Brandwave

Apify vs Oxylabs:Which is more popular in New Zealand?

In October 2026, Apify had more branded searches than Oxylabs among web data extraction platforms in New Zealand. Apify had about 720 branded searches, while Oxylabs had 50. Apify made up 63.7% of all web data extraction platform searches we track, and Oxylabs accounted for 4.4%. When we asked ChatGPT and Google AI Overviews about web data extraction platforms, Apify appeared in all five answers and Oxylabs in none.

Among web data extraction platforms in New Zealand in October 2026

Who do people search for more?

Apify, about 14 searches for every 1 for Oxylabs

Apify 720 searchesOxylabs 50 searches

Who does AI mention more?

Apify, mentioned in every answer we collected

Apify in 5 of 5Oxylabs in 0 of 5

Who does AI recommend more?

Apify, the only one of the two named

Apify first in 5Oxylabs never named

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Top web data extraction platforms in ChatGPT and Google AI Overviews

In three ChatGPT questions and two Google AI Overviews, Apify appeared in all five answers. Oxylabs did not appear in any of the five answers.

Most recommended by AI

Brands get a higher ranking if they are mentioned earlier in the answers.

  1. Apify1st
  2. Octoparse2nd
  3. Browse AI3rd
  4. Zyte4th
  5. Bright Data5th
  6. Oxylabs–
  7. ScrapingBee–

Mentioned by AI

Each dot is one answer, filled in when that answer mentions the brand.

  • Apify5 of 5Named in 3 of 3 ChatGPT answersNamed in 2 of 2 Google answers
  • Bright Data4 of 5Named in 3 of 3 ChatGPT answersNamed in 1 of 2 Google answers
  • Octoparse4 of 5Named in 2 of 3 ChatGPT answersNamed in 2 of 2 Google answers
  • Browse AI4 of 5Named in 3 of 3 ChatGPT answersNamed in 1 of 2 Google answers
  • Zyte2 of 5Named in 2 of 3 ChatGPT answersNamed in 0 of 2 Google answers
  • Oxylabs0 of 5Named in 0 of 3 ChatGPT answersNamed in 0 of 2 Google answers
  • ScrapingBee0 of 5Named in 0 of 3 ChatGPT answersNamed in 0 of 2 Google answers

See every answer about web data extraction platforms

5 answers

Not named in any answer:

Brands are shown in the order each answer named them. The survey took place in New Zealand on October 21, 2026.

Is Apify or Oxylabs more popular in search?

This chart shows how often people search Google for Apify and Oxylabs by name. Each line represents a brand's share of searches for all seven web data extraction platforms we track, month by month, from searches in New Zealand.

Apify and Oxylabs among web data extraction platforms in New Zealand, by month

Share of searches by month for Apify, Oxylabs. The figures are in the table below the chart.

View monthly share of searches table
MonthApifyBright DataOctoparseOxylabsZyteScrapingBeeBrowse AI
Nov 202552.7%19.8%9.9%5.5%4.4%2.2%5.5%
Dec 202551.6%22.6%6.5%8.1%6.5%1.6%3.2%
Jan 202650.5%29.5%5.3%5.3%3.2%1.1%5.3%
Feb 202647.1%27.5%6.9%3.9%3.9%2%8.8%
Mar 202655.7%17.7%10.8%4.4%2.5%1.9%7%
Apr 202663.8%15.9%5.1%5.1%3.6%2.9%3.6%
May 202662.9%15.7%5%5%5%2.9%3.6%
Jun 202654.5%21.2%5.3%6.8%6.8%2.3%3%
Jul 202657.6%22.4%3.2%5.6%5.6%3.2%2.4%
Aug 202660.5%23.5%2.5%3.4%4.2%1.7%4.2%
Sep 202656.7%21.2%4.8%4.8%6.7%1.9%3.8%
Oct 202663.7%19.5%6.2%4.4%3.5%1.8%0.88%

How has branded search for Apify and Oxylabs changed in New Zealand over the last 12 months?

3 findings

How did search popularity change for New Zealand web data extraction platforms in October 2026?

2 changes
  1. In October 2026, Apify gained share of searches among web data extraction platforms in New Zealand, from 56.7% to 63.7%.

  2. In October 2026, Oxylabs rose from 5th to 4th among web data extraction platforms in New Zealand.

How are Apify’s and Oxylabs’ branded searches counted?

2 search terms

Brandwave collects information about searches that people make online using Apify’s and Oxylabs’ names. When viewed over time, estimated search volumes for these branded terms can be used to understand whether interest in the brands is growing, holding steady, or fading.

Apify

1 branded search term

  • apify

Oxylabs

1 branded search term

  • oxylabs

How the Brand Demand Index is measured

Other head-to-heads among web data extraction platforms

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