Retry logic is code that automatically resends a failed web request instead of giving up after one attempt. It checks the type of failure and decides whether trying again makes sense.
When a request fails, the scraper checks the error type, such as a timeout, connection reset, or server error status code. If the error looks temporary, the retry logic waits briefly and sends the request again, often through a different proxy. This process repeats up to a set number of attempts, and after that limit, the scraper logs the failure and moves to the next task.
Handle it deliberately in production scrapers -- most breakage traces back to skipping this step.
USER-country-de-session-task01Add this string to your scraper's proxy credentials and every request in the job shares one exit IP, which keeps retry logic-related behavior consistent across the run. Change "task01" per worker to isolate parallel scrapes.
Isolate the logic for this step so every scraper in the project shares one tested implementation.
Sites change layouts and behavior over time -- recheck this part of the scraper on a schedule, not just at launch.
This works best over residential or ISP IPs, so the target sees ordinary browsing rather than clustered datacenter traffic.
Capture what actually failed so a broken selector or a new status code surfaces instead of getting masked by automatic retries.
A price-monitoring bot retries a failed page load three times before marking that product page as unreachable.
Retry logic keeps large scraping jobs running smoothly, since single network hiccups do not stop the whole process. It also improves data completeness, because pages that fail once due to a slow server often succeed on a second try.
Most scrapers use 2 to 5 retries before giving up on a request. Going higher than that usually wastes bandwidth on pages that are permanently blocked or offline.
Not always. If the failure looks like a block or rate limit, switching to a new proxy on retry gives a better chance of success than reusing the flagged address.
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