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from $10.50 / 1,000 remediation reports

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PageSpeed Remediation Backlog Builder

Try for free

Turn a PageSpeed Insights / Lighthouse audit batch into an evidence-linked remediation queue, one report per unique URL+strategy, with honest thresholds-crossed evidence and no invented ROI.

Pricing

from $10.50 / 1,000 remediation reports

Rating

0.0

(0)

Developer

Tim Zinin

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

SEO tools

Developer tools

You can access the PageSpeed Remediation Backlog Builder programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "items": [{
9            "input": "https://www.bbc.com/",
10            "sourceUrl": "https://www.googleapis.com/pagespeedonline/v5/runPagespeed",
11            "found": True,
12            "status": "ok",
13            "resultCount": 1,
14            "partial": False,
15            "error": "",
16            "warnings": [],
17            "checkedAt": "2026-09-23T05:03:23.591Z",
18            "schemaVersion": "1.0",
19            "url": "https://www.bbc.com/",
20            "strategy": "mobile",
21            "finalUrl": "https://www.bbc.com/",
22            "performanceScore": 0.56,
23            "LCP": 7170.740664599693,
24            "CLS": 0.11022084164631413,
25            "TBT": 315,
26            "FCP": 3021.000657027039,
27            "SI": 6007.5946841464975,
28            "metricSource": "lab",
29            "metricUnits": {
30                "LCP": "ms",
31                "CLS": "unitless",
32                "TBT": "ms",
33                "FCP": "ms",
34                "SI": "ms",
35            },
36            "fetchTime": "2026-09-23T05:03:03.710Z",
37            "lighthouseVersion": "13.5.0",
38            "topOpportunities": [
39                {
40                    "id": "bootup-time",
41                    "title": "Reduce JavaScript execution time",
42                    "description": "Consider reducing the time spent parsing, compiling, and executing JS. You may find delivering smaller JS payloads helps with this. [Learn how to reduce Javascript execution time](https://developer.chrome.com/docs/lighthouse/performance/bootup-time/).",
43                    "displayValue": "1.5 s",
44                    "estimatedSavingsMs": 550,
45                    "estimatedSavingsBytes": 0,
46                    "metricSavings": { "TBT": 550 },
47                },
48                {
49                    "id": "unused-javascript",
50                    "title": "Reduce unused JavaScript",
51                    "description": "Reduce unused JavaScript and defer loading scripts until they are required to decrease bytes consumed by network activity. [Learn how to reduce unused JavaScript](https://developer.chrome.com/docs/lighthouse/performance/unused-javascript/).",
52                    "displayValue": "Est savings of 494 KiB",
53                    "estimatedSavingsMs": 450,
54                    "estimatedSavingsBytes": 505401,
55                    "metricSavings": {
56                        "LCP": 450,
57                        "FCP": 0,
58                    },
59                },
60                {
61                    "id": "cache-insight",
62                    "title": "Use efficient cache lifetimes",
63                    "description": "A long cache lifetime can speed up repeat visits to your page. [Learn more about caching](https://developer.chrome.com/docs/performance/insights/cache).",
64                    "displayValue": "Est savings of 664 KiB",
65                    "estimatedSavingsMs": 450,
66                    "estimatedSavingsBytes": 0,
67                    "metricSavings": {
68                        "LCP": 450,
69                        "FCP": 0,
70                    },
71                },
72                {
73                    "id": "mainthread-work-breakdown",
74                    "title": "Minimize main-thread work",
75                    "description": "Consider reducing the time spent parsing, compiling and executing JS. You may find delivering smaller JS payloads helps with this. [Learn how to minimize main-thread work](https://developer.chrome.com/docs/lighthouse/performance/mainthread-work-breakdown/)",
76                    "displayValue": "2.4 s",
77                    "estimatedSavingsMs": 300,
78                    "estimatedSavingsBytes": 0,
79                    "metricSavings": { "TBT": 300 },
80                },
81                {
82                    "id": "font-display-insight",
83                    "title": "Font display",
84                    "description": "Consider setting [`font-display`](https://developer.chrome.com/docs/performance/insights/font-display) to `swap` or `optional` to ensure text is consistently visible. `swap` can be further optimized to mitigate layout shifts with [font metric overrides](https://developer.chrome.com/blog/font-fallbacks).",
85                    "displayValue": "Est savings of 50 ms",
86                    "estimatedSavingsMs": 50,
87                    "estimatedSavingsBytes": 0,
88                    "metricSavings": {
89                        "FCP": 50,
90                        "INP": 0,
91                    },
92                },
93            ],
94            "categoryScores": { "performance": 0.56 },
95        }] }
96
97# Run the Actor and wait for it to finish
98run = client.actor("zinin/pagespeed-remediation-backlog").call(run_input=run_input)
99
100# Fetch and print Actor results from the run's dataset (if there are any)
101print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
102for item in client.dataset(run.default_dataset_id).iterate_items():
103    print(item)
104
105# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

PageSpeed Remediation Backlog Builder API in Python

The Apify API client for Python is the official library that allows you to use PageSpeed Remediation Backlog Builder API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

PageSpeed Remediation Backlog Builder API in JavaScript

PageSpeed Remediation Backlog Builder API through CLI

PageSpeed Remediation Backlog Builder OpenAPI definition

PageSpeed Remediation Backlog Builder API

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