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Octoparse templates cover common data needs across ecommerce, sales, marketing, real estate, recruitment, and travel. They collect data such as product prices, business contacts, social media posts, property listings, and job openings without requiring you to build a scraping task yourself. The examples below show what you can collect and how the data can support your work. Each template name links to its instructions where available; the full selection is in the Template Gallery.

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Ecommerce and product research

Product data helps you compare competing offers, research a product category, and track changes in prices and customer ratings. The Amazon Product Scraper (for US) collects product details from Amazon’s US site. Product names, prices, ratings, and identifiers provide a basis for comparing products in a spreadsheet or reporting tool.

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Lead generation and local business research

Business listings help sales teams find potential customers by business type and location. They also support local market research, such as identifying restaurants, retailers, or service providers in a city.

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Social media research

Social media templates collect posts and engagement data for researching topics, following brand discussions, and reviewing account activity. Two representative templates in the Template Gallery are:
  • Twitter Advanced Search Scraper, which collects posts from Twitter/X searches, along with likes, reposts, replies, and media.
  • Twitter Scraper (by Account URL), which collects posts from a specified account, including post text, timestamps, and engagement counts.
These templates serve different needs: one finds conversations around a topic, while the other collects content published by a particular account.

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Customer reviews and feedback

Review data helps you understand what customers like, identify recurring complaints, and compare feedback about your business and competitors. The Google Maps Reviews Scraper Lite accepts place URLs and collects review text, ratings, dates, reviewer names, and business replies. The results can be grouped by location or analyzed for common themes.

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Real estate

Property listings provide data for comparing asking prices, researching neighborhoods, and studying the types of properties on the market. The Zillow Listing Scraper (by URL) collects listing information such as price, address, bedrooms, bathrooms, square footage, property status, and listing URLs.

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Jobs and recruitment

Job listings help recruiters and researchers understand which roles companies are hiring for, where those jobs are located, and what salaries are advertised. The Indeed Job Listing Scraper takes job search results URLs and collects job titles, company names, locations, salary information, posting dates, and links to job descriptions.

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Travel and hospitality

Accommodation listings support hotel price comparisons and research into destinations and competing properties. The Booking.com Hotel Listing Scraper collects hotel names, locations, prices, review scores, review counts, and listing links from search results. These fields let you compare properties for the destination and travel dates in your search.

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News and media research

News templates help you gather coverage of a company, industry, or topic in one dataset instead of reviewing articles individually. The Google News Scraper searches by keyword and collects article titles, sources, publication dates, article URLs, and news text.

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More templates

The Template Gallery also includes categories for search engines, directories, finance, education, and sports. Categories group templates by the kind of data or business need they address, so a template may appear in more than one category. For help choosing between templates, see Find and evaluate a template. If your data need is not covered, you can submit a template development request. Template examples reviewed on September 20, 2026. The linked template pages provide current inputs, output fields, access levels, and pricing.