Google Keyword Data Scraper ( BULK )

Google Keyword Data Scraper ( BULK )

Scrap Keyword Metrics From Public SEO Tools Get search volumes Keyword Ranking Difficulty and more, Research Keywords in bulk , for more than 1000 keywords in seconds, Find best opportunity to rank higher.

SEO_TOOLSLEAD_GENERATIONAUTOMATIONApify

🌐 Google Keyword Data Scraper (BULK) 🚀

Google Keyword Data Scraper (BULK) is a powerful tool designed to extract SEO metrics for multiple keywords simultaneously. It provides valuable insights such as search volume, keyword difficulty, cost per click (CPC), and more, helping users with their keyword research and enhance their SEO strategies.

Key Features 🚀

  • 🔢 Bulk Keyword Processing
    Analyze up to 1,000 keywords per run, making large-scale keyword research more efficient.

  • 📊 Detailed Metrics
    Access essential data such as:

    • Search Volume (global & local)
    • Keyword Difficulty
    • CPC (Cost Per Click)
    • Organic & Paid Search Clicks and so much more ....
  • 🌍 Geo-Targeting
    Specify target countries and regions for precise, localized data.

  • 🌐 Language Support
    Accommodate multiple languages and character sets for diverse keyword sets.

  • 📥 Customizable Output
    Export data in various formats (CSV, JSON, XML) and tailor the output fields and structure to your needs.

  • 🔌 API Integration
    Seamlessly integrate with other tools and services using API endpoints.

  • 📅 Scheduling
    Set up recurring scraping tasks to stay updated with the latest keyword data and SERP changes.

  • 🖥️ User-Friendly Interface
    Use an intuitive interface for easy configuration and ongoing monitoring.

  • ⏱️ Real-Time Updates
    Access the latest keyword data and SERP changes instantly.

💰 Affordable & Efficient Solution 🚀

The Google Keyword Data Scraper (BULK) provides an affordable and efficient solution for in-depth keyword research. For just $5 per month, you can access its full range of features, including bulk keyword processing, detailed metrics, and customizable outputs. This subscription-based model ensures you get the most out of your investment, offering incredible value compared to other tools.

👉 Learn More at apify.com

💲 Pricing Details:

  • 💵 Subscription Fee: $5 per month
  • 🗓️ Payment Model: Monthly subscription

This pricing structure is notably more affordable compared to many other keyword research tools, which often charge higher fees or require long-term commitments. For instance, some competitors charge per search or provide limited data at a higher price.

Ahref ------------------> 129$ a month kwfinder ---------------> 30 $ a month

🛠️ How to Use the Google Keyword Data Scraper (BULK) 🚀

Follow these simple steps to get started with the Google Keyword Data Scraper (BULK) and unlock valuable keyword insights!


1. Access the Tool 🌐


2. Input Your Keywords 🔑

  • Prepare a list of up to 1,000 keywords you wish to analyze.
  • For best result your keyword should be 2 to 3 words
  • Enter your keywords into the input provided on the tool's interface.
  • Click Bulk Edit and paste your list or add them one by one.

3. Select the Country** 🌍

  • Before running the tool, make sure to specify the target country or region to get accurate, localized data. This ensures you’re analyzing keywords based on specific geographic areas.

4. Press "Run" and Wait for the Data

  • After entering your keywords, click the "Run" button.
  • Wait for the tool to process your keywords and gather the necessary data.

5. Export Data in Your Desired Format 📥

  • Once the data is ready, you can export it in various formats such as CSV, JSON, or XML.
  • Select your preferred format and download the data for further analysis.

