
Groundhog Day(1993)101 minComedy, Drama, FantasyPG101 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
Harry Potter and the Deathly Hallows: Part 2(2011)130 minAdventure, Fantasy, MysteryPG-13130 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
Heat(1995)170 minAction, Crime, DramaR170 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
Indiana Jones and the Last Crusade(1989)127 minAction, AdventurePG-13127 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
Into the Wild(2007)148 minAdventure, Biography, DramaR148 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
It's a Wonderful Life(1946)130 minDrama, Family, FantasyPG130 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
L.A. Confidential(1997)138 minCrime, Drama, MysteryR138 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
Lock, Stock and Two Smoking Barrels(1998)107 minAction, Comedy, CrimeR107 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
No Country for Old Men(2007)122 minCrime, Drama, ThrillerR122 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
Once Upon a Time in America(1984)229 minCrime, DramaR229 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
Saving Private Ryan(1998)169 minDrama, WarR169 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
Snatch(2000)102 minComedy, CrimeR102 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
Spotlight(I) (2015)129 minBiography, Crime, DramaR129 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
Taxi Driver(1976)114 minCrime, DramaR114 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
Copy from this list The Godfather(1972)175 minCrime, DramaDrama175 minThe Godfather(1972)R175 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
The Prestige(2006)130 minDrama, Mystery, Sci-FiPG-13130 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
The Usual Suspects(1995)106 minCrime, Drama, MysteryR106 minhttps://www.imdb.com/list/ls021425662/https://www.imdb.com/list/ls021425662/2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC2022-07-05 08:12:59 UTC
Data source unique ID
n108801_b26cac1803ef59610600abfffb731151eses
Privacy
Public
Last ran status
COMPLETED
Last ran
2022-07-05 08:12:59 UTC
Crawl Frequency
Not scheduled
Urls to Monitor
Use default URL in recipe

Sample code snippets to quickly import data set into your application

For more information on how to automatically trigger an import please reference our WebHook API guide


Integrating with Java

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.URL;
import java.net.URLConnection;
import java.util.Arrays;

public class HelloWorld {
  public static void main(String[] args) {

    try {
      URL urlCSV = new URL(
        "https://cache.getdata.io/n108801_b26cac1803ef59610600abfffb731151eses/latest_all.csv"
      );

      URLConnection urlConn = urlCSV.openConnection();
      InputStreamReader inputCSV = new InputStreamReader(
        ((URLConnection) urlConn).getInputStream()
      );
      BufferedReader br = new BufferedReader(inputCSV);

      String line;
      String[] fields;
      while ((line = br.readLine()) != null) {
        // Each row
        fields = line.split(",");
        System.out.println(Arrays.toString(fields));

      }
      // clean up buffered reader
      br.close();


    } catch (Exception e) {
      System.out.println(e.getMessage());
    }
  }   
}


Integrating with NodeJs

const csv     = require('csv-parser');
const https   = require('https');
const fs      = require('fs');

const file = fs.createWriteStream("temp_download.csv");
const request = https.get(
  "https://cache.getdata.io/n108801_b26cac1803ef59610600abfffb731151eses/latest_all.csv", 
  function(response) {
    response.pipe(file);
  }
);

file.on('finish', function() {
  file.close();
  fs.createReadStream('temp_download.csv').pipe(csv()).on('data', (row) => {
    // Each row
    console.log(row);

  }).on('end', () => {
    console.log('CSV file successfully processed');

  });
});



Integrating with PHP

$data = file_get_contents("https://cache.getdata.io/n108801_b26cac1803ef59610600abfffb731151eses/latest_all.csv");
$rows = explode("\n",$data);
$s = array();
foreach($rows as $row) {

  # Each row
  var_dump( $row);
  
}


Integrating with Python

import csv
import urllib2

url = 'https://cache.getdata.io/n108801_b26cac1803ef59610600abfffb731151eses/latest_all.csv'
response = urllib2.urlopen(url)
cr = csv.reader(response)

for row in cr:
  # Each row
  print row


Integrating with Ruby

require 'open-uri'
require 'tempfile'
require 'csv'

temp_file = Tempfile.new( "getdata", :encoding => 'ascii-8bit')
temp_file << open("https://cache.getdata.io/n108801_b26cac1803ef59610600abfffb731151eses/latest_all.csv").read
temp_file.rewind

CSV.foreach( open(uri), :headers => :first_row ).each do |row|      
  # Each row
  puts row
end

Utkarsh Dwivedi owner

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