| Residential | Cost/month | Traffic/month | $ per GB | Rotating | IP whitelisting | Performance and more | |
|---|---|---|---|---|---|---|---|
| Oxylabs.io |  | $ 300 | 25 GB | 9 - 12 "pay-as-you-go" - 15 | yes | yes | - 30K requests - 1.3 GB of data - 5K pages crawled |
| Rainproxy.io | yes | $ 4 | from 1 GB | 4 | yes | ||
| Infatica.io | | from $ 96 | from 10 GB | 3.5 - 12 | yes | yes | Over 95% success *Bans from Cloudflare are also few, less than 5%. |
| BrightData | yes | 15 | |||||
| Charity Engine -docs | yes | - | - | starting from 3.6 Additionally: CPU computing - from $0.01 per avg CPU core-hour - from $0.10 per GPU-hour - source. | failed to connect so far | ||
| Smartproxy | yes | 7-10 "pay-as-you-go" - 12.5 | yes |
Category: Development
What is MERN?
The MERN stack is a set of frameworks and tools used for developing a software product. They are very specifically chosen to work together in creating a well-functioning software (see a MERN app code at the post bottom).
Categories
A Full Stack Todo App
In this post we are presenting you a Full-Stack Todo App, which is built in React.js, Next.js and Sequelize Sqlite3, and it is responsively implemented according to different screen sizes (see the code at the post bottom).
Categories
AirTable scrape challenge
I need to get info from AirTable, see a table example.
The problem is that data are loaded highly dynamically. Html contains only the information that you currently see on the browser screen.
If there are a lot of records then it is difficult to collect such a table. One of the possible ways is to calculate the size of the screen and rows in the table. Then using the browser automation and use to make a script that will scroll through it bit by bit and collect data.
Is there any other feasible way to get data of a table? For example there is a HTTP requests coding way to get dynamic data.
JS infinite scroll does not work for AirTable either.
Please comment down here if having some tips , hints.
We’ve already stated some Tips and Tricks of scraping business directories or data aggregators sites. Yet recently someone has asked us to do aggregators’ scraping in the context of Google Sheets and/or MS Excel.
Recently we’ve performed the Yelp business directory scrape for acquiring high quality B2B leads (company + CEO info). This forced us to apply many techniques like proxying, external company site scrape, email verification and more.
We’ve got some code provided by Akash D. working on ticketmaster.co.uk. He automates browser (Chrome as well as Edge) using Selenium with Python. The rotating authenticated proxies are leveraged to keep undetected. Yet, the site is protected with Distil network.
Recently we encountered a website that worked as usual, yet when composing and running scraping script/agent it has put up blocking measures.
In this post we’ll take a look at how the scraping process went and the measures we performed to overcome that.
In this post I want to share on how one may scrape business directory data, real estate using Scrapy framework.
Categories
PHP Curl POSTing JSON example
<?php
$base_url = "https://openapi.octoparse.com";
$token_url = $base_url . '/token';
$post =[
'username' => 'igorsavinkin',
'password' => '<xxxxxx>',
'grant_type' => 'password'
];
$payload = json_encode($post);
$headers = [
'Content-Type: application/json' ,
'Content-Length: ' . strlen($payload)
];
$timeout = 30;
$ch_upload = curl_init();
curl_setopt($ch_upload, CURLOPT_URL, $token_url);
if ($headers) {
curl_setopt($ch_upload, CURLOPT_HTTPHEADER, $headers);
}
curl_setopt($ch_upload, CURLOPT_POST, true);
curl_setopt($ch_upload, CURLOPT_POSTFIELDS, $payload /*http_build_query($post)*/ );
curl_setopt($ch_upload, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch_upload, CURLOPT_CONNECTTIMEOUT, $timeout);
$response = curl_exec($ch_upload);
if (curl_errno($ch_upload)) {
echo 'Curl Error: ' . curl_error($ch);
}
curl_close($ch_upload);
//echo 'Response length: ', strlen($response);
echo $response ;
$fp = fopen('octoparse-api-token.json', 'w') ;
fwrite($fp, $response );
fclose($fp);