Product Updates — January 2026

Sasha Bouloudnine
2 Feb 2026

6 min read

Big month. Like, really big. 💥

We made a tough call on pricing—simplifying down to 3 plans and adjusting entry-level costs to keep things sustainable.

Then we went hard on shipping. 5 new scrapers launched in one month—TripAdvisor reviews, Instagram profiles and posts, TikTok comments, and LinkedIn post engagement data with verified emails.

Update #1 – Pricing adjustment and simplification 💰

We've been experimenting with pricing all year to find the right balance between value and sustainability. This is where we landed.

After a year of testing different pricing structures, tracking usage patterns, and optimizing how credits are consumed, we've finally simplified our pricing down to 3 core plans:

Update #1 – Pricing adjustment and simplification 💰

New pricing structure:

  1. Starter – $20/month ($2/1k results)
  2. Growth – $100/month ($1/1k results)
  3. Scale – $500/month ($0.5/1k results)

What changed

We started with execution-hours billing (like Phantombuster lol 🚮)—which meant you paid for time, not actual data. Frustrating for everyone.

Then we tried credit-based pricing with 7 tiers. It was a pilot, meant for testing. Better, yes—but still too many options. Choosing a plan shouldn't feel like solving a puzzle.

So now we've finally landed on 3 solid plans. Clean, simple, and built around what most users actually need. Finally!

We've also adjusted entry-level pricing to $2 per 1,000 results. Not an easy call, but a necessary one to keep things sustainable.

__Update #1 – Pricing adjustment and simplification 💰__ - What changed image2

But… You're only billed for unique and accurate data now.

No more duplicate or out-of-scope results eating your credits.

Duplicates and out-of-scope results never make it to your exported dataset—they're filtered out at the time of scraping. Zero credit wastage.

And we adjusted credits-per-result where our pricing was running a little expensive compared to competitors.

The best example? Google Reviews Scraper now costs 0.2 credits per review instead of 1 credit. That's a 5× reduction. 🚀

__Update #1 – Pricing adjustment and simplification 💰__ - What changed image3

What if you’ve consumed all your credits and don’t have the budget to upgrade to a higher plan?

You can use the reset billing cycle feature to resubscribe to your current plan anytime and get a fresh credit allocation—no need to upgrade to a higher tier. 🔄

What didn't change

Scale pricing remains $0.50 per 1,000 results—the same rate you've had on higher-tier plans all along.

__Update #1 – Pricing adjustment and simplification 💰__ - What didn't change

If you're scraping at volume, nothing changes for you. 🎯

Are we still competitive?

Absolutely yes, we stand competitively even on entry level pricing!

Let's compare our top 3 best-selling products to our top 3 competitors on those products for reference:

Google Maps Leads Scraper (lead + email + validation)

Lobstr.io vs Outscraper Entry: $8/1k Entry: $9/1k Scale: $2/1k Scale: $3/1k
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Google Reviews Scraper

Lobstr.io vs Apify Entry: $0.40/1k Entry: $0.50/1k Scale: $0.10/1k Scale: $0.35/1k
f

Sales Navigator Leads Scraper (with email enrichment)

Lobstr.io vs Evaboot Entry: $20/1k Entry: $49.50/1k Scale: $5/1k Scale: $17/1k
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In short, we're still the most affordable scraper in the market… and of course, the best 🏆.

Update #2 – 5 new scrapers launched 🚀

January was absolutely packed.

We shipped 5 brand new scrapers in a single month—our biggest release yet.

  1. TripAdvisor Reviews Scraper
  2. Instagram Profile Scraper
  3. Instagram Post Scraper
  4. TikTok Comments Scraper
  5. LinkedIn Post Commenter & Liker Scraper

TripAdvisor Reviews Scraper ⭐

TripAdvisor hosts billions of reviews across restaurants, hotels, and attractions—and now you can turn them into structured, actionable data.

The TripAdvisor Reviews Scraper lets you collect all reviews from any TripAdvisor listing with 50+ data attributes per review.

__Update #2 – 5 new scrapers launched 🚀__ - __TripAdvisor Reviews Scraper ⭐__

What you can collect:

  1. Complete review text and ratings
  2. User profile information
  3. Business details and metadata
  4. Engagement metrics
  5. Multilingual reviews count

This makes it easy to analyze sentiment, track competitor performance, monitor brand reputation, and work with hospitality data at scale.

Instagram Profile Scraper 📸

Extract complete profile data from any public Instagram account.

The Instagram Profile Scraper collects 44+ data points from any Instagram profile, including bio, external links, engagement stats, and the latest 12 posts.

__Update #2 – 5 new scrapers launched 🚀__ - __Instagram Profile Scraper 📸__

What you can collect:

  1. Full bio and profile metadata
  2. External links and contact information
  3. Follower and engagement statistics
  4. Latest 12 posts with engagement data
  5. Account verification status

Perfect for influencer research, competitor analysis, and building targeted prospect lists.

Instagram Post Scraper 📷

Go deeper than surface-level post data.

The Instagram Post Scraper extracts 85+ data points from any Instagram post, giving you complete visibility into content performance and engagement.

__Update #2 – 5 new scrapers launched 🚀__ - __Instagram Post Scraper 📷__

What you can collect:

  1. Complete caption text and hashtags
  2. Likes, comments, and engagement metrics
  3. Carousel images and videos metadata
  4. Tagged users and location data
  5. Post timing and performance indicators

This lets you analyze content strategies, track campaign performance, and understand what drives engagement on Instagram.

TikTok Comments Scraper 💬

TikTok comments drive community engagement and brand sentiment—and now you can collect them all.

The TikTok Comments Scraper extracts all comments from any TikTok video with 20+ data attributes per comment.

__Update #2 – 5 new scrapers launched 🚀__ - __TikTok Comments Scraper 💬__

What you can collect:

  1. Complete comment text
  2. Likes and reply counts
  3. User profile information
  4. Timestamps and engagement metrics
  5. Threaded replies and interactions

Perfect for sentiment analysis, community research, and understanding audience reactions at scale.

LinkedIn Post Commenter & Liker Scraper 💼

Finally—a safe way to collect LinkedIn engagement data and enrich it with verified emails.

The LinkedIn Post Commenter & Liker Scraper extracts likers and commenters from any LinkedIn post, then enriches profiles with verified professional emails.

__Update #2 – 5 new scrapers launched 🚀__ - __LinkedIn Post Commenter & Liker Scraper 💼__

What you can collect:

  1. All likers and commenters from any post
  2. Complete profile data for each user
  3. Verified professional emails
  4. Engagement type and timestamp
  5. Export-ready lead lists

Fast, no-code, and completely safe—zero account ban risk.

Perfect for lead generation, building targeted outreach lists, and identifying engaged prospects.

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