Table:
Club	Season	League	Cup	Continental	Other	Total

Division	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals

San Lorenzo	2002–03	Argentine Primera División	11	0	—	1	0	—	12	0

2003–04	Argentine Primera División	27	3	—	3	0	—	30	3

2004–05	Argentine Primera División	28	5	—	9	0	—	37	5

Total	66	8	0	0	13	0	0	0	79	8

Espanyol	2005–06	La Liga	27	2	1	0	7	0	—	35	2

2006–07	La Liga	20	0	0	0	9	0	2	0	31	0

2007–08	La Liga	32	1	4	0	—	36	1

Total	79	3	5	0	16	0	2	0	102	3

Manchester City	2008–09	Premier League	29	1	2	0	11	0	—	42	1

2009–10	Premier League	27	0	8	0	—	35	0

2010–11	Premier League	26	2	8	0	11	0	—	45	2

2011–12	Premier League	21	1	5	0	5	0	0	0	31	1

2012–13	Premier League	30	2	6	1	5	0	1	0	42	3

2013–14	Premier League	35	1	7	0	6	0	—	48	1

2014–15	Premier League	29	1	1	0	6	1	0	0	36	2

2015–16	Premier League	13	0	6	0	3	0	—	22	0

2016–17	Premier League	20	1	5	1	7	0	—	32	2

Total	230	9	48	2	54	1	1	0	333	12

West Ham United	2017–18	Premier League	37	0	2	0	—	39	0

2018–19	Premier League	25	0	1	0	—	26	0

Total	62	0	3	0	0	0	0	0	65	0

Career total	437	20	56	2	83	1	3	0	579	23

Can you extract the data from these specific rows in the table provided?
the 24th row
the 9th row

Output the cell values in a row as JSON in the format {"row_id":"<row index>", "cell_list":"<a list of cells in this row>"}, e.g., {"row_id":"3", "cell_list": ["123.89", "News gathering", "selected tools"]}.

The extracted row contents are listed below.
For the 24th row: {"row_id": "24", "cell_list": ['career total', '', '', '437', '20', '56', '2', '83', '1', '3', '0', '579', '23']}
For the 9th row: {"row_id": "9", "cell_list": ['', '2007-08', 'la liga', '32', '1', '4', '0', '-', '', '36', '1', 'none', 'none']}