# data[].attributes.body
1. Slump (p.11):

2. Dreaded (p.11):

3. Muttered (p.12):

4. Ballroom dancing (p.12):

5. Bogeys (p.12):

6. Scrawling (p.13):

7. Prancing (p.14):

8. Whimpered (p.14):

9. Emblazoned (p.15):

10. Trimming( p.15):

11. Concealed ( p.16)

12. Squatted (p.16)

13. Halt (p.16)

14. Gust (p.18)

15. Tucked up (p.18)

16. Burgundy ( p.18)

17. Crestfallen ( p.19)

18. Spluttered (p.19)

# data[].attributes.body
1. Marble (p.21):

2. Mantelpiece (p.21):

3. Deafness (p.21):

4. Loathed (p.22):

5. Reeked (p.22):

6. Mouldy (p.22):

7. Acknowledging (p.23):

8. Worthwhile (p.23):

9. Chipped (p.23):

10. Saggy (p.26):

11. Stacked (p.26):

12. Windowsill (p.26):

13. Luridly (p.26):

14. Trundled (p.28):

15. Gulped (p.28):

# data[].attributes.body
1. Scouring (p. 29):

2. Beguiled (p. 29):

3. Crammed (p. 29):

4. Leak (p. 30):

5. Stashed (p. 31):

6. Stepladder (p. 32):

7. Biro (p. 32):

8. Lumbered (p. 34):

9. Shrouded (p. 35):

10. Peered (p. 35):

11. Entice (p. 36):

12. Chick flick (p. 37):

13. Goo (p. 37):

# data[].attributes.body
1. Drainpipe (p. 66):

2. Clunky (p. 67):

3. Drenched (p. 67):

4. Memorabilia (p. 68):

5. Wig (p. 69):

6. Earwax (p. 69):

7. Doodle (p. 69):

8. Shivering (p. 71):

9. Balaclava (p. 72):

10. Stoop (p. 72):

11. Scuttling (p. 73):

12. Whirring (p. 73):

13. Swerved (p. 74):

14. Screwed (p. 77):

15. Throttle (p. 77):

16. Hummed (p. 77):

17. Witnessed (p. 79):

18. Oaths (p. 79):

19. Sighed (p. 80):

20. Ventured (p. 80):

21. Startled (p. 81):

# data[].attributes.body
1. Musty (p. 39):

2. Tedium (p. 41):

3. Inwardly (p. 41):

4. Damp (p. 42):

5. Frayed (p. 42):

6. Smuggler (p. 46):

7. Prickly (p. 46):

1. Purred (p. 47):

2. Drooling (p. 48):

3. Swivelled (p. 48):

4. Cradle (p. 49):

5. Hectic (p. 51):

6. Braised (p. 52):

7. Trudged (p. 53):

8. Revved (p. 54):

# data[].attributes.body
1. Soldier (p. 57):

2. Cinder (p. 57):

3. Platoon (p. 58):

4. Nippy (p. 58):

5. Flicked (p. 58):

6. Assortment (p. 59):

7. Fumbling (p. 60):

8. Yanked (p. 60):

9. Smeared (p. 60):

10. Blowtorch (p. 60):

11. Nook (p. 62):

12. Chuckle (p. 63):

13. Manure (p. 64):

# data[].attributes.body
1. Sketching (p. 100):

2. Under duress (p. 100):

3. Hideous (p. 100):

4. Hedgerow (p. 103):

5. Badger (p. 103):

5. Pickle (p. 106):

6. Sewing machine ( p.108)

7. Partner (p. 108)

8. Revoltingly (p.109)

9. Sparkly leotard (p.109)

10. Frogspawn ( p.109)

11. Befuddled ( p.110)

12. Snatch ( p.110)

13. Accurate (p.111)

14. Grazed (p. 111):

15. Stream (p.112)

16. Hound (p.113)

17. Rip me to shreds (p. 111)

18. Shivered up ( p.114)

19. Swallow (p.115)

# data[].attributes.body
1. Fondness (p. 82)

2. Fetch (p. 83):

3. Whereabouts (p. 83):

4. Larder (p. 83):

5. Rummaged (p. 84):

6. Shotgun (p. 87):

7. Pheasants (p. 87):

8. Almighty (p. 88):

