<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:blogger='http://schemas.google.com/blogger/2008' xmlns:georss='http://www.georss.org/georss' xmlns:gd="http://schemas.google.com/g/2005" xmlns:thr='http://purl.org/syndication/thread/1.0'><id>tag:blogger.com,1999:blog-7375955862514838195</id><updated>2026-05-10T05:04:06.434-07:00</updated><title type='text'>Simha Blog</title><subtitle type='html'></subtitle><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='https://contestfreaky.blogspot.com/feeds/posts/default'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7375955862514838195/posts/default'/><link rel='alternate' type='text/html' href='https://contestfreaky.blogspot.com/'/><link rel='hub' href='http://pubsubhubbub.appspot.com/'/><author><name>Simha</name><uri>http://www.blogger.com/profile/14686194173775562475</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjR1Vn0o4w6DTyVMWx8XWsbJa3zVVP0eJhQNatkY4XwcmYYekJZPNUfLrDYByYlDrJqrnO7HgjT5Oz5BsIveWgXiuqBb5_Exh6rtAm9H54yXS9WWNqJYKzrLRabCWsimUQ/s113/DSC_0054.JPG'/></author><generator version='7.00' uri='http://www.blogger.com'>Blogger</generator><openSearch:totalResults>3</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage><entry><id>tag:blogger.com,1999:blog-7375955862514838195.post-7476809885575494444</id><published>2026-05-10T05:04:00.000-07:00</published><updated>2026-05-10T05:04:06.334-07:00</updated><title type='text'>Google Maps Scraping Without the Places API: Get Business Data at Scale for Free</title><content type='html'>The Google Places API is powerful, but expensive. At $17 per 1,000 requests, costs add up fast when you need data on hundreds or thousands of businesses. For most marketing teams and researchers, there&#39;s a much better option.

The Apify Google Maps Scraper extracts the same data — without the per-request API charges.

What Data Can You Extract?

Using this tool, you can collect:

- Business name, category, and description
- Full address and geographic coordinates
- Phone number and website URL
- Star rating and total number of reviews
- Business hours
- Photos
- Customer reviews

All exported as clean JSON or CSV.

Top Use Cases

B2B Lead Generation: Build prospect lists of businesses in any city, industry, or locality. Get phone numbers and websites directly from Maps.

Local Market Research: Understand business density, competitor presence, and market gaps across different geographic areas.

Local SEO Agencies: Audit client profiles and benchmark against competitors on rating, review count, and listing completeness.

Data Journalism: Map business activity in neighborhoods, track new openings, or analyze industry concentration.

Franchise Site Selection: Identify competitor concentration and underserved markets before deciding where to open new locations.

Why Not Just Use the Places API?

The Google Places API charges separately for each type of data you request — basic info, contact details, reviews, and photos each cost extra. For bulk use cases, costs become prohibitive quickly.

The Apify scraper handles all of this in a single run at a flat cost, making it significantly more economical for any project requiring more than a few hundred records.

Get Started Free

Visit: https://apify.com/scrapers/google-maps

The free plan includes enough monthly credits to run tests and validate your use case before scaling. No coding required — just configure your search terms and location, and download your data.</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7375955862514838195/posts/default/7476809885575494444'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7375955862514838195/posts/default/7476809885575494444'/><link rel='alternate' type='text/html' href='https://contestfreaky.blogspot.com/2026/05/google-maps-scraping-without-places-api.html' title='Google Maps Scraping Without the Places API: Get Business Data at Scale for Free'/><author><name>Simha</name><uri>http://www.blogger.com/profile/14686194173775562475</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjR1Vn0o4w6DTyVMWx8XWsbJa3zVVP0eJhQNatkY4XwcmYYekJZPNUfLrDYByYlDrJqrnO7HgjT5Oz5BsIveWgXiuqBb5_Exh6rtAm9H54yXS9WWNqJYKzrLRabCWsimUQ/s113/DSC_0054.JPG'/></author></entry><entry><id>tag:blogger.com,1999:blog-7375955862514838195.post-2001330352309898579</id><published>2026-05-10T05:03:00.000-07:00</published><updated>2026-05-10T05:03:20.664-07:00</updated><title type='text'>How to Collect Google Reviews at Scale — The No-Code Solution</title><content type='html'>Google Reviews are one of the most valuable data sources for brand research, competitive analysis, and customer sentiment tracking. But manually reading and exporting reviews? That&#39;s an incredibly slow process when you&#39;re dealing with multiple businesses.

The Apify Google Maps Reviews Scraper solves this completely.

What You Can Collect

For any Google Maps listing, you can extract:

- Reviewer name and profile link
- Star rating (1-5)
- Review text (full, not truncated)
- Date of review
- Owner response (if any)
- Business name and location

All results are exported in clean CSV or JSON format.