Example Input

1{
2   "country":"US",
3   "keywords":[
4      "Web scraping",
5      "Python jobs",
6      "linkedin",
7      "python tutorials",
8      "Remote jobs "
9   ]
10}

Example Output

1[
2   {
3      "broadCtr":0.01,
4      "exactGlobalSearchVolume":49500,
5      "exactLocalSearchVolume":9900,
6      "liveSearchVolume":24400,
7      "hasImage":false,
8      "hasMap":false,
9      "hasNews":false,
10      "hasShopping":false,
11      "hasVideo":false,
12      "topLevel":null,
13      "secondLevel":null,
14      "thirdLevel":null,
15      "fourthLevel":null,
16      "fifthLevel":null,
17      "keyword":"web scraping",
18      "searchVolume":18300,
19      "rankingDifficulty":43,
20      "totalMonthlyClicks":10200,
21      "percentMobileSearches":20.54,
22      "percentDesktopSearches":79.46,
23      "percentSearchesNotClicked":44.25,
24      "percentPaidClicks":7.37,
25      "percentOrganicClicks":92.63,
26      "broadCostPerClick":2.28,
27      "phraseCostPerClick":3.67,
28      "exactCostPerClick":6.75,
29      "broadMonthlyClicks":70,
30      "phraseMonthlyClicks":41.7,
31      "exactMonthlyClicks":12,
32      "broadMonthlyCost":159.9,
33      "phraseMonthlyCost":153.3,
34      "exactMonthlyCost":86.1,
35      "paidCompetitors":0,
36      "rankingHomepages":21,
37      "serpFeaturesCsv":null,
38      "serpFirstResult":"imperva.com",
39      "isQuestion":false,
40      "isNotSafeForWork":false,
41      "adPosition":null,
42      "serpAdvertisers":[
43         
44      ]
45   },
46   {
47      "broadCtr":0.02,
48      "exactGlobalSearchVolume":22200,
49      "exactLocalSearchVolume":5400,
50      "liveSearchVolume":4700,
51      "hasImage":false,
52      "hasMap":false,
53      "hasNews":false,
54      "hasShopping":false,
55      "hasVideo":false,
56      "topLevel":null,
57      "secondLevel":null,
58      "thirdLevel":null,
59      "fourthLevel":null,
60      "fifthLevel":null,
61      "keyword":"python jobs",
62      "searchVolume":3600,
63      "rankingDifficulty":46,
64      "totalMonthlyClicks":2100,
65      "percentMobileSearches":29.3,
66      "percentDesktopSearches":70.7,
67      "percentSearchesNotClicked":42.07,
68      "percentPaidClicks":14.89,
69      "percentOrganicClicks":85.11,
70      "broadCostPerClick":4.92,
71      "phraseCostPerClick":5.28,
72      "exactCostPerClick":4.48,
73      "broadMonthlyClicks":290,
74      "phraseMonthlyClicks":106.5,
75      "exactMonthlyClicks":48,
76      "broadMonthlyCost":1428.6,
77      "phraseMonthlyCost":563.4,
78      "exactMonthlyCost":217.8,
79      "paidCompetitors":0,
80      "rankingHomepages":2,
81      "serpFeaturesCsv":null,
82      "serpFirstResult":"python.org",
83      "isQuestion":false,
84      "isNotSafeForWork":false,
85      "adPosition":null,
86      "serpAdvertisers":[
87         
88      ]
89   },
90   {
91      "broadCtr":0.03,
92      "exactGlobalSearchVolume":37200000,
93      "exactLocalSearchVolume":7480000,
94      "liveSearchVolume":10100000,
95      "hasImage":false,
96      "hasMap":false,
97      "hasNews":true,
98      "hasShopping":false,
99      "hasVideo":false,
100      "topLevel":null,
101      "secondLevel":null,
102      "thirdLevel":null,
103      "fourthLevel":null,
104      "fifthLevel":null,
105      "keyword":"linkedin",
106      "searchVolume":6460000,
107      "rankingDifficulty":13,
108      "totalMonthlyClicks":5940000,
109      "percentMobileSearches":19.42,
110      "percentDesktopSearches":80.58,
111      "percentSearchesNotClicked":8.07,
