Network analysis by Chrome when page loads
I would like to export this data to Microsoft Excel so that I will have a list of similar data when loaded at different times. Loading a page one time doesn't really tell me much especially if I want to compare pages.
if you right click on any of the rows you can export the item or the entire data set as HAR which appears to be a JSON format.
It shouldn't be terribly difficult to script up something to transform that to a csv if you really need it in excel, but if you're already scripting you might as well just use the script to ask your questions of the data.
If anyone knows how to drive the "load page, export data" part of the process from the command line I'd be quite interested in hearing how
jq (stedolan.github.io/jq), a command line JSON processor. For example, you could extract the requested urls from a HAR json file with the command cat har-log.json | jq '.log.entries[].request.url' -r
from Chrome 76, you have Import/Export buttons.
I was trying to copy the size data measured from Chrome Network and stumbled on this post. I just found an easier way to "export" the data out to excel which is to copy the table and paste to excel.
The trick is click Control + A (select all) and once the entire table will be highlighted, paste it to Microsoft Excel. The only issue is if there are too many fields, not all rows are copied and you might have to copy and paste several times.
UPDATED: I found that copying the data only works when I turn off the filter options (the funnel-looking button above the table). – bendur
Right-click and export as HAR, then view it using Jan Odvarko's HAR Viewer
This helps in visualising the already captured HAR logs.
In Chrome, in the Developer Tools, under Network, in the Name column, right-click and select "Save as HAR with content". Then open a new tab, go to https://toolbox.googleapps.com/apps/har_analyzer/ and open the saved HAR file.
I came across the same problem, and found that easier way is to undock the developer tool's video to a separate window! (Using the right hand top corner toolbar button of developer tools window) and in the new window , simply say select all and copy and paste to excel!!
Note that ≪Copy all as HAR≫ does not contain response body.
You can get response body via ≪Save as HAR with Content≫, but it breaks if you have any more than a trivial amount of logs (I tried once with only 8k requests and it doesn't work.) To solve this, you can script an output yourself using _request.contentData().
When there's too many logs, even _request.contentData() and ≪Copy response≫ would fail, hopefully they would fix this problem. Until then, inspecting any more than a trivial amount of network logs cannot be properly done with Chrome Network Inspector and its best to use another tool.
You can use fiddler web debugger to import the HAR and then it is very easy from their on... Ctrl+A (select all) then Ctrl+c (copy summary) then paste in excel and have fun
I don't see an export or save as option.
I filtered out all the unwanted requests using -.css -.js -.woff then right clicked on one of the requests then Copy > Copy all as HAR
Then pasted the content into a text editor and saved it.
I had same issue for which I came here. With some trials, I figured out for copying multiple pages of chrome data as in the question I zoomed out till I got all the data in one page, that is, without scroll, with very small font size. Now copy and paste that in excel which copies all the records and in normal font. This is good for few pages of data I think.
Google Chrome version 116 can export the waterfall data at the Network tab by using "Export HAR" feature
The result is HAR file, which you can open and analyze using Google HAR Analyzer https://toolbox.googleapps.com/apps/har_analyzer/
To get this in excel or csv format- right click the folder and select "copy response"- paste to excel and use text to columns.
You can try use Haiphen, which is a chrome extension that allows you to analyze network traffic and what API calls a web application is making.
Here is a python script that parses the .har file and dumps the relative information into csv file.
import json import csv import os from urllib.parse import urlparse import mimetypes def parse_har_to_csv(har_file_path, output_csv_path): with open(har_file_path, 'r', encoding='utf-8') as f: har_data = json.load(f) entries = har_data['log']['entries'] with open(output_csv_path, 'w', newline='', encoding='utf-8') as csvfile: fieldnames = [ 'url', 'method', 'status', 'mimeType', 'file_extension', 'size_kb', 'time_ms', 'initiator' ] writer = csv.DictWriter(csvfile, fieldnames=fieldnames) writer.writeheader() for entry in entries: request = entry['request'] response = entry['response'] timings = entry['timings'] url = request.get('url', '') mimeType = response.get('content', {}).get('mimeType', '') status = response.get('status', '') method = request.get('method', '') size_kb = round(response.get('bodySize', 0) / 1024, 2) time_ms = round(entry.get('time', 0), 2) parsed_url = urlparse(url) path = parsed_url.path file_extension = os.path.splitext(path)[1][1:] or mimetypes.guess_extension(mimeType) or '' initiator = entry.get('_initiator', {}).get('type', 'unknown') writer.writerow({ 'url': url, 'method': method, 'status': status, 'mimeType': mimeType, 'file_extension': file_extension, 'size_kb': size_kb, 'time_ms': time_ms, 'initiator': initiator }) print(f"HAR parsed and saved to: {output_csv_path}") # Usage if __name__ == '__main__': har_file = 'your-file.har' # Replace with path to your HAR file output_csv = 'har_output.csv' parse_har_to_csv(har_file, output_csv) 