π Analyze search volume, cost, and competitiveness of keywords to optimize your SEO and advertising strategies. Get comprehensive insights into keyword metrics, competition levels, and market opportunities with advanced analytics and detailed reporting.
Extract valuable keyword insights to power your SEO and digital marketing strategies! This powerful actor analyzes search keywords and provides comprehensive data including:
Perfect for digital marketers, SEO specialists, content creators, and businesses looking to optimize their online presence and advertising strategies.
A full explanation of an input example in JSON.
1{ 2 "keyword": "small business accountant" 3}
The results will be wrapped into a dataset which you can always find in theΒ StorageΒ tab. Here's an excerpt from the data you'd get if you apply the input parameters above:
And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.
1[ 2 { 3 "keyword": "small business accountant", 4 "result": [ 5 { 6 "format": "html", 7 "heading": "Keyword Analysis and Research", 8 "response": "\n<div style=\"font-family: Arial, sans-serif; max-width: 800px; margin: 20px;\">\n<h3>Top Insights from Keyword Research:</h3>\n\n<ul>\n <li><strong>High Commercial Intent Terms</strong>\n <br>Keywords like \"accounting software\" ($17.22 CPC) and \"bookkeeping software\" ($12.72 CPC) show strong commercial intent with high CPCs, indicating good conversion potential.\n </li>\n\n <li><strong>Search Volume Leaders</strong>\n <br>\"Accountant\" (74,000 monthly searches) and \"bench\" (60,500 monthly searches) are the highest volume terms, suggesting these are primary entry points for users.\n </li>\n\n <li><strong>Low Competition Opportunities</strong>\n <br>Terms like \"bookkeeping services\" (8,100 searches, 0.19 competition) and \"accounting services\" (4,400 searches, 0.21 competition) offer good opportunities with decent search volume and lower competition.\n </li>\n\n <li><strong>Growing Trend</strong>\n <br>Online/cloud-based accounting terms show increasing trends, with \"online accounting software\" having a high CPC ($27.93) indicating strong commercial value in this segment.\n </li>\n</ul>\n</div>\n<hr>\n<b>Related Keyword Data</b>\n<table style=\"border-collapse: collapse; width: 100%;\">\n <tr style=\"background-color: #f2f2f2;\">\n <th style=\"padding: 8px; text-align: left; border: 1px solid #ddd;\">Keyword</th>\n <th style=\"padding: 8px; text-align: right; border: 1px solid #ddd;\">Number of Results</th>\n <th style=\"padding: 8px; text-align: right; border: 1px solid #ddd;\">CPC</th>\n <th style=\"padding: 8px; text-align: right; border: 1px solid #ddd;\">Competition</th>\n <th style=\"padding: 8px; text-align: right; border: 1px solid #ddd;\">Search Volume</th>\n <th style=\"padding: 8px; text-align: right; border: 1px solid #ddd;\">Related Relevance</th>\n </tr>\n <tr>\n <td style=\"padding: 8px; border: 1px solid #ddd;\">accountant</td>\n <td style=\"padding: 8px; text-align: right; border: 1px solid #ddd;\">1,020,000,000</td>\n <td style=\"padding: 8px; text-align: right; border: 1px solid #ddd;\">$8.16</td>\n <td style=\"padding: 8px; text-align: right; border: 1px solid #ddd;\">0.13</td>\n <td style=\"padding: 8px; text-align: right; border: 1px solid #ddd;\">74,000</td>\n <td style=\"padding: 8px; text-align: right; border: 1px solid #ddd;\">0.05</td>\n </tr>\n <tr style=\"background-color: #f2f2f2;\">\n <td style=\"padding: 8px; border: 1px solid #ddd;\">bench</td>\n <td style=\"padding: 8px; text-align: right; border: 1px solid #ddd;\">1,930,000,000</td>\n <td style=\"padding: 8px; text-align: right; border: 1px solid #ddd;\">$0.91</td>\n <td style=\"padding: 8px; text-align: right; border: 1px solid #ddd;\">1.00</td>\n <td style=\"padding: 8px; text-align: right; border: 1px solid #ddd;\">60,500</td>\n <td style=\"padding: 8px; text-align: right; border: 1px solid #ddd;\">0.05</td>\n </tr>\n <!-- Continue pattern for remaining rows -->\n</table>" 9 } 10 ] 11 } 12]
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.
No. This is a no-code tool β just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. Youβll be guided to input a search term and get structured results. No setup needed!