Topic · 4 resources
Templates, scripts and measured data for checking Google positions when results are noisy or poisoned: repeat checks, error bars, A-Parser recipes.
Ready addTask body, a Python wrapper and rules for measuring Google positions with A-Parser SE::Google and Bypass poisoned SERP, plus proxy cost per 1,000 keys.
What you get
3 of 3 runs finished with the warm-up option, 2 of 3 without it
1.0-1.7 MB of proxy traffic per keyword, 3 pages
$1.70-2.89 per 1,000 keywords at $1.70 per GB
Two runs of the same query share 7.6 of 10 domains in A-Parser, 6.0 in DataForSEO Estonia, 4.8 in DataForSEO US. CSV of 4,642 rows, CC BY 4.0.
What you get
0.76 top-10 overlap between two A-Parser runs, Estonia
0.60 the same for DataForSEO, Estonia
0.48 the same for DataForSEO, United States
One-page cheat sheet: error bars by position band, outlier rate and thresholds for jumps and retries. Each number has a date, a sample size and a limit.
What you get
7 % of exact positions match between two searches in one browser
10-15 % of single measurements show the other version of the page
50 / 15 / 40 % jump flag, retry round, re-measure cap
Python script, stdlib only: flags keywords whose top 10 flipped, remeasures only those, keeps the second result only if it is closer to the last check.
What you get
< 5 of 10 shared top-10 domains mean the page flipped
40% of the keywords at most are remeasured
7% of the cases flipped in the author's replay
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