the header text will appear at the end of a page text extraction (although it will be correctly shown by PDF viewer software). For example, the following snippet will add some header and footer lines open("some.pdf") header = "Header" # text in header footer = "Page %i of %i" # text in footer for page in doc: page.insert_text((50, 50), header) # insert header page.insert_text( # insert footer 50 points height - 50), footer % (page.number + 1, doc.page_count), ) The text sequence extracted from a page modified in this way will look like this: 1. original text 2. header line 3. footer line 54 Chapter

当您想在页面上显示复杂信息时，您可以使用 Card, Header, DetailGroup, DetailItem 和 Divider 来布局 页面: @app.page('/detail', 'Detail Page') def detail_page(): return [ Card(content=[ Header('Header of the record', 1), DetailGroup('Refund ␣ �→height=50, footer=[Statistic('Daily Sales', '$12423', inline=True)]) ]), Column([ ChartCard('Total Sales', '$126,560', 'The total sales number of xxx',␣ �→height=50, footer=[Statistic('Daily ␣ �→height=50, footer=[Statistic('Daily Sales', '$12423', inline=True)]) ]), Column([ ChartCard('Total Sales', '$126,560', 'The total sales number of xxx',␣ �→height=50, footer=[Statistic('Daily

Receives a response and a dict (representing each row) with a key for each provided (or detected) header of the CSV file. This spider also gives the opportunity to override adapt_response and process_results useful to create nested loaders. Imagine you’re extracting details from a footer of a page that looks something like: Example: <footer> Like Us Us footer> Without nested loaders, you need to specify the full xpath (or css) for each value that you wish to extract. Example: loader = ItemLoader(item=Item()) # load stuff not in the footer loader

Receives a response and a dict (representing each row) with a key for each provided (or detected) header of the CSV file. This spider also gives the opportunity to override adapt_response and process_results useful to create nested loaders. Imagine you’re extracting details from a footer of a page that looks something like: Example: <footer> Like Us Follow Us Email Us footer> Without nested loaders, you need to specify the full xpath (or css) for each value that you wish

with a key for each provided (or detected) 3.2. Spiders 39 Scrapy Documentation, Release 1.3.3 header of the CSV file. This spider also gives the opportunity to override adapt_response and process_results Imagine you’re extracting details from a footer of a page that looks something like: Example: 64 Chapter 3. Basic concepts Scrapy Documentation, Release 1.3.3 <footer> 0 码力 | 272 页 | 1.11 MB | 1 年前

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for each provided (or detected) 36 Chapter 3. Basic concepts Scrapy Documentation, Release 1.1.3 header of the CSV file. This spider also gives the opportunity to override adapt_response and process_results useful to create nested loaders. Imagine you’re extracting details from a footer of a page that looks something like: Example: <footer> Like Us footer> Without nested loaders, you need to specify the full xpath (or css) for each value that you wish to extract. Example: loader = ItemLoader(item=Item()) # load stuff not in the footer loader

Receives a response and a dict (representing each row) with a key for each provided (or detected) header of the CSV file. This spider also gives the opportunity to override adapt_response and process_results useful to create nested loaders. Imagine you’re extracting details from a footer of a page that looks something like: Example: <footer> Like Us .com/whatever">Follow Us Email Us footer> Without nested loaders, you need to specify the full xpath (or css) for each value that you wish

with a key for each provided (or detected) 3.2. Spiders 39 Scrapy Documentation, Release 1.5.2 header of the CSV file. This spider also gives the opportunity to override adapt_response and process_results useful to create nested loaders. Imagine you’re extracting details from a footer of a page that looks something like: Example: <footer> Like Us Us footer> Without nested loaders, you need to specify the full xpath (or css) for each value that you wish to extract. Example: loader = ItemLoader(item=Item()) # load stuff not in the footer loader

Receives a response and a dict (representing each row) with a key for each provided (or detected) header of the CSV file. This spider also gives the opportunity to override adapt_response and process_results useful to create nested loaders. Imagine you’re extracting details from a footer of a page that looks something like: Example: <footer> Like Us Follow Us Email Us footer> Without nested loaders, you need to specify the full xpath (or css) for each value that you wish

Receives a response and a dict (representing each row) with a key for each provided (or detected) header of the CSV file. This spider also gives the opportunity to override adapt_response and process_results useful to create nested loaders. Imagine you’re extracting details from a footer of a page that looks something like: Example: <footer> Like Us .com/whatever">Follow Us Email Us footer> Without nested loaders, you need to specify the full xpath (or css) for each value that you wish