112      "percentPaidClicks":2.79,
113      "percentOrganicClicks":97.21,
114      "broadCostPerClick":1.08,
115      "phraseCostPerClick":1.15,
116      "exactCostPerClick":1.61,
117      "broadMonthlyClicks":30,
118      "phraseMonthlyClicks":3069.6,
119      "exactMonthlyClicks":3200,
120      "broadMonthlyCost":32.7,
121      "phraseMonthlyCost":3518.7,
122      "exactMonthlyCost":5176.5,
123      "paidCompetitors":1,
124      "rankingHomepages":3,
125      "serpFeaturesCsv":"News",
126      "serpFirstResult":"linkedin.com",
127      "isQuestion":false,
128      "isNotSafeForWork":false,
129      "adPosition":null,
130      "serpAdvertisers":[
131         
132      ]
133   },
134   {
135      "broadCtr":0.01,
136      "exactGlobalSearchVolume":301000,
137      "exactLocalSearchVolume":49500,
138      "liveSearchVolume":2900,
139      "hasImage":false,
140      "hasMap":false,
141      "hasNews":false,
142      "hasShopping":false,
143      "hasVideo":false,
144      "topLevel":null,
145      "secondLevel":null,
146      "thirdLevel":null,
147      "fourthLevel":null,
148      "fifthLevel":null,
149      "keyword":"python tutorials",
150      "searchVolume":2700,
151      "rankingDifficulty":40,
152      "totalMonthlyClicks":2100,
153      "percentMobileSearches":14.64,
154      "percentDesktopSearches":85.36,
155      "percentSearchesNotClicked":20.2,
156      "percentPaidClicks":2.32,
157      "percentOrganicClicks":97.68,
158      "broadCostPerClick":3.58,
159      "phraseCostPerClick":3.5,
160      "exactCostPerClick":3.53,
161      "broadMonthlyClicks":20,
162      "phraseMonthlyClicks":14.4,
163      "exactMonthlyClicks":16,
164      "broadMonthlyCost":72.6,
165      "phraseMonthlyCost":50.4,
166      "exactMonthlyCost":55.8,
167      "paidCompetitors":0,
168      "rankingHomepages":10,
169      "serpFeaturesCsv":null,
170      "serpFirstResult":"python.org",
171      "isQuestion":false,
172      "isNotSafeForWork":false,
173      "adPosition":null,
174      "serpAdvertisers":[
175         
176      ]
177   },
178   {
179      "broadCtr":0.03,
180      "exactGlobalSearchVolume":135000,
181      "exactLocalSearchVolume":90500,
182      "liveSearchVolume":319000,
183      "hasImage":false,
184      "hasMap":false,
185      "hasNews":true,
186      "hasShopping":false,
187      "hasVideo":false,
188      "topLevel":null,
189      "secondLevel":null,
190      "thirdLevel":null,
191      "fourthLevel":null,
192      "fifthLevel":null,
193      "keyword":"remote jobs",
194      "searchVolume":125000,
195      "rankingDifficulty":61,
196      "totalMonthlyClicks":98100,
197      "percentMobileSearches":39.47,
198      "percentDesktopSearches":60.53,
199      "percentSearchesNotClicked":32.16,
200      "percentPaidClicks":21.39,
201      "percentOrganicClicks":78.61,
202      "broadCostPerClick":0.43,
203      "phraseCostPerClick":0.41,
204      "exactCostPerClick":0.37,
205      "broadMonthlyClicks":1100,
206      "phraseMonthlyClicks":409.2,
207      "exactMonthlyClicks":420,
208      "broadMonthlyCost":487.5,
209      "phraseMonthlyCost":167.4,
210      "exactMonthlyCost":159.9,
211      "paidCompetitors":6,
212      "rankingHomepages":15,
213      "serpFeaturesCsv":"News",
214      "serpFirstResult":"remote.com",
215      "isQuestion":false,
216      "isNotSafeForWork":false,
217      "adPosition":null,
218      "serpAdvertisers":[
219         
220      ]
221   }
222]

More About Keyword Research

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!