google-search-results-python

Google Search Results via SERP API pip Python Package (by serpapi)

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Posts with mentions or reviews of google-search-results-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-20.
  • Make Direct Async Requests to SerpApi with Python
    1 project | dev.to | 24 May 2023
    In this blog post we'll cover on how to make direct requests to serpapi.com/search.json without using SerpApi's google-search-results Python client.
  • Using Google Jobs Listing Results API from SerpApi
    1 project | dev.to | 15 Nov 2022
    google-search-results is a SerpApi API package.
  • Python Machine Learning
    1 project | dev.to | 5 Aug 2022
    In previous weeks, we have implemented a way to automatically gather preprocessed and labelled data with SerpApi’s Google Images Scraper API, using Python library of SerpApi called Google Search Results in Python. We stored the scraped images in a local N1QL Couchbase Server in order to implement future asynchronous processes. N1QL is a good data model for bringing the power of SQL in JSON form. We store the images with their label names in the server and fetch them automatically whenever a machine learning training or testing process is in place. For now, label names represent the query made on SerpApi’s Google Images Scraper API, one query per each line. In the future we will add automatic gathering of missing queries in the datasets before the training.
  • How to Train a Scalable Classifier with FastAPI and SerpApi ?
    3 projects | dev.to | 20 May 2022
    from multiprocessing.dummy import Array : It's an automatically added library for multiprocessing purposes from serpapi import GoogleSearch : It's SerpApi's library for using various engines SerpApi supports. You may find more information on its Github Repo. Simply install it via pip install google-search-results command. from pydantic import BaseModel : Pydantic allows us to create object models with ease. import mimetypes : Mimetypes is useful for guessing the extension of the downloaded element before you write it into an image. It allows us to guess .jpg, .png etc. extensions of files. import requests : Python's HTTP requests library with the coolest logo ever made for a library. import json : For reading and writing JSON files. It will be useful for storing old links of images we have already downloaded. import os : For writing images in local storage of the server, or creating folders for different queries.
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