SerpApi's answer

We provide more search engines under one subscription.

Twexapi's answer:

You should choose Twexapi because it gives you high‑volume, real‑time access to X (formerly Twitter) data without the prohibitive cost or complex authentication you’ll find with many alternatives. Its simple API‑key setup, scalable credit‑based pricing and seamless integration with developer workflows make it ideal for building scalable monitoring tools quickly. In scenarios where you’re tracking keywords, user behavior or sentiment — especially in fast‑moving fields like crypto/markets — Twexapi offers the flexibility, speed and developer‑friendliness you need.

SerpApi's answer

Developers/Companies who need data from search engines.

Twexapi's answer:

The primary audience of Twexapi consists of developers, data‑analysts, and businesses who need high‑volume, real‑time access to data from X (formerly Twitter) — including tweet streams, user profiles, sentiment trends and keyword monitoring. They are typically building solutions such as social‑media monitoring tools, market research or trend‑detection systems, and are looking for something more cost‑effective, scalable and integration‑friendly than standard official APIs.

SerpApi's answer

Ruby on Rails and MongoDB

Twexapi's answer:

just AI + cursor + claude code + v0

SerpApi's answer

We're the first web scraping company that focus on scraping search engines.

Twexapi's answer:

What makes Twexapi unique is that it offers cost‑effective, high‑access API access to the X (Twitter) platform, by combining real‑time data streaming with minimal rate limits, packaged in a developer‑friendly service model. Unlike many standard API offerings which impose tight limits and high cost, Twexapi positions itself to open up more access for deeper, faster usage.

SerpApi's answer

Back in 2017, Julien Khaleghy, the founder of SerpApi, built an iOS app that can analyze data from a picture. iOS didn't have a proper machine learning framework back then. It was challenging: iPhones' RAM were limited, no GPU or no dedicated chip acceleration were available, using only CPU was painfully slow, and compiling/porting C code from machine learning framework like Tensorflow or Caffe to iOS wasn't straightforward. Oddly, all of this wasn't the most difficult part of this project. Collecting images from Google Images was.

In these projects, 80% of his time ended up being spent on scraping and parsing Google Images. And maybe only 20% on actual machine learning model training, UI design of the actual apps, and iOS programming. This is how SerpApi was born.

Twexapi's answer:

Twexapi was born out of a need for developers, analysts and businesses to access high‑volume, real‑time Twitter (X) data without being shackled by the cost and rate‑limits of official APIs. Leveraging a simpler key‑based authentication and a flexible credit‑based pricing model, Twexapi aims to make social‑media data accessible at scale — whether you’re building trend‑monitoring tools, content‑analytics platforms or sentiment‑tracking systems. Over time it evolved to support full streaming, user‑profile access, engagement metrics and integration with automation workflows, positioning itself as the accessible, developer‑friendly alternative in the Twitter data ecosystem.

SerpApi's answer

• Airbnb
• Nvidia
• Meta
• Shopify
• Grubhub
• and more!