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Celery is an asynchronous task queue/job queue based on distributed message passing.

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

Which is more popular?
Based on our record, SerpApi seems to be a lot more popular than Celery Project. While we know about 99 links to SerpApi, we've tracked only 5 mentions of Celery Project.
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | celeryproject.org | 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 Celery Project 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 Celery Project yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
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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 Celery Project 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 Celery Project and SerpApi. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


How can I test if a task (task_id) is still processed in celery? I have the following scenario:. Source: over 4 years ago
I recently integrated celery (django-celery to be more specific) in one of my applications. I have a model in the application as follows. Source: over 4 years ago
I am trying to write a small application that receives video files, and convert them to a uniform format after they have been uploaded (thus added to the database). I have searched the web for the best solution for this, and have decided... Source: over 4 years ago
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 / 3 days ago
SerpApi for the nearby search integration. - Source: dev.to / 13 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 / 16 days ago
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