Scrapfly Blog
Tutorials, guides, and insights on web scraping, data extraction, and automation 268 articles
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12 postsGuide to Python requests POST method
Discover how to use Python's requests library for POST requests, including JSON, form data, and file uploads, along with response handling tips.
What is HTTP Error 429 Too Many Request and How to Fix it
HTTP 429 is an infamous response code that indicates request throttling or distribution is needed. Let's take a look at ...
Guide to Python Requests Headers
Our guide to request headers for Python requests library. How to configure and what do they mean.
Axios vs Fetch: Which HTTP Client to Choose in JS?
Explore the differences between Fetch and Axios - two essential HTTP clients in JavaScript - and discover which is best ...
How to Fix 403 Forbidden Errors When Web Scraping
Learn why web scrapers get 403 Forbidden errors and how to fix them with 7 Python solutions, from headers to TLS fingerp...
What is HTTP 422 Error? (Unprocessable Entity)
422 Unprocessable Entity error is usually caused by a semantically invalid request. Learn http error 422 causes and how ...
What is HTTP 415 Error? (Unsupported Media Type)
Quick look at HTTP status code 415 — what does it mean and how can it be prevented and bypassed in scraping?
What is HTTP 409 Error? (Conflict)
HTTP status code 409 generally means a conflict or mismatch with the server state. Learn why it happens and how to avoid...
What is HTTP 413 Error? (Payload Too Large)
HTTP status code 413 generally means that POST or PUT data is too large. Let's take a look at how to handle this.
Playwright vs Selenium
Explore the key differences between Playwright vs Selenium in terms of performance, web scraping, and automation testing...
What is HTTP 406 Error? (Not Acceptable)
HTTP status code 406 generally means wrong Accept- header family configuration. Here's how to prevent it.
What is Parsing? From Raw Data to Insights
Learn about the fundamentals of parsing data, across formats like JSON, XML, HTML, and PDFs. Learn how to use Python par...
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