first find its source location. If the data is in a non-text-based format, such as an image or a PDF document, use the network tool of your web browser to find the corresponding request, and reproduce images (e.g. PDF), read the response as bytes from response.body and use an OCR solution to extract the desired data as text. For example, you can use pytesseract. To read a table from a PDF, tabula-py 'full/0a79c461a4062ac383dc4fade7bc09f1384a3910.jpg', 'url': 'http://www.example.com/files/product1.pdf'}), (False, Failure(...))] By default the get_media_requests() method returns None which means there

first find its source location. If the data is in a non-text-based format, such as an image or a PDF document, use the network tool of your web browser to find the corresponding request, and reproduce images (e.g. PDF), read the response as bytes from response.body and use an OCR solution to extract the desired data as text. For example, you can use pytesseract. To read a table from a PDF, tabula-py 'full/0a79c461a4062ac383dc4fade7bc09f1384a3910.jpg', 'url': 'http://www.example.com/files/product1.pdf'}), (False, Failure(...))] By default the get_media_requests() method returns None which means there

first find its source location. If the data is in a non-text-based format, such as an image or a PDF document, use the network tool of your web browser to find the corresponding request, and reproduce desired data from response.text. If the response is an image or another format based on images (e.g. PDF), read the response as bytes from response.body and use an OCR solution to extract the desired data example, you can use pytesseract [https://github.com/madmaze/pytesseract]. To read a table from a PDF, tabula-py [https://github.com/chezou/tabula-py] may be a better choice. If the response is SVG, or

first find its source location. If the data is in a non-text-based format, such as an image or a PDF document, use the network tool of your web browser to find the corresponding request, and reproduce images (e.g. PDF), read the response as bytes from response.body and use an OCR solution to extract the desired data as text. For example, you can use pytesseract. To read a table from a PDF, tabula-py 'full/0a79c461a4062ac383dc4fade7bc09f1384a3910.jpg', 'url': 'http://www.example.com/files/product1.pdf'}), (False, Failure(...))] By default the get_media_requests() method returns None which means there

first find its source location. If the data is in a non-text-based format, such as an image or a PDF document, use the network tool of your web browser to find the corresponding request, and reproduce images (e.g. PDF), read the response as bytes from response.body and use an OCR solution to extract the desired data as text. For example, you can use pytesseract. To read a table from a PDF, tabula-py 'full/0a79c461a4062ac383dc4fade7bc09f1384a3910.jpg', 'url': 'http://www.example.com/files/product1.pdf'}), (False, Failure(...))] By default the get_media_requests() method returns None which means there

first find its source location. If the data is in a non-text-based format, such as an image or a PDF document, use the network tool of your web browser to find the corresponding request, and reproduce images (e.g. PDF), read the response as bytes from response.body and use an OCR solution to extract the desired data as text. For example, you can use pytesseract. To read a table from a PDF, tabula-py 'full/0a79c461a4062ac383dc4fade7bc09f1384a3910.jpg', 'url': 'http://www.example.com/files/product1.pdf', 'status': 'downloaded'}), (False, Failure(...))] By default the get_media_requests() method returns

first find its source location. If the data is in a non-text-based format, such as an image or a PDF document, use the network tool of your web browser to find the corresponding request, and reproduce images (e.g. PDF), read the response as bytes from response.body and use an OCR solution to extract the desired data as text. For example, you can use pytesseract. To read a table from a PDF, tabula-py 'full/0a79c461a4062ac383dc4fade7bc09f1384a3910.jpg', 'url': 'http://www.example.com/files/product1.pdf', 'status': 'downloaded'}), (False, Failure(...))] By default the get_media_requests() method returns

first find its source location. If the data is in a non-text-based format, such as an image or a PDF document, use the network tool of your web browser to find the corresponding request, and reproduce images (e.g. PDF), read the response as bytes from response.body and use an OCR solution to extract the desired data as text. For example, you can use pytesseract. To read a table from a PDF, tabula-py 'full/0a79c461a4062ac383dc4fade7bc09f1384a3910.jpg', 'url': 'http://www.example.com/files/product1.pdf', 'status': 'downloaded'}), (False, Failure(...))] By default the get_media_requests() method returns

first find its source location. If the data is in a non-text-based format, such as an image or a PDF document, use the network tool of your web browser to find the corresponding request, and reproduce desired data from response.text. If the response is an image or another format based on images (e.g. PDF), read the response as bytes from response.body and use an OCR solution to extract the desired data example, you can use pytesseract [https://github.com/madmaze/pytesseract]. To read a table from a PDF, tabula-py [https://github.com/chezou/tabula-py] may be a better choice. If the response is SVG, or

first find its source location. If the data is in a non-text-based format, such as an image or a PDF document, use the network tool of your web browser to find the corresponding request, and reproduce images (e.g. PDF), read the response as bytes from response.body and use an OCR solution to extract the desired data as text. For example, you can use pytesseract. To read a table from a PDF, tabula-py 'full/0a79c461a4062ac383dc4fade7bc09f1384a3910.jpg', 'url': 'http://www.example.com/files/product1.pdf', 'status': 'downloaded'}), (False, Failure(...))] By default the get_media_requests() method returns