9. Teak (p. 89):

10. Speeding ticket (91):

11. Burst into ( 92):

12. Came off (93):

13. Dagger (94):

14. Beamed ( 94):

15. Kicked out (95):

16. Podgy (95):

17. Trudged (95):

18. Wearily (95):

19. Jabbered (97):

20. Scornfully (97):

21. Jump the gun (98):

# data[].attributes.body
1. Flummoxed

2. Menace

3. Repeat

4. Surreptitious

5. Abet

6. Insistent

7. Glare

8. dazzling

9. huge

10. cruise liner

13. whilst

14. jewel

15. caught red-handed

16. sparkling

17. decade

18. herd

19. adder

20. peer

21. menace

22. spluttered

23. mock

24. barge in

25. triumphantly

26. wink

27. Peeping Tom

28. chuckle

29. under lock and key

30. in silent wonder

# data[].attributes.body
1.Sneaked out

2. Leafed through

3. Dabbing

4. As fit as a butcher's dog

5. At the stroke of midnight

6. Scuba diving gear

7. Daft

8. Drill out

9. Swiped

10. Stale

11. A doddle

# data[].attributes.body
1. Buzz

2. Squirmed

3. Waving

4. Pram

5. Thrill

6. Chuckled

7. Matron

8. Wink

# data[].attributes.body
1. Tap-shoe

2. Ammunition

3. Heartthrob

4. Clingfilm

5. Plodded on

6. Spotlight

7. Slugs

8. Fussy

9. Deafening

10. Against all (the) odds

# data[].attributes.body
1. Mob

2. Whatsoever

3. Rehearsed

4. Contempt

5. Bounded

6. Slammed

7. Let down

8. Hauled

9. Admonished

10. Wearing off

11. Chatty

12. Lanes

13. Blustered

14. Dwarf

# data[].attributes.body
1. boot

2. pavements

3. doggy-paddled

4. lagged

5. scalp

6. whacked

7. pong

# data[].attributes.body
1. soggy

2. smug

3. bash

4. sheepishly

5. alibi

6. beaming

7. waddle

8. in a jiffy

9. slump

10. peep out

11. bluster

12. daft

13. puddle

# data[].attributes.body
1. winding

2. stretch out

3. drip

4. wake

5. in awe

6. topaz

7. anoint

8. flask

9. posh

10. fuse

11. squeak

12. daring

13. tin

# data[].attributes.body
1. furry

2. ashamed

3. tell [sb] off

4. at the best of times

5. solely

6. bow

7. complain

8. deceive

9. worthless

10. falteringly

11. cough

# data[].attributes.body
1. clipped

2. matter at hand

3. mean

4. get carried away

5. fidget

6. chuckle

7. selfish

8. moan

9. rummage

10. quartered

11. wry

12. grovel

13. abide

# data[].attributes.body
1. speed bump

2. good golly

3. stiff

4. ease off

5. whirring

6. fleet

7. vest

8. surge forward

9. pin

10. fumble

11. handcuff

# data[].attributes.body
1. dew

2. unearthly

3. mist

4. yawn

5. twinkling

6. waver

7. worn

8. reassuringly

9. splutter

10. a heap of

11. reluctantly

# data[].attributes.body
1. drainpipe

2. sob

3. wretchedly

4. chime in

5. fall back on

6. gathered

7. pace

8. slip away

9. famished

10. vending machine

11. run out of time

12. momentous

# data[].attributes.body
1. bizarre

2. coffin

3. mourner

4. mumble

5. vicar

6. waffle on

7. clutter up

8. Zimmer frame

9. a scattering of

10. icicle