Powerful Use Cases

Reputation Management: Monitor what customers are saying about your brand across all locations. Set up regular scraping runs to track sentiment trends over time.

Competitive Intelligence: Compare your ratings and review volume against competitors in any city or category.

SEO &amp; Local Marketing: Understand what customers value most (mentioned features, keywords) to improve your listings and content.

Product Research: Scrape reviews for any product category to identify common complaints, praise points, and gaps in the market.

Employee Training: Use real customer feedback to train frontline teams on what delights or frustrates customers.

Getting Started

Step 1: Visit https://apify.com/compass/google-maps-reviews-scraper
Step 2: Create a free Apify account
Step 3: Enter the Google Maps URL of the business you want to scrape
Step 4: Set the number of reviews to collect
Step 5: Run the scraper and download your data

The free plan gives you enough credits to test with real data. Paid plans support large-scale collection across hundreds of locations.

Final Thoughts

For anyone working in marketing, research, or customer experience, having access to bulk Google Reviews data changes the game. Skip the manual effort and let this tool do the heavy lifting.

Try it now: https://apify.com/compass/google-maps-reviews-scraper</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7375955862514838195/posts/default/2001330352309898579'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7375955862514838195/posts/default/2001330352309898579'/><link rel='alternate' type='text/html' href='https://contestfreaky.blogspot.com/2026/05/how-to-collect-google-reviews-at-scale.html' title='How to Collect Google Reviews at Scale — The No-Code Solution'/><author><name>Simha</name><uri>http://www.blogger.com/profile/14686194173775562475</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjR1Vn0o4w6DTyVMWx8XWsbJa3zVVP0eJhQNatkY4XwcmYYekJZPNUfLrDYByYlDrJqrnO7HgjT5Oz5BsIveWgXiuqBb5_Exh6rtAm9H54yXS9WWNqJYKzrLRabCWsimUQ/s113/DSC_0054.JPG'/></author></entry><entry><id>tag:blogger.com,1999:blog-7375955862514838195.post-7253317534705459842</id><published>2026-05-10T05:02:00.000-07:00</published><updated>2026-05-10T05:02:34.742-07:00</updated><title type='text'>How to Extract Indian Real Estate Data from 99acres Without Writing a Single Line of Code</title><content type='html'>If you&#39;re working in real estate market research, lead generation, or competitive analysis in India, manually collecting data from 99acres is a productivity killer. Scrolling through pages of listings, copy-pasting addresses and prices — it simply doesn&#39;t scale.

Here&#39;s a better approach: the Apify 99acres Scraper automates all of that.

What Data Can You Extract?

With a single run, you can extract:

- Property name and type (apartment, villa, plot, etc.)
- Location (city, locality, exact address)
- Price and price per sq. ft.
- Builder/developer name
- Property size and BHK configuration
- Contact information
- Listing URLs

All data is exported in clean JSON or CSV format — ready to import into Excel, Google Sheets, BigQuery, or any CRM.

Who Uses This Tool?

Real Estate Analysts: Track price trends across localities over time. Build competitive market reports without hours of manual data collection.

Marketing &amp; Lead Gen Teams: Build targeted outreach lists of builders and developers for marketing campaigns.

Proptech Startups: Power your property comparison apps or dashboards with fresh, bulk data from 99acres.

Researchers &amp; Consultants: Compare inventory levels, pricing, and availability across multiple Indian cities in one export.

How to Get Started

1. Visit https://apify.com/canadesk/99acres-scraper
2. Sign up for a free Apify account
3. Set your search inputs (city, property type, price range)
4. Run the scraper and download your data

The free tier provides enough monthly credits to test your use case. Upgrade for production-scale data collection.

Conclusion

If real estate data is part of your workflow, this tool will save you hours every week. No code, no complex setup — just set your parameters and get clean, structured data.

Try it free: https://apify.com/canadesk/99acres-scraper</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7375955862514838195/posts/default/7253317534705459842'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7375955862514838195/posts/default/7253317534705459842'/><link rel='alternate' type='text/html' href='https://contestfreaky.blogspot.com/2026/05/how-to-extract-indian-real-estate-data.html' title='How to Extract Indian Real Estate Data from 99acres Without Writing a Single Line of Code'/><author><name>Simha</name><uri>http://www.blogger.com/profile/14686194173775562475</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjR1Vn0o4w6DTyVMWx8XWsbJa3zVVP0eJhQNatkY4XwcmYYekJZPNUfLrDYByYlDrJqrnO7HgjT5Oz5BsIveWgXiuqBb5_Exh6rtAm9H54yXS9WWNqJYKzrLRabCWsimUQ/s113/DSC_0054.JPG'/></author></entry></feed>