
Parseur.com
DocParser
Docsumo
Nanonets
Mailparser
Parsio.io
Email Parser
Easily extract data from emails and convert it into useable, structured information. Discover the most efficient way of email data extraction that saves time and generates leads for your marketing department

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

Which is more popular?
Based on our record, SerpApi seems to be a lot more popular than Parserr. While we know about 92 links to SerpApi, we've tracked only 1 mention of Parserr.
Website, pricing, platforms and company facts side by side.
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| Website | parserr.com | serpapi.com |
| Pricing | ||
| Company | — | Startup from the United States · 50 - 99 employees |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Parserr yet.
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...
What each product offers, as listed by its team.


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


No analysis of Parserr yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Parserr and SerpApi.
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 Parserr and SerpApi. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Look into Power Automate, strip out anything with Parserr and loop Office Scripts in to. Works pretty slick. Source: over 5 years ago
Real-world note: For production, integrate with SerpAPI, Brave Search API, or Tavily. The structure stays the same. - Source: dev.to / 2 months ago
And here's the code for SearchGoogleShopping that works with Google Shopping using SerpApi:. - Source: dev.to / 5 months ago
I work at SerpApi [0], and we offer a free tier that may serve your needs if you're just looking to do programmatic searches periodically. Much of the reason people go with a service like ours is because of the difficulty with rolling... - Source: Hacker News / 5 months ago
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