
Bright Data
Firecrawl
ScrapingBee
tavily
DataForSEO
Scraper API
SearchApi.io
Scrape Google and 100+ other search engine results from our fast, easy, and complete API.

hiapi
Replicate.com
Stability
DeepAI
Ruxa.ai
remove.bg for Photoshop
Pay-per-use AI image and video generation API for developers and e-commerce businesses. **What you can do:** - Generate images with SDXL, FLUX Pro, and FLUX Schnell models - Remove backgrounds (no ML expertise needed, one API call) - Replace backgro

Which is more popular?
Based on our record, SerpApi seems to be a lot more popular than PixelAPI.dev. While we know about 93 links to SerpApi, we've tracked only 4 mentions of PixelAPI.dev.
Website, pricing, platforms and company facts side by side.
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| Website | serpapi.com | pixelapi.dev |
| Pricing | ||
| Company | Startup from the United States · 50 - 99 employees | 1 - 9 employees · 41001 |
| 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 PixelAPI.dev 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
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
OpenAI Function Calling - Connect AI to the Internet
More videos
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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 PixelAPI.dev.
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 PixelAPI.dev. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


SerpApi | https://serpapi.com | Junior to Senior Fullstack Engineer multiple positions | Customer Success Engineer | Hiring Coordinator | Python/Ruby/PHP/Js/Rust/Kotlin/C#/Crystal/Nim/Elixir Developer Advocate positions | Based in... - Source: Hacker News / 1 day ago
Real-world note: For production, integrate with SerpAPI, Brave Search API, or Tavily. The structure stays the same. - Source: dev.to / 3 months ago
And here's the code for SearchGoogleShopping that works with Google Shopping using SerpApi:. - Source: dev.to / 5 months ago
Import httpx Import os PIXELAPI_KEY = os.environ["PIXELAPI_KEY"] Def color_grade(image_url: str, style: str) -> str: response = httpx.post( "https://pixelapi.dev/api/color-grade", headers={"Authorization": f"Bearer... - Source: dev.to / 4 months ago
I shipped PixelAPI's /v1/pattern endpoint yesterday — 8 styles, 512px or 1024px output, recolor + upscale ops, fully seamless tileable. At $0.008/pattern, it's 2-5× cheaper than PatternedAI's GUI sessions. - Source: dev.to / 5 months ago
Import fs from "fs"; Import path from "path"; Import fetch from "node-fetch"; Import FormData from "form-data"; Async function addShadow(imagePath) { const form = new FormData(); form.append("image",... - Source: dev.to / 5 months ago
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