Segment
Google Analytics
Mixpanel
Egnyte
Zapier
Hotjar
RStudio
Geckoboard
Scrapy
Apify
import.io
Octoparse
ParseHub
ScrapingBee
Portia
Scraper API
Segment ScrapyScrapy is recommended for developers, data scientists, and businesses that need to gather data from websites efficiently. It's particularly useful for projects involving data aggregation, market research, competitive analysis, and monitoring pricing changes across various platforms.
Based on our record, Scrapy should be more popular than Segment. It has been mentiond 101 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For teams just starting out with PLG enrichment: Datagma as the primary personal email resolver, PDL as fallback, Segment as the event bus, Mixpanel for behavioral event storage (the SQL explorer makes it easy to export activation cohorts for offline scoring analysis without touching production code), and whatever CRM you already have. - Source: dev.to / 3 months ago
Twilio Segment: Specializes in customer data collection with a more neutral stance toward destination platforms. Its API allows flexible data routing across your tech stack without being tied to specific engagement channels. - Source: dev.to / over 1 year ago
To collect these metrics effectively, you'll need specialized tools like Google Analytics, Mixpanel, Segment, or Amplitude. - Source: dev.to / over 1 year ago
Segment for event collection and routing. - Source: dev.to / over 1 year ago
Segment โ Customer data platform for tracking and analytics. - Source: dev.to / over 1 year ago
Think about what a mature scraping project already contains. There is a schema that every item must validate against. There are field coverage thresholds, because a run where only 60% of products have prices is a failed run no matter what the exit code says. There are expected item counts, error rate ceilings, and finish reason checks. In the Scrapy world we even have a dedicated framework for all of this, and I... - Source: dev.to / 2 months ago
This guide walks through the full process using uv, a fast, modern Python toolchain that replaces pip, virtualenv, pip-tools, twine, and build with a single tool. We will write a reusable Scrapy download handler, structure it as a proper Python package, test it, and publish it to PyPI. - Source: dev.to / 3 months ago
In Scrapy, Zyte API integrates via the scrapy-zyte-api package:. - Source: dev.to / 3 months ago
Scrapy is the standard Python framework for web scraping. It handles crawling, scheduling, and data pipelines. rs-trafilatura plugs into Scrapy as an item pipeline โ your spider yields items with HTML, and the pipeline adds structured extraction results automatically. - Source: dev.to / 5 months ago
One might ask, what about Scrapy? I'll be honest: I don't really keep up with their updates. But I haven't heard about Zyte doing anything to bypass TLS fingerprinting. So out of the box Scrapy will also be blocked, but nothing is stopping you from using curl_cffi in your Scrapy Spider. - Source: dev.to / almost 2 years ago
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.
import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.
Egnyte - Enterprise File Sharing
Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.
