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u/No-Bison1422

r/AiAutomations r/scrapingtheweb r/AusProperty r/apify r/AusPropertyCheck
Free Domain.com.au scraper that gets past the 1,000-result limit (~99% on a nationwide test)
▲ 50 r/AusPropertyCheck+3 crossposts

Free Domain.com.au scraper that gets past the 1,000-result limit (~99% on a nationwide test)

I build web scrapers and put this one out free on Apify. It pulls Domain.com.au property listings into a downloadable dataset paste any search URL (sale or rent, any filters) and get price, address, beds/baths/parking, photos, and optionally agent contacts, nearby schools, and market insights.

The part I’m happy with: it gets past the 1,000-results-per-search limit most tools hit. A recent nationwide search returned 5,576 of 5,578 listings (~99%) in about 14 minutes, deduplicated.

Free to use right now. If you want a field added or something breaks, tell me I’m actively improving it. [https://apify.com/dz\_omar/domain-scraper?fpr=smcx63\]

u/No-Bison1422 — 18 days ago
▲ 1 r/apify

FREE DoorDash Review Scraper

Hey everyone, I just published a new scraper actor that pulls customer reviews from any DoorDash store page.

What you get per review:

  • Full review text + star rating
  • Reviewer name, contributor tier (Local Expert, etc.), profile URI
  • Every item ordered name, price, image URL, upvote/downvote
  • Photos attached to the review + which item they tagged
  • Order UUID, moderation status, timestamps

Use cases I had in mind:

  • Sentiment analysis on restaurant reviews
  • Tracking which menu items get mentioned most
  • Competitive research across chains or local markets
  • Building datasets for NLP/ML projects

It outputs clean JSON. You can also export to CSV or Excel directly from Apify.

No API key needed just paste a store URL like https://www.doordash.com/store/mcdonalds-20919 and set how many reviews you want.

🔗 apify.com/dz_omar/doordash-review-scraper?fpr=smcx63

Happy to answer questions about how it works or what the data looks like. Feedback welcome.

reddit.com
u/No-Bison1422 — 1 month ago
▲ 3 r/apify+1 crossposts

Free domain.com.au scraper filter-accurate, clean field mapping, no cost

Hey everyone, I built and published a scraper for domain.com.au (Australia’s biggest property platform) on Apify. Wanted to share it here because I think it solves a few pain points I personally had with other scrapers.

Why I think it’s better:

  • Filter accuracy : you copy any search URL from domain.com.au (with whatever filters you’ve set: price, bedrooms, property type, region, sort order, etc.) and paste it as input. The scraper returns exactly those results. No drift, no extras, no missing items.
  • Clean data mapping : fields are clearly named (bedroom_count, price, geo_location, market_insights.price_series…). The Apify table view also lets you visually browse results by category (Overview, Agent Contacts, Market Insights) without touching JSON.
  • It’s free
  • Rich data : agent contacts, nearby schools, 5-year price trends, recent sales, inspection schedules, hi-res images, floor plans.

Input is just a JSON with your URL(s) and an optional result limit. Works for buy, rent, and new developments.

🔗 https://apify.com/dz_omar/domain-scraper?fpr=smcx63

https://preview.redd.it/mkeien777s1h1.png?width=1472&format=png&auto=webp&s=f7af642aee1351ee7a77b3559089cf6caa328124

reddit.com
u/No-Bison1422 — 2 months ago
▲ 2 r/apify+1 crossposts

LinkedIn Ad Library scraper Support URL and filter inputs

Two ways to use it:

  1. Paste a LinkedIn Ad Library URL directly
  2. Use filters (keyword, company, payer, date range, impressions, targeting)

It supports bulk scraping via what I call ZIP job logic you can scrape multiple companies in parallel by pairing keyword + company + payer arrays by index.

🎬 Full tutorial video: https://youtu.be/q5PGi7bmdXw

🔗 Try it free: https://apify.com/dz_omar/linkedin-ads-scraper?fpr=smcx63

u/No-Bison1422 — 2 months ago
▲ 1 r/apify

Hey everyone,

I’ve been working on a Realtor.com scraper and decided to make it free to use.

The main thing I focused on is accuracy. A lot of scrapers work fine with simple searches, but once you start stacking filters (price, beds, keywords, etc.), the results can drift from what you actually see on the site.

I spent quite a bit of time testing different combinations, and it’s consistently hitting around ~90% accuracy compared to the live results.

Of course, scraping isn’t perfect so if you ever notice anything off, feel free to reach out. I’m actively maintaining it and usually fix issues pretty quickly.

Would really appreciate any feedback from people working with real estate data or scraping.

https://apify.com/dz_omar/realtor-scraper?fpr=smcx63

u/No-Bison1422 — 2 months ago