
Bright Data
Firecrawl
DataForSEO
ScrapingBee
tavily
Scraper API
SearchApi.io
Access real-time results from Google and 100+ search engines with a simple API. No proxies, CAPTCHAs, or parsing required.

SoftHome DZ
Rosie
Podium
Smith.ai
Birdeye
Softgen AI
Bland AI
Managed AI answering service for home-service businesses. Every call answered 24/7, callers qualified, jobs booked straight onto your calendar. Fully managed setup — we build and tune the call flows. $59/mo + 5¢/min, free 2-week pilot, no contract.

Which is more popular?
Based on our record, SerpApi seems to be more popular. It has been mentioned 99 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | serpapi.com | trexinet.com |
| Pricing | ||
| Company | Startup from the United States · 50 - 99 employees | — |
| Listed in |
In their own words, as submitted to SaaSHub.


We help you automate gathering data from search engines like Google, Bing, or Yahoo. What's cool about SerpApi is that it handles all the scraping complexities for you, like dealing with CAPTCHAs, managing IP addresses, and parsing data into a structured JSON. So you don't have to worry about the...
No description of Trexinet yet.
What each product offers, as listed by its team.


An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of Trexinet yet.
Walkthroughs and reviews on video.
OpenAI Function Calling - Connect AI to the Internet
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing SerpApi and Trexinet.
SerpApi's answer
We provide more search engines under one subscription.
SerpApi's answer
Developers/Companies who need data from search engines.
SerpApi's answer
Ruby on Rails and MongoDB
SerpApi's answer
We're the first web scraping company that focus on scraping search engines.
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.
SerpApi's answer
Share your experience with using SerpApi and Trexinet. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Jobs: SerpApi Google Jobs, one shared search per role family for all of Ireland, refreshed about once a week, so one search serves every user. (The Google Jobs engine rejects gl=ie; the location alone works.) Plus 55 employers' public... - Source: dev.to / about 23 hours ago
SerpApi for the nearby search integration. - Source: dev.to / 10 days ago
Get_local_air_news searches Google News through SerpApi for the city's air quality headlines from the last seven days. The EPA guidance explains what an AQI level means, but the guidance cannot know that a city closed its schools this... - Source: dev.to / 14 days ago
Tracking Trexinet since Aug 2026.
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